{"id":674,"date":"2017-09-10T19:48:09","date_gmt":"2017-09-10T19:48:09","guid":{"rendered":"http:\/\/davidscanlon.com\/?page_id=674"},"modified":"2024-10-15T12:05:48","modified_gmt":"2024-10-15T12:05:48","slug":"software","status":"publish","type":"page","link":"https:\/\/davidscanlon.com\/?page_id=674","title":{"rendered":"Software"},"content":{"rendered":"<div class=\"post\">\n<div class=\"post\">\n<h2 class=\"title\"><a>doped<\/a><\/h2>\n<\/div>\n<p><a href=\"https:\/\/doped.readthedocs.io\/en\/latest\/\"><img decoding=\"async\" align=\"right\" width=\"275\" src=\"https:\/\/raw.githubusercontent.com\/SMTG-Bham\/doped\/master\/docs\/doped_v2_logo.png\"><\/a><\/p>\n<p>Written by <a href=\"https:\/\/seankavanagh.com\/\">Se\u00e1n Kavanagh<\/a>, along with contributions from group members (and alumni) <a href=\"https:\/\/scholar.google.co.uk\/citations?user=fAg0t6wAAAAJ&#038;hl=en\">Alex Squires<\/a>, <a href=\"https:\/\/scholar.google.com\/citations?user=6W-kJRgAAAAJ&#038;hl=en&#038;oi=ao\">Adair Nicolson<\/a>, <a href=\"https:\/\/scholar.google.com\/citations?user=oIMzt0cAAAAJ&#038;hl=en\">Irea Mosquera-Lois<\/a>, <a href=\"https:\/\/virtualatoms.org\/\">Alex Ganose<\/a>, and <a href=\"https:\/\/zhubonan.github.io\/\">Bonan Zhu<\/a>, <a style=\"font-weight:bold\" href=\"https:\/\/doped.readthedocs.io\">doped<\/a> is a Python package for managing solid-state defect calculations, with functionality to generate defect structures and relevant competing phases (for chemical potentials), interface with<br \/>\n<a style=\"font-weight:bold\" href=\"https:\/\/shakenbreak.readthedocs.io\">ShakeNBreak<\/a> for defect structure-searching (see below), write VASP input files for defect supercell calculations, and automatically parse and analyse the results.<\/p>\n<p><a href=\"https:\/\/doped.readthedocs.io\/en\/latest\"><img decoding=\"async\" src=\"https:\/\/raw.githubusercontent.com\/SMTG-UCL\/doped\/master\/docs\/JOSS\/doped_JOSS_workflow_figure.png\"><\/a><\/p>\n<p><\/p>\n<p>Tutorials showing the code functionality and usage are provided on the <a href=\"https:\/\/doped.readthedocs.io\/en\/latest\/\">doped documentation site<\/a>.<\/p>\n<p>If you use <b>doped<\/b> in your work, please cite the JOSS paper:<\/p>\n<p>S. R. Kavanagh et al. doped: Python toolkit for robust and repeatable charged defect supercell calculations, Journal of Open Source Software 9 (96), 6433, 2024<\/p>\n<h3>Publications using doped<\/h3>\n<p>See the updated list on the <a href=\"https:\/\/doped.readthedocs.io\/en\/latest\/#studies-using-doped-so-far\">doped documentation site<\/a>!<\/p>\n<ol>\n<li>X. Wang et al. <b>Upper efficiency limit of Sb<sub>2<\/sub>Se<sub>3<\/sub> solar cells<\/b> <a href=\"https:\/\/arxiv.org\/abs\/2402.04434\">arXiv<\/a> 2024<\/li>\n<li>I. Mosquera-Lois et al. <b>Machine-learning structural reconstructions for accelerated point defect calculations<\/b> <a href=\"https:\/\/doi.org\/10.48550\/arXiv.2401.12127\">arXiv<\/a> 2024<\/li>\n<li>W. Dou et al. <b>Giant Band Degeneracy via Orbital Engineering Enhances Thermoelectric Performance from Sb<sub>2<\/sub>Si<sub>2<\/sub>Te<sub>6<\/sub> to Sc<sub>2<\/sub>Si<sub>2<\/sub>Te<sub>6<\/sub><\/b> <a href=\"https:\/\/doi.org\/10.26434\/chemrxiv-2024-hm6vh\">ChemRxiv<\/a> 2024<\/li>\n<li>K. Li et al. <b>Computational Prediction of an Antimony-based n-type Transparent Conducting Oxide: F-doped Sb<sub>2<\/sub>O<sub>5<\/sub><\/b> <a href=\"https:\/\/doi.org\/10.1021\/acs.chemmater.3c03257\">Chemistry of Materials<\/a> 2023<\/li>\n<li>X. Wang et al. <b>Four-electron negative-U vacancy defects in antimony selenide<\/b> <a href=\"https:\/\/journals.aps.org\/prb\/abstract\/10.1103\/PhysRevB.108.134102\">Physical Review B<\/a> 2023<\/li>\n<li>Y. Kumagai et al. <b>Alkali Mono-Pnictides: A New Class of Photovoltaic Materials by Element Mutation<\/b> <a href=\"http:\/\/dx.doi.org\/10.1103\/PRXEnergy.2.043002\">PRX Energy<\/a> 2023<\/li>\n<li>S. M. Liga &#038; S. R. Kavanagh, A. Walsh, D. O. Scanlon, G. Konstantatos <b>Mixed-Cation Vacancy-Ordered Perovskites (Cs<sub>2<\/sub>Ti<sub>1\u2013x<\/sub>Sn<sub>x<\/sub>X<sub>6<\/sub>; X = I or Br): Low-Temperature Miscibility, Additivity, and Tunable Stability<\/b> <a href=\"https:\/\/doi.org\/10.1021\/acs.jpcc.3c05204\">Journal of Physical Chemistry C<\/a> 2023<\/li>\n<li>A. T. J. Nicolson et al. <b>Cu<sub>2<\/sub>SiSe<sub>3<\/sub> as a promising solar absorber: harnessing cation dissimilarity to avoid killer antisites<\/b> <a href=\"https:\/\/doi.org\/10.1039\/D3TA02429F\">Journal of Materials Chemistry A<\/a> 2023<\/li>\n<li>Y. W. Woo, Z. Li, Y-K. Jung, J-S. Park, A. Walsh <b>Inhomogeneous Defect Distribution in Mixed-Polytype Metal Halide Perovskites<\/b> <a href=\"https:\/\/doi.org\/10.1021\/acsenergylett.2c02306\">ACS Energy Letters<\/a> 2023<\/li>\n<li>P. A. Hyde et al. <b>Lithium Intercalation into the Excitonic Insulator Candidate Ta<sub>2<\/sub>NiSe<sub>5<\/sub><\/b> <a href=\"https:\/\/doi.org\/10.1021\/acs.inorgchem.3c01510\">Inorganic Chemistry<\/a> 2023<\/li>\n<li>J. Willis, K. B. Spooner, D. O. Scanlon <b>On the possibility of p-type doping in barium stannate<\/b> <a href=\"https:\/\/doi.org\/10.1063\/5.0170552\">Applied Physics Letters<\/a> 2023<\/li>\n<li>J. Cen et al. <b>Cation disorder dominates the defect chemistry of high-voltage LiMn<sub>1.5<\/sub>Ni<sub>0.5<\/sub>O<sub>4<\/sub> (LMNO) spinel cathodes<\/b> <a href=\"https:\/\/doi.org\/10.1039\/D3TA00532A\">Journal of Materials Chemistry A<\/a> 2023<\/li>\n<li>J. Willis &#038; R. Claes et al. <b>Limits to Hole Mobility and Doping in Copper Iodide<\/b> <a href=\"https:\/\/doi.org\/10.1021\/acs.chemmater.3c01628\">Chemistry of Materials<\/a> 2023<\/li>\n<li>I. Mosquera-Lois &#038; S. R. Kavanagh, A. Walsh, D. O. Scanlon <b>Identifying the ground state structures of point defects in solids<\/b> <a href=\"https:\/\/www.nature.com\/articles\/s41524-023-00973-1\">npj Computational Materials<\/a> 2023<\/li>\n<li>Y. T. Huang &#038; S. R. Kavanagh et al. <b>Strong absorption and ultrafast localisation in NaBiS<sub>2<\/sub> nanocrystals with slow charge-carrier recombination<\/b> <a href=\"https:\/\/www.nature.com\/articles\/s41467-022-32669-3\">Nature Communications<\/a> 2022<\/li>\n<li>S. R. Kavanagh, D. O. Scanlon, A. Walsh, C. Freysoldt <b>Impact of metastable defect structures on carrier recombination in solar cells<\/b> <a href=\"https:\/\/doi.org\/10.1039\/D2FD00043A\">Faraday Discussions<\/a> 2022<\/li>\n<li>Y-S. Choi et al. <b>Intrinsic Defects and Their Role in the Phase Transition of Na-Ion Anode Na<sub>2<\/sub>Ti<sub>3<\/sub>O<sub>7<\/sub><\/b> <a href=\"https:\/\/doi.org\/10.1021\/acsaem.2c03466\">ACS Applied Energy Materials<\/a> 2022<\/li>\n<li>S. R. Kavanagh, D. O. Scanlon, A. Walsh <b>Rapid Recombination by Cadmium Vacancies in CdTe<\/b> <a href=\"https:\/\/pubs.acs.org\/doi\/full\/10.1021\/acsenergylett.1c00380\">ACS Energy Letters<\/a> 2021<\/li>\n<li>C. J. Krajewska et al. <b>Enhanced visible light absorption in layered Cs<sub>3<\/sub>Bi<sub>2<\/sub>Br<sub>9<\/sub> through mixed-valence Sn(II)\/Sn(IV) doping<\/b> <a href=\"https:\/\/doi.org\/10.1039\/D1SC03775G\">Chemical Science<\/a> 2021<\/li>\n<hr>\n<div class=\"post\">\n<h2 class=\"title\"><a>ThermoParser<\/a><\/h2>\n<\/div>\n<p><a href=\"https:\/\/smtg-bham.github.io\/ThermoParser\/\"><img decoding=\"async\" align=\"right\" width=\"275\" src=\"https:\/\/smtg-bham.github.io\/ThermoParser\/_static\/tp-logo.png\"><\/a><\/p>\n<p>Written by <a href=\"https:\/\/scholar.google.com\/citations?hl=en&#038;user=DNFQnpgAAAAJ\">Kieran Spooner<\/a>, along with contributions from alumni <a href=\"https:\/\/scholar.google.com\/citations?hl=en&#038;user=0zW9uPQAAAAJ\">Maud Einhorn<\/a> and <a href=\"https:\/\/scholar.google.com\/citations?hl=en&#038;user=XD-sA1MAAAAJ\">Daniel Davies<\/a>, <a style=\"font-weight:bold\" href=\"https:\/\/smtg-bham.github.io\/ThermoParser\/\">ThermoParser<\/a> is a Python package for analysing electronic and thermal transport properties, through unifying data from diverse codes and providing CLI and Python interfaces to simply and transparently retrieve data, calculate emergent properties and produce publication-ready visualisations.<\/p>\n<p><a href=\"https:\/\/smtg-bham.github.io\/ThermoParser\/\"><img decoding=\"async\" src=\"https:\/\/smtg-bham.github.io\/ThermoParser\/_images\/wideband1.png\"><\/a><\/p>\n<p><\/p>\n<p>Tutorials showing the code functionality and usage are provided on the <a href=\"https:\/\/smtg-bham.github.io\/ThermoParser\/tutorials.html\"><b>ThermoParser<\/b> documentation site<\/a>.<\/p>\n<p>If you use <b>ThermoParser<\/b> in your work, please cite the JOSS paper:<\/p>\n<p>Spooner, K. B., Einhorn, M., Davies, D. W., &#038; <b><u>Scanlon, D. O.<\/u><\/b> <a href=\"https:\/\/doi.org\/10.21105\/joss.06340\">ThermoParser: Streamlined Analysis of Thermoelectric Properties<\/a> <i>Journal of Open Source Software<\/i> <b>2024<\/b>, 9(97), 6340. <\/p>\n<h3>Publications using ThermoParser<\/h3>\n<p>This list includes references under the previous name, <b>ThermoPlotter<\/b>.<\/p>\n<ol reversed>\n<li> Dou W., Spooner K. B., Kavanagh S. R., Zhou M. &#038; <b><u>Scanlon, D. O.<\/u><\/b> <a href=\"https:\/\/doi.org\/10.1021\/jacs.4c01838\"> Band Degeneracy and Anisotropy Enhances Thermoelectric Performance from Sb<sub>2<\/sub>Si<sub>2<\/sub>Te<sub>6<\/sub> to Sc<sub>2<\/sub>Si<sub>2<\/sub>Te<sub>6<\/sub><\/a> <i>Journal of the American Chemical Society<\/i> <b>2024<\/b>, 146(26), 17679. <\/li>\n<li> Hachmioune S., Ganose A. M., Sullivan M. B. &#038; <b><u>Scanlon, D. O.<\/u><\/b> <a href=\"https:\/\/doi.org\/10.1021\/acs.chemmater.4c00584\"> Exploring the Thermoelectric Potential of MgB<sub>4<\/sub>: Electronic Band Structure, Transport Properties, and Defect Chemistry<\/a> <i>Chemistry of Materials<\/i> <b>2024<\/b>, 36(12), 6062.<\/li>\n<li> Huo L. &#038; Savory C. N. <a href=\"https:\/\/doi.org\/10.1039\/D3TC02833J\"> Assessing the Electronic and Optical Properties of Lanthanum Diselenide: a Computational Study<\/a> <i>Journal of Materials Chemistry C<\/i> <b>2024<\/b> <\/li>\n<li> Li K., Willis J., Kavanagh S. R. &#038; <b><u>Scanlon, D. O.<\/u><\/b> <a href=\"https:\/\/doi.org\/10.1021\/acs.chemmater.3c03257\"> Computational Prediction of an Antimony-Based n-Type Transparent Conducting Oxide: F-Doped Sb<sub>2<\/sub>O<sub>5<\/sub><\/a> <i>Chemistry of Materials<\/i> <b>2024<\/b>, 36(6), 2907. <\/li>\n<li> Yeganeh M. &#038; Fakhrabad D. V. <a href=\"https:\/\/doi.org\/10.1016\/j.ssc.2023.115391\"> Lattice Thermal Conductivity and Thermoelectric Properties of Two-Dimensional Honeycomb Monolayer of CdO<\/a> <i>Solid State Communications<\/i> <b>2024<\/b>, 378, 115391.<\/li>\n<li> Han D., Zhu B., Cai Z., Spooner K. B., Rudel S. S., Schnick W., Bein T., <b><u>Scanlon, D. O.<\/u><\/b> &#038; Ebert H. <a href=\"https:\/\/doi.org\/10.1016\/j.matt.2023.10.022\"> Discovery of Multi-Anion Antiperovskites X<sub>6<\/sub>NFSn<sub>2<\/sub> (X= Ca, Sr) as Promising Thermoelectric Materials by Computational Screening<\/a> <i>Matter.<\/i> <b>2024<\/b>, 7(1), 158.<\/li>\n<li> Fu Y., Lohan H., Righetto M., Huang Y. T., Kavanagh S. R., Cho C. W., Zelewski S. J., Woo Y. W., Demetriou H., McLachlan M. A., Heutz S., Piot B. A., <b><u>Scanlon, D. O.<\/u><\/b>, Rao, A., Herz, L. M., Walsh, A. &#038; Hoye, R. L. Z. <a href=\"https:\/\/arxiv.org\/abs\/2401.02257\"> Factors Enabling Delocalized Charge-Carriers in Pnictogen-Based Solar Absorbers: in-Depth Investigation into CuSbSe<sub>2<\/sub>.<\/a> <i>arXiv<\/i> <b>2024<\/b>.<\/li>\n<li> Willis J., Spooner K. B. &#038; <b><u>Scanlon, D. O.<\/u><\/b> <a href=\"https:\/\/doi.org\/10.1063\/5.0170552\"> On the Possibility of p-Type Doping in Barium Stannate<\/a> <i>Applied Physics Letters.<\/i> <b>2023<\/b>, 123(16), 162103. <\/li>\n<li> Zeeshan M., Vishwakarma C. K. &#038; Mani B. K. <a href=\"https:\/\/arxiv.org\/abs\/2306.14234\"> First-Principles Study of Disordered Half-Heusler Alloys XFe<sub>0.5<\/sub>Ni<sub>0.5<\/sub>Sn (X = Nb, Ta) as Thermoelectric Prospects <\/a> <i>arXiv<\/i> <b>2023<\/b>. <\/li>\n<li> Rodriguez L. H., Spooner K.B., Einhorn M. &#038; <b><u>Scanlon, D. O.<\/u><\/b> <a href=\"https:\/\/doi.org\/10.1039\/D3TC01003A\"> Sr<sub>2<\/sub>Sb<sub>2<\/sub>O<sub>7<\/sub>: a Novel Earth Abundant Oxide Thermoelectric<\/a> <i>Journal of Materials Chemistry C<\/i> <b>2023<\/b>, 11(27), 9124.<\/li>\n<li> Brlec K., Spooner K. B., Skelton J. M. &#038; <b><u>Scanlon, D. O.<\/u><\/b> <a href=\"https:\/\/doi.org\/10.1039\/D2TA04160J\"> Y<sub>2<\/sub>Ti<sub>2<\/sub>O<sub>5<\/sub>S<sub>2<\/sub> &mdash; a Promising n-Type Oxysulphide for Thermoelectric Applications<\/a> <i>Journal of Materials Chemistry A.<\/i> <b>2022<\/b>, 10(32) 16813.<\/li>\n<li> Spooner K.B., Ganose A.M., Leung W.W., Buckeridge J., Williamson B.A., Palgrave R.G. &#038; <b><u>Scanlon, D. O.<\/u><\/b> <a href=\"https:\/\/doi.org\/10.1021\/acs.chemmater.1c02164\"> BaBi<sub>2<\/sub>O<sub>6<\/sub>: a Promising n-Type Thermoelectric Oxide with the PbSb<sub>2<\/sub>O<sub>6<\/sub> Crystal Structure<\/a> <i>Chemistry of Materials<\/i> <b>2021<\/b>, 33(18), 7441.<\/li>\n<li> Kavanagh S. R., Savory C. N., <b><u>Scanlon, D. O.<\/u><\/b> &#038; Walsh A. <a href=\"https:\/\/doi.org\/10.1039\/D1MH00764E\"> Hidden Spontaneous Polarisation in the Chalcohalide Photovoltaic Absorber Sn<sub>2<\/sub>SbS<sub>2<\/sub>I<sub>3<\/sub><\/a> <i>Materials Horizons<\/i> <b>2021<\/b>, 8(10), 2709.<\/li>\n<li> Spooner, K. B., Ganose, A. M. &#038; <b><u>Scanlon, D. O.<\/u><\/b> <a href=\"https:\/\/doi.org\/10.1039\/D0TA02247K\"> Assessing the Limitations of Transparent Conducting Oxides as Thermoelectrics<\/a> <i>Journal of Materials Chemistry A<\/i> <b>2020<\/b>, 8(24), 11948.<\/li>\n<hr>\n<\/ol>\n<\/ol>\n<div class=\"post\">\n<h2 class=\"title\"><a>easyunfold<\/a><\/h2>\n<\/div>\n<p>Written by <a href=\"https:\/\/zhubonan.github.io\/\">Bonan Zhu<\/a> and <a href=\"https:\/\/scholar.google.com\/citations?user=P-7ICrQAAAAJ&#038;hl=en\">Se\u00e1n Kavanagh<\/a>, <b><a href=\"https:\/\/smtg-bham.github.io\/easyunfold\">easyunfold<\/a><\/b> is a simple, easy-to-use, yet powerful and flexible tool which implements the band structure unfolding workflow using plane-wave DFT codes (such as VASP or CASTEP), all the way from input file generation to publication-quality plotting, as<br \/>\nwell as carrier effective mass analysis.<\/p>\n<p>Tutorials showing the code functionality and usage are provided on the <a href=\"https:\/\/smtg-bham.github.io\/easyunfold\/\">easyunfold documentation site<\/a>.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/smtg-bham.github.io\/easyunfold\/_images\/CSTB_easyunfold.gif\" style=\"float: left;\" width=\"400\" height=\"400\" align=\"right\"\/><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/smtg-bham.github.io\/easyunfold\/_images\/unfold_project_MgO_v_O_0_tall.png\" style=\"float: left;\" width=\"400\" align=\"right\" height=\"400\"\/><\/p>\n<p><\/p>\n<h3>Publications using <b>easyunfold<\/b><\/h3>\n<p>See the updated list on the <a href=\"https:\/\/smtg-bham.github.io\/easyunfold\/#studies-using-easyunfold\">easyunfold documentation site<\/a>!<\/p>\n<ol>\n<li>S. M. Liga &#038; S. R. Kavanagh, A. Walsh, D. O. Scanlon, G. Konstantatos <b>Mixed-Cation Vacancy-Ordered Perovskites (Cs<sub>2<\/sub>Ti<sub>1\u2013x<\/sub>Sn<sub>x<\/sub>X<sub>6<\/sub>; X = I or Br): Low-Temperature Miscibility, Additivity, and Tunable Stability<\/b> <a href=\"https:\/\/doi.org\/10.1021\/acs.jpcc.3c05204\">Journal of Physical Chemistry C<\/a> 2023<\/li>\n<li>A. T. J. Nicolson et al. <b>Interplay of Static and Dynamic Disorder in the Mixed-Metal Chalcohalide Sn<sub>2<\/sub>SbS<sub>2<\/sub>I<sub>3<\/sub><\/b> <a href=\"https:\/\/doi.org\/10.1021\/jacs.2c13336\">Journal of the Americal Chemical Society<\/a> 2023<\/li>\n<li>Y. T. Huang &#038; S. R. Kavanagh et al. <b>Strong absorption and ultrafast localisation in NaBiS<sub>2<\/sub> nanocrystals with slow charge-carrier recombination<\/b> <a href=\"https:\/\/www.nature.com\/articles\/s41467-022-32669-3\">Nature Communications<\/a> 2022<\/li>\n<li>Y. Wang &#038; S. R. Kavanagh et al. <b>Cation disorder engineering yields AgBiS<sub>2<\/sub> nanocrystals with enhanced optical absorption for efficient ultrathin solar cells<\/b> <a href=\"https:\/\/www.nature.com\/articles\/s41566-021-00950-4\">Nature Photonics<\/a> 2022 (Early version)<\/li>\n<\/ol>\n<hr>\n<div class=\"post\">\n<h2 class=\"title\"><a>ShakeNBreak<\/a><\/h2>\n<\/div>\n<p>Written by <a href=\"https:\/\/scholar.google.com\/citations?user=P-7ICrQAAAAJ&#038;hl=en\">Se\u00e1n Kavanagh<\/a> and<br \/>\n<a href=\"https:\/\/scholar.google.com\/citations?user=oIMzt0cAAAAJ&#038;hl=en\">Irea Mosquera-Lois<\/a>, <b><a href=\"https:\/\/shakenbreak.readthedocs.io\/en\/latest\/\">ShakeNBreak<\/a><\/b> (&#8220;SnB&#8221;) implements the defect structure-searching approach detailed in &#8216;<a href=\"https:\/\/www.nature.com\/articles\/s41524-023-00973-1\">Identifying the Ground State Structures of     Defects in Solids<\/a>&#8216;, <i>npj Comput Mater<\/i> 9, 25, 2023. This method employing chemically-guided bond distortions to locate ground-state and metastable structures of point defects in solid materials.<\/p>\n<p>Main features include:<img decoding=\"async\" src=\"..\/toc.png\" width=\"100\" style=\"float: right;\" \/><\/p>\n<ol>\n<li>Defect structure generation:<\/li>\n<ul>\n<li>Automatic generation of distorted structures for input defects<\/li>\n<li>Optionally, input file generation for geometry optimisation with several codes (VASP, CP2K,\n<p>    Quantum-Espresso, CASTEP &#038; FHI-aims)<\/li>\n<\/ul>\n<li>Defect structure analysis:<\/li>\n<ul>\n<li>Automatic parsing of geometry relaxation results<\/li>\n<li>Plotting of final energies versus distortion to demonstrate what energy-lowering reconstructions have been identified<\/li>\n<li>Coordination &#038; bonding analysis to investigate the physico-chemical factors driving an energy-lowering distortion<\/li>\n<li>Magnetisation analysis (currently only supported for VASP)<\/li>\n<\/ul>\n<\/ol>\n<p><img decoding=\"async\" src=\"https:\/\/shakenbreak.readthedocs.io\/en\/latest\/_images\/SnB_Supercell_Schematic_PES_2sec_Compressed.gif\" style=\"float: left;\" width=\"800\"\/><\/p>\n<p>The code supports several DFT codes, including VASP, CP2K, Quantum-Espresso, CASTEP and FHI-aims.<\/p>\n<p>If you use <b>ShakeNBreak<\/b> in your work, please cite the following:<\/p>\n<ul>\n<li>Code: Mosquera-Lois, I. &#038; Kavanagh, S. R.; Walsh, A.; Scanlon, D. O. <a href=\"https:\/\/doi.org\/10.21105\/joss.04817\">ShakeNBreak: Navigating the defect configurational landscape<\/a>, <em>Journal of Open Source Software<\/em> 7 (80), 4817, <strong>2022<\/strong><\/li>\n<li>Theory\/Method: Mosquera-Lois, I. &#038; Kavanagh, S. R.; Walsh, A.; Scanlon, D. O. <a href=\"https:\/\/www.nature.com\/articles\/s41524-023-00973-1\">Identifying the Ground State Structures of Defects in Solids<\/a>, <em>npj Comput Mater<\/em> 9, 25, <strong>2023<\/strong><\/li>\n<\/ul>\n<p>You may also find the following literature useful:<\/p>\n<ul>\n<li>Preview: Mosquera-Lois, I.; Kavanagh, S. R. <a href=\"https:\/\/doi.org\/10.1016\/j.matt.2021.06.003\">In Search of Hidden Defects<\/a>, <em>Matter<\/em> 4 (8), 2602-2605, <strong>2021<\/strong><\/li>\n<li>News &#038; Views: Mannodi-Kanakkithodi, A. <a href=\"https:\/\/doi.org\/10.1038\/s41567-023-02049-9\">The Devil is in the Defects<\/a>, <em>Nature Physics<\/em> <strong>2023<\/strong> (<a href=\"https:\/\/t.co\/EetpnRgjzh\">Free-to-read link<\/a>)<\/li>\n<\/ul>\n<h3>Publications using <b>ShakeNBreak<\/b><\/h3>\n<p>See the updated list on the <a href=\"https:\/\/shakenbreak.readthedocs.io\/en\/latest\/#studies-using-shakenbreak\">ShakeNBreak documentation site<\/a>!<\/p>\n<ol>\n<li>X. Wang et al. <b>Upper efficiency limit of Sb<sub>2<\/sub>Se<sub>3<\/sub> solar cells<\/b> <a href=\"https:\/\/arxiv.org\/abs\/2402.04434\">arXiv<\/a> 2024<\/li>\n<li>I. Mosquera-Lois et al. <b>Machine-learning structural reconstructions for accelerated point defect calculations<\/b> <a href=\"https:\/\/doi.org\/10.48550\/arXiv.2401.12127\">arXiv<\/a> 2024<\/li>\n<li>K. Li et al. <b>Computational Prediction of an Antimony-based n-type Transparent Conducting Oxide: F-doped Sb<sub>2<\/sub>O<sub>5<\/sub><\/b> <a href=\"https:\/\/doi.org\/10.1021\/acs.chemmater.3c03257\">Chemistry of Materials<\/a> 2024<\/li>\n<li>X. Wang et al. <b>Four-electron negative-U vacancy defects in antimony selenide<\/b> <a href=\"https:\/\/journals.aps.org\/prb\/abstract\/10.1103\/PhysRevB.108.134102\">Physical Review B<\/a> 2023<\/li>\n<li>Y. Kumagai et al. <b>Alkali Mono-Pnictides: A New Class of Photovoltaic Materials by Element Mutation<\/b> <a href=\"http:\/\/dx.doi.org\/10.1103\/PRXEnergy.2.043002\">PRX Energy<\/a> 2023<\/li>\n<li>A. T. J. Nicolson et al. <b>Cu<sub>2<\/sub>SiSe<sub>3<\/sub> as a promising solar absorber: harnessing cation dissimilarity to avoid killer antisites<\/b> <a href=\"https:\/\/doi.org\/10.1039\/D3TA02429F\">Journal of Materials Chemistry A<\/a> 2023<\/li>\n<li>J. Willis, K. B. Spooner, D. O. Scanlon <b>On the possibility of p-type doping in barium stannate<\/b> <a href=\"https:\/\/doi.org\/10.1063\/5.0170552\">Applied Physics Letters<\/a> 2023<\/li>\n<li>J. Cen et al. <b>Cation disorder dominates the defect chemistry of high-voltage LiMn<sub>1.5<\/sub>Ni<sub>0.5<\/sub>O<sub>4<\/sub> (LMNO) spinel cathodes<\/b> <a href=\"https:\/\/doi.org\/10.1039\/D3TA00532A\">Journal of Materials Chemistry A<\/a> 2023<\/li>\n<li>J. Willis &#038; R. Claes et al. <b>Limits to Hole Mobility and Doping in Copper Iodide<\/b> <a href=\"https:\/\/doi.org\/10.1021\/acs.chemmater.3c01628\">Chemistry of Materials<\/a> 2023<\/li>\n<li>I. Mosquera-Lois &#038; S. R. Kavanagh, A. Walsh, D. O. Scanlon <b>Identifying the ground state structures of point defects in solids<\/b> <a href=\"https:\/\/www.nature.com\/articles\/s41524-023-00973-1\">npj Computational Materials<\/a> 2023<\/li>\n<li>B. Peng et al. <b>Advancing understanding of structural, electronic, and magnetic properties in 3d-transition-metal TM-doped \u03b1-Ga\u2082O\u2083 (TM = V, Cr, Mn, and Fe)<\/b> <a href=\"https:\/\/doi.org\/10.1063\/5.0173544\">Journal of Applied Physics<\/a> 2023<\/li>\n<li>Y. T. Huang &#038; S. R. Kavanagh et al. <b>Strong absorption and ultrafast localisation in NaBiS<sub>2<\/sub> nanocrystals with slow charge-carrier recombination<\/b> <a href=\"https:\/\/www.nature.com\/articles\/s41467-022-32669-3\">Nature Communications<\/a> 2022<\/li>\n<li>S. R. Kavanagh, D. O. Scanlon, A. Walsh, C. Freysoldt <b>Impact of metastable defect structures on carrier recombination in solar cells<\/b> <a href=\"https:\/\/doi.org\/10.1039\/D2FD00043A\">Faraday Discussions<\/a> 2022<\/li>\n<li>Y-S. Choi et al. <b>Intrinsic Defects and Their Role in the Phase Transition of Na-Ion Anode Na<sub>2<\/sub>Ti<sub>3<\/sub>O<sub>7<\/sub><\/b> <a href=\"https:\/\/doi.org\/10.1021\/acsaem.2c03466\">ACS Applied Energy Materials<\/a> 2022 (Early version)<\/li>\n<li>S. R. Kavanagh, D. O. Scanlon, A. Walsh <b>Rapid Recombination by Cadmium Vacancies in CdTe<\/b> <a href=\"https:\/\/pubs.acs.org\/doi\/full\/10.1021\/acsenergylett.1c00380\">ACS Energy Letters<\/a> 2021<\/li>\n<li>C. J. Krajewska et al. <b>Enhanced visible light absorption in layered Cs<sub>3<\/sub>Bi<sub>2<\/sub>Br<sub>9<\/sub> through mixed-valence Sn(II)\/Sn(IV) doping<\/b> <a href=\"https:\/\/doi.org\/10.1039\/D1SC03775G\">Chemical Science<\/a> 2021 (Early version)<\/li>\n<li>(News &#038; Views): A. Mannodi-Kanakkithodi <b>The devil is in the defects<\/b> <a href=\"https:\/\/doi.org\/10.1038\/s41567-023-02049-9\">Nature Physics<\/a> 2023 (<a href=\"https:\/\/t.co\/EetpnRgjzh\">Free-to-read link<\/a>)<\/li>\n<\/ol>\n<hr>\n<div class=\"post\">\n<h2 class=\"title\"><a>py-sc-fermi<\/a><\/h2>\n<\/div>\n<p>Written by <a href=\"https:\/\/alexsquires.github.io\/\">Dr Alex Squires<\/a> and <a href=\"https:\/\/morgan-group-bath.github.io\/#people\">Dr Ben Morgan<\/a>, <b><a href=\"https:\/\/github.com\/bjmorgan\/py-sc-fermi\">py-sc-fermi<\/a><\/b> is a Python package for calculating the concentration of point defects in (semiconducting) crystalline materials. The required inputs are the volume, density of states of the bulk material, and the formation energies and degeneracies of the point defects. The outputs include the self consistent Fermi energy, defect transition levels, and concentrations of the point defects, electrons and holes at a given temperature. <b>py-sc-fermi<\/b> uses a numerical method to solve for the self-consistent Fermi level in a material, necessary for accurately quantifying the populations of point defects in such materials.<\/p>\n<p><a href=\"https:\/\/davidscanlon.com\/wp-content\/uploads\/2023\/06\/py-sc-fermi.png\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-2257 aligncenter\" src=\"https:\/\/davidscanlon.com\/wp-content\/uploads\/2023\/06\/py-sc-fermi-300x162.png\" alt=\"\" width=\"300\" height=\"162\" srcset=\"https:\/\/davidscanlon.com\/wp-content\/uploads\/2023\/06\/py-sc-fermi-300x162.png 300w, https:\/\/davidscanlon.com\/wp-content\/uploads\/2023\/06\/py-sc-fermi-768x416.png 768w, https:\/\/davidscanlon.com\/wp-content\/uploads\/2023\/06\/py-sc-fermi-1024x554.png 1024w, https:\/\/davidscanlon.com\/wp-content\/uploads\/2023\/06\/py-sc-fermi.png 1996w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/p>\n<p>If you use <b>py-sc-fermi<\/b> in your work, please consider cite the following:<\/p>\n<ul>\n<li>the <a href=\"https:\/\/joss.theoj.org\/papers\/10.21105\/joss.04962\">paper<\/a> associated with the py-sc-fermi<\/li>\n<li>the <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0010465519302048\">paper<\/a> associated with the FORTRAN code SC-Fermi on which this core algorithm was initially based, which provides an excellent discussion of the underlying theory.<\/li>\n<\/ul>\n<hr>\n<div class=\"post\">\n<h2 class=\"title\"><a>surfaxe<\/a><\/h2>\n<\/div>\n<p>Written by <a href=\"https:\/\/github.com\/brlec\">Katarina Brlec<\/a> and <a href=\"https:\/\/scholar.google.com\/citations?user=XD-sA1MAAAAJ&amp;hl=en\">Daniel Davies<\/a>, <b>surfaxe<\/b> (click <a href=\"https:\/\/github.com\/SMTG-UCL\/surfaxe\">here<\/a> to get the source code) is a python package for automating and simplifying density functional theory (DFT) calculations of surface properties, as well as providing analytical tools for bulk and surface calculations. The code makes extensive use of pymatgen surface modules with full functionality retained. Full integration with FireWorks and AiiDA is possible for managing calculations on high-performance clusters. As well as a fully flexible python API, surfaxe has a lightweight command line interface. surfaxe primarily supports VASP, however the slab generation module is code-agnostic. Support for other DFT codes is planned for future releases.<\/p>\n<p>The modularity of surfaxe follows a best-practice workflow for the calculation of surface properties. Generation module contains scripts for automatic cleaving of slabs from the bulk and organising them into a directory structure for convergence testing with respect to slab and vacuum thickness. Convergence and analysis modules allow for analysis of atomic displacements, bond lengths, electrostatic potential and energies of slabs. Data module wraps up final collation of data, with automated extraction of surface energy, vacuum and core energy levels, along with the necessary calculation parameters.<\/p>\n<p><a href=\"https:\/\/davidscanlon.com\/wp-content\/uploads\/2017\/09\/SURFAXE.png\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-1621 aligncenter\" src=\"https:\/\/davidscanlon.com\/wp-content\/uploads\/2017\/09\/SURFAXE-300x263.png\" alt=\"SURFAXE\" width=\"300\" height=\"263\" srcset=\"https:\/\/davidscanlon.com\/wp-content\/uploads\/2017\/09\/SURFAXE-300x263.png 300w, https:\/\/davidscanlon.com\/wp-content\/uploads\/2017\/09\/SURFAXE.png 659w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/p>\n<p>If you do use surfaxe, please cite the following paper in your publication:<br \/>\nK. Brlec, D. W. Davies and D. O. Scanlon, Surfaxe: Systematic surface calculations. Journal of Open Source Software, <b>6<\/b>(61), 3171, (2021) <a href=\"https:\/\/joss.theoj.org\/papers\/10.21105\/joss.03171\">DOI: 10.21105\/joss.03171<\/a><\/p>\n<hr>\n<div class=\"post\">\n<h2 class=\"title\"><a>sumo<\/a><\/h2>\n<\/div>\n<p>Written by <a href=\"https:\/\/utf.github.io\/\">Alex Ganose<\/a> and <a href=\"https:\/\/scholar.google.co.uk\/citations?user=0aWeSroAAAAJ&amp;hl=en\">Dr Adam Jackson<\/a>, <b>sumo<\/b> is a Python package for plotting and analysis of materials chemistry ab initio calculation data. <b>sumo<\/b> (click <a href=\"https:\/\/github.com\/SMTG-UCL\/sumo\">here<\/a> to get the source code) is a set of command-line tools for publication-ready plotting and analysis of ab initio calculation data. The code includes a fully-documented Python module, upon which the command-line scripts are built. <b>sumo<\/b> currently only supports <a href=\"https:\/\/www.vasp.at\/\">VASP<\/a>, however, extending the code to other ab initio calculators is planned for future releases. The code relies on several open-source Python packages for common tasks, including <a href=\"https:\/\/github.com\/materialsproject\/pymatgen\">pymatgen<\/a> for data loading, <a href=\"https:\/\/github.com\/atztogo\/spglib\">spglib<\/a> for symmetry analysis, and <a href=\"https:\/\/matplotlib.org\/\">Matplotlib<\/a> for plotting.<\/p>\n<p>The main plotting functionality of <b>sumo<\/b> includes density of states plots, electronic and phonon band structure diagrams, and optical absorption spectra (as shown in the Figure below). The code has been designed to allow for significant customisation of plots, including the ability to produce projected density of states and orbital resolved band structures. The code additionally supplies a tool for generating k-point paths along high-symmetry directions in the Brillouin zone, with the ability to write the necessary input files required to perform the calculations in VASP. Crucially, this tool allows a single band structure plot to be split into several ab initio calculations, as is essential when dealing with large materials or restrictive batch systems. Lastly, a script is provided to extract information from semiconductor band structures, including direct and indirect band gaps, band edge locations, and parabolic and non-parabolic effective masses.<\/p>\n<p><a href=\"https:\/\/davidscanlon.com\/wp-content\/uploads\/2017\/09\/SUMO1.png\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-888 aligncenter\" src=\"https:\/\/davidscanlon.com\/wp-content\/uploads\/2017\/09\/SUMO1-300x119.png\" alt=\"SUMO\" width=\"300\" height=\"119\" srcset=\"https:\/\/davidscanlon.com\/wp-content\/uploads\/2017\/09\/SUMO1-300x119.png 300w, https:\/\/davidscanlon.com\/wp-content\/uploads\/2017\/09\/SUMO1-1024x408.png 1024w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/p>\n<p>If you do use SUMO, please cite the following paper in your publication:<br \/>\nA.M. Ganose, A. J. Jackson and D. O. Scanlon, sumo: Command-line tools for plotting and analysis of periodic ab initio calculations, Journal of Open Source Software, <b>3<\/b>(28), 717 (2018) <a href=\"http:\/\/joss.theoj.org\/papers\/10.21105\/joss.00717\">DOI: 10.21105\/joss.00717<\/a><\/p>\n<div class=\"post\">\n<h3>Publications using SUMO<\/h3>\n<div class=\"entry\"><\/div>\n<\/div>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"6\">I. W. H. Oswald, E. M. Mozur, I. P. Mosely, H. Ahn and J. R. Neilson, Hybrid Charge-Transfer Semiconductors: (C<sub>7<\/sub>H<sub>7<\/sub>)SbI<sub>4<\/sub>, (C<sub>7<\/sub>H<sub>7<\/sub>)BiI<sub>4<\/sub>, and Their Halide Congeners, <i> Inorganic Chemistry <\/i>, <b>58<\/b>, 5818 (2019) <a href=\"https:\/\/pubs.acs.org\/doi\/full\/10.1021\/acs.inorgchem.9b00170\">doi: 10.1021\/acs.inorgchem.9b00170<\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"5\">D. H. Cao, P. Guo, A Mannodi-Kanakkithodi, G. P. Wierderrecht, D. J. Gosztola, R. D. Schaller, M. K. Y. Chan and A. B. F. Martinson, Charge Transfer Dynamics of Phase-Segregated Halide Perovskites: CH<sub>3<\/sub>NH<sub>3<\/sub>PbCl<sub>3<\/sub> and CH<sub>3<\/sub>NH<sub>3<\/sub>PbI<sub>3<\/sub> or (C<sub>4<\/sub>H<sub>9<\/sub>NH<sub>3<\/sub>)<sub>2<\/sub>(CH<sub>3<\/sub>NH<sub>3<\/sub>)<sub>n\u22121<\/sub>Pb<sub>n<\/sub>I<sub>3n+1<\/sub> Mixtures, <i> ACS Applied Materials &amp; Interfaces<\/i>, <b>11<\/b>, 9583 (2019) <a href=\"https:\/\/pubs.acs.org\/doi\/abs\/10.1021\/acsami.8b20928\">doi: 10.1021\/acsami.8b20928<\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"4\">B. A. D. Williamson, G. J. Limburn, G. W. Watson, G. Hyett, and <span style=\"text-decoration: underline;\"><b>D. O. Scanlon<\/b><\/span>, Computationally Driven Discovery of Layered Quinary Oxychalcogenides: Potential <i>p<\/i>-Type Transparent Conductors?, <i> ? <\/i>, Submitted (2019) <a href=\"https:\/\/chemrxiv.org\/articles\/Computationally_Driven_Discovery_of_Layered_Quinary_Oxychalcogenide_p-Type_Transparent_Conductors\/7078205\">ChemRxiv<\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"3\">Z. Wang, A. M. Ganose, C. Niu, and <span style=\"text-decoration: underline;\"><b>D. O. Scanlon<\/b><\/span>, Two-dimensional hybrid perovskites for tunable energy level alignments and photovoltaics, <i> Journal of Materials Chemistry C<\/i>, <b>7<\/b>, 5139 (2019) <a href=\"https:\/\/pubs.rsc.org\/en\/content\/articlelanding\/2019\/tc\/c9tc01325c#!divAbstract\">doi: 10.1039\/C9TC01325C<\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"2\">J. T. Pegg, A. E. Shields, M. T. Storr, <span style=\"text-decoration: underline;\"><b>D. O. Scanlon<\/b><\/span>, and N. H. de Leeuw, Noncollinear Relativistic DFT+U Calculations of Actinide Dioxide Surfaces, <i> Journal of Physical Chemistry C<\/i>, <b>123<\/b>, 356 (2019) <a href=\"https:\/\/pubs.acs.org\/doi\/10.1021\/acs.jpcc.8b07823\">doi: 10.1021\/acs.jpcc.8b07823<\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"1\">W. W. W. Leung, C. N. Savory, R. G. Palgrave, and <span style=\"text-decoration: underline;\"><b>D. O. Scanlon<\/b><\/span>, An experimental and theoretical study into NaSbS<sub>2<\/sub> as an emerging solar absorber, <i> Journal of Materials Chemistry C<\/i>, <b>7<\/b>, 2059 (2019) <a href=\"https:\/\/pubs.rsc.org\/en\/content\/articlelanding\/2019\/tc\/c8tc06284f#!divAbstract\">doi: 10.1039\/C8TC06284F<\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<hr>\n<div class=\"post\">\n<h2 class=\"title\"><\/h2>\n<h2 class=\"title\"><a>GALORE<\/a><\/h2>\n<\/div>\n<p>Written by <a href=\"https:\/\/scholar.google.co.uk\/citations?user=0aWeSroAAAAJ&amp;hl=en\">Dr Adam Jackson<\/a> and <a href=\"https:\/\/utf.github.io\/\">Alex Ganose<\/a>, <b>GALORE<\/b> simplifies and automates the process of simulating photoelectron spectra from ab initio calculations. This replaces the tedious process of extracting and interpolating crosssectional weights from reference data and generates tabulated data or publication-ready plots as needed. The broadening tools may also be used to obtain realistic simulated spectra from a theoretical set of discrete lines (e.g. infrared or Raman spectroscopy). <b>GALORE<\/b> is a Materials Design aid, as it can quickly convert calculated data to simulated spectra which can be compared easily with experiment.<\/p>\n<p><b>GALORE<\/b> (click <a href=\"https:\/\/github.com\/SMTG-UCL\/galore\">here<\/a> to get the source code) provides a command-line tool and Python API to import data and resample it to a dense, regular X-Y series. This mesh can then be convolved with Gaussian and Lorentzian functions to yield a smooth output, in the form of a plot or data file. <a href=\"http:\/\/www.numpy.org\/\">Numpy<\/a> functions are used for data manipulation and convolution on a finite grid and <a href=\"https:\/\/matplotlib.org\/\">Matplotlib<\/a> is used for plotting. As well as simple tabular data files, the electronic DOS or PDOS may be imported directly from the output of the <a href=\"https:\/\/www.vasp.at\/\">VASP<\/a> or <a href=\"https:\/\/wiki.fysik.dtu.dk\/gpaw\/\">GPAW<\/a> codes. An example of the GALORE proceedure for generating simulated PES spectra is shown in the Figure below.<\/p>\n<p><a href=\"https:\/\/davidscanlon.com\/wp-content\/uploads\/2017\/09\/GALORE11.png\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-891 aligncenter\" src=\"https:\/\/davidscanlon.com\/wp-content\/uploads\/2017\/09\/GALORE11-300x115.png\" alt=\"GALORE1\" width=\"300\" height=\"115\" srcset=\"https:\/\/davidscanlon.com\/wp-content\/uploads\/2017\/09\/GALORE11-300x115.png 300w, https:\/\/davidscanlon.com\/wp-content\/uploads\/2017\/09\/GALORE11-1024x394.png 1024w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/p>\n<p>Cross-sectional weights are included for some standard energy values (He(II) UPS and Al k-alpha) from tabulated ab initio calculations. Users may provide their own weighting values in the same human-readable JSON file format. Higher-energy (HAXPES) spectra may be simulated using cross-sections from fitted data over an energy range 1-1500 keV. Tabulated data was fitted to an order-8 polynomial on a log-log scale, and coefficients for each element and orbital shape are stored in a database file. The fitting error is generally below 1%, with outliers in the region of 2\u20133%, as demonstrated in the Figure below. The order-8 fit was selected based on cross-validation in order to avoid over-fitting<\/p>\n<p><a href=\"https:\/\/davidscanlon.com\/wp-content\/uploads\/2017\/09\/GALORE21.png\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-892 aligncenter\" src=\"https:\/\/davidscanlon.com\/wp-content\/uploads\/2017\/09\/GALORE21-300x144.png\" alt=\"GALORE2\" width=\"300\" height=\"144\" srcset=\"https:\/\/davidscanlon.com\/wp-content\/uploads\/2017\/09\/GALORE21-300x144.png 300w, https:\/\/davidscanlon.com\/wp-content\/uploads\/2017\/09\/GALORE21-1024x494.png 1024w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/p>\n<div class=\"post\">\n<h4 class=\"title\"><a>2020 Update<\/a><\/h4>\n<div class=\"entry\"><\/div>\n<\/div>\n<p>Additional cross-sectional weights across a wider energy range and photoelectron angular distribution parameters (from ADNDT calculations <a title=\"here\" href=\"https:\/\/doi.org\/10.1016\/j.adt.2017.04.003\">here<\/a> and <a title=\"here\" href=\"https:\/\/doi.org\/10.1016\/j.adt.2019.05.001\" target=\"_blank\" rel=\"noopener noreferrer\">here<\/a>) have been mined and digitised by Joe Willis <em>et al.<\/em>, with the original authors&#8217; permission. These data allow for accurate cross sections to be applied to more modern HAXPES energy ranges, which were crucially missing from previous cross section databases. Angular distribution parameters allow the user to investigate the effects of changing the polarisation of light on the outgoing photoelectron, particularly useful for probing metal s states at band edges. Data can be found in consistent Excel formatting, along with digitised versions of the Schofield, Yeh and Lindau datasets on figshare and on Dr. Anna Regoutz&#8217; <a title=\"website\" href=\"https:\/\/a-x-s.org\/research\/cross-sections\/\" target=\"_blank\" rel=\"noopener noreferrer\">website<\/a>. These are currently being implemented into the backend of GALORE.<\/p>\n<p><a title=\"Digitisation of Trzhaskovskaya Dirac-Fock Photoionisation Parameters for HAXPES Applications\" href=\"https:\/\/figshare.com\/articles\/dataset\/Digitisation_of_Trzhaskovskaya_Dirac-Fock_Photoionisation_Parameters_for_HAXPES_Applications\/13292144\/1http:\/\/\" target=\"_blank\" rel=\"noopener noreferrer\">Digitisation of Trzhaskovskaya Dirac-Fock Photoionisation Parameters for HAXPES Applications<\/a><\/p>\n<p><a title=\"Digitisation of Trzhaskovskaya Dirac-Fock Photoionisation Parameters for HAXPES Applications, Part II\" href=\"https:\/\/figshare.com\/articles\/dataset\/Digitisation_of_Trzhaskovskaya_Dirac-Fock_Photoionisation_Parameters_for_HAXPES_Applications_Part_II\/13292174\/1\" target=\"_blank\" rel=\"noopener noreferrer\">Digitisation of Trzhaskovskaya Dirac-Fock Photoionisation Parameters for HAXPES Applications, Part II<\/a><\/p>\n<p>If you do use GALORE, please cite the following paper in your publication:<br \/>\nA. J. Jackson, A. M. Ganose, A. Regoutz, R. G. Egdell and D. O. Scanlon, GALORE: Broadening and weighting for simulation of photoelectron spectroscopy, Journal of Open Source Software, <b>3<\/b>, 773 (2018) <a href=\"http:\/\/joss.theoj.org\/papers\/10.21105\/joss.00773\">DOI: 10.21105\/joss.00773<\/a><\/p>\n<div class=\"post\">\n<h3>Publications using GALORE<\/h3>\n<div class=\"entry\"><\/div>\n<\/div>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"3\">K. T. Butler, G. S. Gautam and P. Canepa, Designing interfaces in energy materials applications with first-principles calculations, <i> npj Computational Materials<\/i>, <b>5<\/b>, 19 (2019) <a href=\"https:\/\/www.nature.com\/articles\/s41524-019-0160-9\">doi: 10.1038\/s41524-019-0160-9<\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"2\">J. J. Bean and K. P. McKenna, Stability of point defects near MgO grain boundaries in FeCoB\/MgO\/FeCoB magnetic tunnel junctions, <i>Physical Review Materials<\/i>, <b>2<\/b>, 125002 (2019) <a href=\"https:\/\/journals.aps.org\/prmaterials\/abstract\/10.1103\/PhysRevMaterials.2.125002\">doi: 10.1103\/PhysRevMaterials.2.125002<\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"1\">A. Regoutz, A. M. Ganose, L. Blumentham, C. Schlueter, T.-L. Lee, G. Kielich, A. K. Cheetham, G. Kerherve, Y.-S. Huang, R.-S. Chen, G. M. Vinai, T. Pincelli, G, Panaccione, K. H. L. Zhang, R. G. Egdell, J. Lischner, <span style=\"text-decoration: underline;\"><b>D. O. Scanlon<\/b><\/span>, and D. J. Payne, Insights into the Electronic Structure of OsO<sub>2<\/sub> using Soft and Hard X-ray Photoelectron Spectroscopy in Combination with Density Functional Theory, <i>Physical Review Materials<\/i>, <b>3<\/b>, 025001 (2019) <a href=\"https:\/\/journals.aps.org\/prmaterials\/abstract\/10.1103\/PhysRevMaterials.3.025001\">doi: 10.1103\/PhysRevMaterials.3.025001<\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<hr>\n<div class=\"post\">\n<h2 class=\"title\"><\/h2>\n<h2 class=\"title\"><a>CPLAP<\/a><\/h2>\n<\/div>\n<p>Written by <a href=\"https:\/\/scholar.google.co.uk\/citations?user=hfyoL4AAAAAJ&amp;hl=en\">Dr John Buckeridge<\/a>, <b>CPLAP<\/b> which stands for the Chemical Potential Limits Analysis Program (click <a href=\"https:\/\/github.com\/jbuckeridge\/cplap\">here<\/a> to get the source code), is a program designed to determine the thermodynamical stability of a material, and, if it is stable, to determine the ranges of the constituent elements&#8217; chemical potentials within which it is stable, in comparison with competing phases and the elemental forms. CPLAP is extremely useful for Materials Design, as you can use it for testing the stability of new materials versus competing phases. It can also be used to set the boundaries of chemical potentials for defect Chemistry\/Physics analysis (see figure below). For a full explanation, read the paper <a href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0010465513002993\">here<\/a>.<\/p>\n<p><a href=\"https:\/\/davidscanlon.com\/wp-content\/uploads\/2017\/09\/Example.png\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-687 aligncenter\" src=\"https:\/\/davidscanlon.com\/wp-content\/uploads\/2017\/09\/Example-300x236.png\" alt=\"Example\" width=\"300\" height=\"236\" srcset=\"https:\/\/davidscanlon.com\/wp-content\/uploads\/2017\/09\/Example-300x236.png 300w, https:\/\/davidscanlon.com\/wp-content\/uploads\/2017\/09\/Example-1024x805.png 1024w, https:\/\/davidscanlon.com\/wp-content\/uploads\/2017\/09\/Example.png 1182w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/p>\n<p>If you do use CPLAP, please cite the following paper in your publication:<br \/>\nJ. Buckeridge, D. O. Scanlon. A. Walsh and C. R. A. Catlow, Automated procedure to determine the thermodynamic stability of a material and the range of chemical potentials necessary for its formation relative to competing phases and compounds, Computer Physics Communications, <b>185<\/b>(1), 330-338 (2014)<\/p>\n<div class=\"post\">\n<h3>Publications using CPLAP<\/h3>\n<div class=\"entry\"><\/div>\n<\/div>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"34\">Q. Chen, R. Zhang, J. Xu, S. Cao, Y. Guo, Y. Li, F. Gao, First-principles calculations of defect formation energy and carrier concentration of Ti<sup>4+<\/sup>, Ta<sup>5+<\/sup> and W<sup>6+<\/sup> doped KSr<sub>2<\/sub>Nb<sub>5<\/sub>O<sub>15<\/sub>, <i>Computational Materials Science<\/i>, Accepted (2018) <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0927025619307268\">doi: 10.1016\/j.commatsci.2019.109427<\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"33\">A. Moradabadi and P. Kaghazchi, Defect chemistry in cubic Li<sub>6.25<\/sub>Al<sub>0.25<\/sub>La<sub>3<\/sub>Zr<sub>2<\/sub>O<sub>12<\/sub> solid electrolyte: A density functional theory study, <i>Solid State Ionics<\/i>, <b>338<\/b>, 74 (2019) <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0167273819301973\">doi: 10.1016\/j.ssi.2019.04.023<\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"32\">J. Buckeridge, Equilibrium point defect and charge carrier concentrations in a material determined through calculation of the self-consistent Fermi energy, <i>Computer Physics Communications<\/i>, <b>244<\/b>, 329 (2019) <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0010465519302048\">doi: 10.1016\/j.cpc.2019.06.017<\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"31\">A. \u017divkovi\u0107, A. Roldan, and N. H. de Leeuw, Tuning the electronic band gap of Cu<sub>2<\/sub>O via transition metal doping for improved photovoltaic applications, <i>Physical Review Materials<\/i>, <b>3<\/b>, 115202 (2019) <a href=\"https:\/\/journals.aps.org\/prmaterials\/abstract\/10.1103\/PhysRevMaterials.3.115202\">doi: 10.1103\/PhysRevMaterials.3.115202<\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"30\">H. Liu, Z. Yang, Q. Wang, X. Wang, and X. Shi, Atomistic insights into the screening and role of oxygen in enhancing the Li+ conductivity of Li<sub>7<\/sub>P<sub>3<\/sub>S<sub>11\u2212x<\/sub>O<sub>x<\/sub> solid-state electrolytes, <i>Physical Chemistry Chemical Physics<\/i>, <b>21<\/b>, 26358 (2019) <a href=\"https:\/\/pubs.rsc.org\/en\/content\/articlehtml\/2019\/cp\/c9cp05329h\">doi: 10.1039\/C9CP05329H<\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"29\">Y.-K. Jung, J. Calbo, J.-S. Park, L. D. Whalley, S. Kim, and A. Walsh, Intrinsic doping limit and defect-assisted luminescence in Cs<sub>4<\/sub>PbBr<sub>6<\/sub>, <i>Journal of Materials Chemistry A<\/i>, <b>7<\/b>, 20254 (2019) <a href=\"https:\/\/pubs.rsc.org\/en\/content\/articlelanding\/2019\/ta\/c9ta06874k\/unauth#!divAbstract\">doi: 10.1039\/C9TA06874K<\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"28\">I. Elias, A. Soon, J. Huang, B. S. Haynes, and A. Montoya, Atomic order, electronic structure and thermodynamic stability of nickel aluminate, <i>Physical Chemistry Chemical Physics<\/i>, <b>21<\/b>, 25952 (2019) <a href=\"https:\/\/pubs.rsc.org\/en\/content\/articlehtml\/2019\/cp\/c9cp04325j\">doi: 10.1039\/C9CP04325J <\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"27\">S. Kim, J.-S. Park, S. N. Hood, and A. Walsh, Lone-pair effect on carrier capture in Cu<sub>2<\/sub>ZnSnS<sub>4<\/sub> solar cells, <i>Journal of Materials Chemistry A<\/i>, <b>7<\/b>, 2686 (2019) <a href=\"https:\/\/pubs.rsc.org\/en\/content\/articlehtml\/2019\/ta\/c8ta10130b\">doi: 10.1039\/C8TA10130B<\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"26\">B. A. D. Williamson, G. J. Limburn, G. W. Watson, G. Hyett, and <span style=\"text-decoration: underline;\"><b>D. O. Scanlon<\/b><\/span>, Computationally Driven Discovery of Layered Quinary Oxychalcogenides: Potential <i>p<\/i>-Type Transparent Conductors?, <i> ? <\/i>, Submitted (2019) <a href=\"https:\/\/chemrxiv.org\/articles\/Computationally_Driven_Discovery_of_Layered_Quinary_Oxychalcogenide_p-Type_Transparent_Conductors\/7078205\">ChemRxiv<\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"25\">J. Buckeridge, T. D. Veal, C. R. A. Catlow, and <span style=\"text-decoration: underline;\"><b>D. O. Scanlon<\/b><\/span>, Intrinsic disorder and the <i>n-<\/i> and <i>-p-<\/i>type dopability of the narrow band gap semiconductors GaSb and InSb, <i> Physical Review B <\/i>, <b>100<\/b>, 035207 (2019) <a href=\"https:\/\/journals.aps.org\/prb\/abstract\/10.1103\/PhysRevB.100.035207\">doi: 10.1103\/PhysRevB.100.035207<\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"24\">J. Buckeridge, C. R. A. Catlow, M. R. Farrow, A. J. Logsdail, <span style=\"text-decoration: underline;\"><b>D. O. Scanlon<\/b><\/span>, T. W. Keal, P. Sherwood, S. M. Woodley, A. A. Sokol, and A. Walsh, The deep vs shallow nature of oxygen vacancies and consequent <i>n<\/i>-type carrier concentrations in transparent conducting oxides, <i> Physical Review Materials <\/i>, <b>2<\/b>, 054604 (2018) <a href=\"https:\/\/journals.aps.org\/prmaterials\/abstract\/10.1103\/PhysRevMaterials.2.054604\">doi: 10.1103\/PhysRevMaterials.2.054604<\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"23\">A. L. Galvin and G. W. Watson, Defects in orthorhombic LaMnO<sub>3<\/sub> \u2013 ionic versus electronic compensation, <i>Physical Chemistry Chemical Physics<\/i>, <b>20<\/b>, 19257 (2018) <a href=\"https:\/\/pubs.rsc.org\/en\/content\/articlelanding\/2018\/cp\/c8cp02763c\/unauth#!divAbstract\">doi: 10.1039\/C8CP02763C<\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"22\">M. Rittiruam, A. Yangthaisong and T. Seetawan, Enhancing the Thermoelectric Performance of Self-Defect TiNiSn: A First-Principles Calculation, <i>Journal of Electronic Materials<\/i>, <b>47<\/b>, 4456 (2018) <a href=\"https:\/\/link.springer.com\/article\/10.1007\/s11664-018-6686-7\">doi: 10.1007\/s11664-018-6686-7<\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"21\">M. Quesada-Gonzalez, B. A. D. Williamson, C. Sotelo-Vasquez, A. Kafizas, N. D. Boscher, R. Quesada-Cabrera, <span style=\"text-decoration: underline;\"><b>D. O. Scanlon<\/b><\/span>, C. J. Carmalt, and I. P. Parkin, A Deeper Understanding of Boron-doped Anatase Thin Films as a Multifunctional Layer through Theory and Experiment, <i> Journal of Physical Chemistry C <\/i>, <b>122<\/b>, 714 (2018) <a href=\"http:\/\/pubs.acs.org\/doi\/abs\/10.1021\/acs.jpcc.7b11142\">doi: 10.1021\/acs.jpcc.7b11142<\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"20\">A. Walsh and A. Zunger, Instilling Defect Tolerance in New Compounds, <i>Nature Materials<\/i>, <b>16<\/b>, 964 (2017) <a href=\"https:\/\/www.nature.com\/nmat\/journal\/vaop\/ncurrent\/full\/nmat4973.html\">doi:10.1038\/nmat4973<\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"19\">A. L. Galvin and G. W. Watson, Modelling Oxygen Defects in Orthorhombic LaMnO<sub>3<\/sub> and its Low Index Surfaces, <i>Physical Chemistry Chemical Physics<\/i>, <b>19<\/b>, 24636 (2017) <a href=\"http:\/\/pubs.rsc.org\/en\/content\/articlelanding\/2017\/cp\/c7cp02905e\/unauth#!divAbstract\">doi:10.1039\/C7CP02905E<\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"18\">Y. G. Yu, X, Zhang and A. Zunger, Natural Off-Stoichiometry Causes Carrier Doping in Half-Heusler Filled Tetrahedral Structures, <i>Physical Review B<\/i>, <b>95<\/b>, 085201 (2017) <a href=\"https:\/\/journals.aps.org\/prb\/abstract\/10.1103\/PhysRevB.95.085201\">doi:10.1103\/PhysRevB.95.085201<\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"17\">C. N. Savory, A. M. Ganose and D. O. Scanlon, Exploring the PbS-Bi<sub>2<\/sub>S<sub>3<\/sub> Series For Next Generation Energy Conversion Materials, <i>Chemistry of Materials<\/i>, <b>29<\/b>, 5156 (2017) <a href=\"http:\/\/pubs.acs.org\/doi\/abs\/10.1021\/acs.chemmater.7b00628\">doi: 10.1021\/acs.chemmater.7b00628 <\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"16\">E. Olsson, X. Aparicio-Angles and N. H. de Leeuw, A Computational Study of the Electronic Properties, Ionic Conduction, and Thermal Expansion of Sm<sub>1\u2212x<\/sub>A<sub>x<\/sub>CoO<sub>3<\/sub> and Sm<sub>1\u2212x<\/sub>A<sub>x<\/sub>CoO<sub>3\u2212(x\/2)<\/sub> (A = Ba<sup>2+<\/sup>, Ca<sup>2+<\/sup>, Sr<sup>2+<\/sup>, and x = 0.25, 0.5) as Intermediate Temperature SOFC Cathodes, <i>Physical Chemistry Chemical Physics<\/i>, <b>19<\/b>, 13960 (2017) <a href=\"http:\/\/pubs.rsc.org\/en\/content\/articlehtml\/2017\/cp\/c7cp01555k\">doi: 10.1039\/C7CP01555K<\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"15\">Z. Xie, Y. Sui, J. Buckeridge, C. R. A. Catlow, T. W. Keal, P. Sherwood, A. Walsh, D. O. Scanlon, S. M. Woodley, and A. A. Sokol, Demonstration of the donor characteristics of Si and O defects in GaN using hybrid QM\/MM, <i>Physica Status Solidi A<\/i>, <b>214<\/b>, 1600440 (2017) <a href=\"http:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/pssa.201600445\/abstract\">doi: 10.1002\/pssa.201600445 <\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"14\">J. Kaczkowski and A. Jezierski, Effect of Chemical and Hydrostatic Pressure on Electronic Structure of BiPd<sub>2<\/sub>O<sub>4<\/sub>: A First-Principles Study, <i>Journal of Alloys and Compounds<\/i>, <b>726<\/b>, 737 (2017) <a href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0925838817327585\">doi: 10.1016\/j.jallcom.2017.08.030 <\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"13\">S. H. Shah and P. D. Bristowe, Point Defect Formation in M<sub>2<\/sub>AlC (M\u2009=\u2009Zr,Cr) MAX Phases and Their Tendency to Disorder and Amorphize, <i>Scientific Reports<\/i>, <b>7<\/b>, 9667 (2017) <a href=\"https:\/\/www.nature.com\/articles\/s41598-017-10273-6\">doi: 10.1038\/s41598-017-10273-6<\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"12\">C. N. Savory, A. Walsh and D. O. Scanlon, Can Pb-free Halide Double Perovskites Support High-efficiency Solar Cells?, <i> ACS Energy Letters <\/i>, <b>1<\/b>, 949 (2016) <a href=\"http:\/\/pubs.acs.org\/doi\/abs\/10.1021\/acsenergylett.6b00471\">doi: 10.1021\/acsenergylett.6b00471 <\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"11\">W. M. Linhart, M. K. Rajpalke, J. Buckeridge, P. A. E. Murgatroyd, J. J. Bomphrey, J. Alaria, C. R. A. Catlow, D. O. Scanlon, M. J. Ashwin and T. D. Veal, Band Gap Reduction in InSb<sub>x<\/sub>N<sub>1-x<\/sub> Alloys: Optical Absorption, k.P Modeling and Density Functional Theory , <i>Applied Physics Letters<\/i>, <b>109<\/b>, 132104 (2016) <a href=\"http:\/\/scitation.aip.org\/content\/aip\/journal\/apl\/109\/13\/10.1063\/1.4963836\">doi: 10.1063\/1.4963836<\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"10\">M. R. Farow, C. R. A. Catlow, A. A Sokol and S. M. Woodley, Double Bubble Secondary Building Units Used as a Structural Motif for Enhanced Electron\u2013hole Separation in Solids, <i>Materials Science in Semiconductor Processing<\/i>, <b>42<\/b>, 147 (2016) <a href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S1369800115301530\">doi: 10.1016\/j.mssp.2015.08.023<\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"9\">E. Olsson, X. Aparicio-Angles and N. H. de Leeuw, Ab Initio Study of Vacancy Formation in Cubic LaMnO<sub>3<\/sub> and SmCoO<sub>3<\/sub> as Cathode Materials in Solid Oxide Fuel Cells, <i>The Journal of Chemical Physics<\/i>, <b>145<\/b>, 014703 (2017) <a href=\"http:\/\/aip.scitation.org\/doi\/abs\/10.1063\/1.4954939\">doi: 10.1063\/1.4954939<\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"8\">F. H. Taylor, J. Buckeridge and C. R. A. Catlow, Defects and Oxide Ion Migration in the Solid Oxide Fuel Cell Cathode Material LaFeO<sub>3<\/sub>, <i>Chemistry of Materials<\/i>, <b>28<\/b>, 8210 (2016) <a href=\"http:\/\/pubs.acs.org\/doi\/abs\/10.1021\/acs.chemmater.6b03048\">doi: 10.1021\/acs.chemmater.6b03048<\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"7\">J. Buckeridge, F. H. Taylor and C. R. A. Catlow, Efficient and Accurate Approach to Modeling the Microstructure and Defect Properties of LaCoO<sub>3<\/sub>, <i>Physical Review B<\/i>, <b>93<\/b>, 155123 (2016) <a href=\"https:\/\/journals.aps.org\/prb\/abstract\/10.1103\/PhysRevB.93.155123\">doi: 10.1103\/PhysRevB.93.155123<\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"6\">J. Buckerdige, D. Jevdokimovs, C. R. A. Catlow and A. A. Sokol, Nonstoichiometry and Weyl Fermionic Behavior in TaAs, <i>Physical Review B<\/i>, <b>94<\/b>, 190101 (2016) <a href=\"https:\/\/journals.aps.org\/prb\/abstract\/10.1103\/PhysRevB.94.180101\">doi: 10.1103\/PhysRevB.94.180101<\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"5\">J. Buckeridge, K. T. Butler, C. R. A. Catlow, A. J. Logsdail, D. O. Scanlon, S. A. Shevlin, A. A. Sokol, S. M. Woodley, and A. Walsh, Polymorph Engineering of TiO<sub>2<\/sub>: Demonstrating How Absolute Reference Potentials are Determined by Local Coordination, <i> Chemistry of Materials<\/i>, <b>27<\/b>, 3844 (2015) <a href=\"http:\/\/pubs.acs.org\/doi\/abs\/10.1021\/acs.chemmater.5b00230\">doi: 10.1021\/acs.chemmater.5b00230<\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"4\">Z.-H. Cai, P. Narang, H. A. Atwater, S. Chen, C.-G. Duan, Z.-Q. Zhu and J.-H. Chu, Cation-Mutation Design of Quaternary Nitride Semiconductors Lattice-Matched to GaN, <i>Chemistry of Materials<\/i>, <b>7757<\/b>, (2015) <a href=\"http:\/\/pubs.acs.org\/doi\/abs\/10.1021\/acs.chemmater.5b03536\">doi: 10.1021\/acs.chemmater.5b03536<\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"3\">R. D. Bayliss, S. N. Cook, D. O. Scanlon, S. Fearn, J. Cabana, C. Greaves, J. A. Kilner and S. J. Skinner, Understanding the Defect Chemistry of Alkali Metal Strontium Silicate Solid Solutions: Insights from Experiment and Theory, <i>Journal of Materials Chemistry A<\/i>, <b>2<\/b>, 17919 (2014) <a href=\"http:\/\/pubs.rsc.org\/en\/content\/articlelanding\/2014\/ta\/c4ta04299a#!divAbstract\">doi: 10.1039\/c4ta04299a<\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"2\">D. O. Scanlon, J. Buckeridge, C. R. A. Catlow, G. W. Watson, Understanding doping anomalies in degenerate p-type semiconductor LaCuOSe, <i>Journal of Materials Chemistry C<\/i>, <b>2<\/b>, 3429 (2014) <a href=\"http:\/\/pubs.rsc.org\/en\/content\/articlelanding\/2014\/tc\/c4tc00096j#%21divAbstract\">doi: 10.1039\/c4tc00096j<\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li value=\"1\">C. Wang, S. Chen, J.-H. Yang, L. Liang, H.-J. Xiang, X.-G. Gong, A. Walsh and S.-H. Wei, Design of I<sub>2<\/sub>\u2013II\u2013IV\u2013VI<sub>4<\/sub> Semiconductors through Element Substitution: The Thermodynamic Stability Limit and Chemical Trend, <i>Chemistry of Materials<\/i>, <b>26<\/b>, 3411 (2014) <a href=\"http:\/\/pubs.acs.org\/doi\/abs\/10.1021\/cm500598x\">doi: 10.1021\/cm500598x<\/a><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>doped Written by Se\u00e1n Kavanagh, along with contributions from group members (and alumni) Alex Squires, Adair Nicolson, Irea Mosquera-Lois, Alex Ganose, and Bonan Zhu, doped is a Python package for managing solid-state defect calculations, with functionality to generate defect structures and relevant competing phases (for chemical potentials), interface with ShakeNBreak for defect structure-searching (see below), &hellip; <a href=\"https:\/\/davidscanlon.com\/?page_id=674\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">Software<\/span> <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":708,"parent":0,"menu_order":5,"comment_status":"closed","ping_status":"open","template":"","meta":{"footnotes":""},"class_list":["post-674","page","type-page","status-publish","has-post-thumbnail","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Software - Scanlon Materials Theory Group - Computationally Driven Materials Design<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/davidscanlon.com\/?page_id=674\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Software - Scanlon Materials Theory Group - Computationally Driven Materials Design\" \/>\n<meta property=\"og:description\" content=\"doped Written by Se\u00e1n Kavanagh, along with contributions from group members (and alumni) Alex Squires, Adair Nicolson, Irea Mosquera-Lois, Alex Ganose, and Bonan Zhu, doped is a Python package for managing solid-state defect calculations, with functionality to generate defect structures and relevant competing phases (for chemical potentials), interface with ShakeNBreak for defect structure-searching (see below), &hellip; 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