缺陷形成能
手动缺陷计算
程序缺陷计算
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DASP
Huang M, Zheng Z, Dai Z, et al. DASP: Defect and dopant ab-initio simulation package[J]. Journal of Semiconductors, 2022, 43(4): 042101. 被引41
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Spinney
Cullen G, Koch-Janusz M, Reiter T. Spinney: a form library for helicity spinors[J]. Computer Physics Communications, 2011, 182(11): 2368-2387. 被引114
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PyCDT
Broberg D, Medasani B, Zimmermann N E R, et al. PyCDT: A Python toolkit for modeling point defects in semiconductors and insulators[J]. Computer Physics Communications, 2018, 226: 165-179. 被引195
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pydefect
Kumagai Y, Tsunoda N, Takahashi A, et al. Insights into oxygen vacancies from high-throughput first-principles calculations[J]. Physical Review Materials, 2021, 5(12): 123803. 被引38
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CoFFEE
Naik M H, Jain M. CoFFEE: corrections for formation energy and eigenvalues for charged defect simulations[J]. Computer Physics Communications, 2018, 226: 114-126. 被引66
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pylada-defects
Goyal A, Gorai P, Peng H, et al. A computational framework for automation of point defect calculations[J]. Computational Materials Science, 2017, 130: 1-9. 被引191
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PyDEF
Stoliaroff A, Jobic S, Latouche C. PyDEF 2.0: an easy to use post‐treatment software for publishable charts featuring a graphical user interface[J]. Journal of Computational Chemistry, 2018, 39(26): 2251-2261. 被引36
Péan E, Vidal J, Jobic S, et al. Presentation of the PyDEF post-treatment Python software to compute publishable charts for defect energy formation[J]. Chemical Physics Letters, 2017, 671: 124-130. 被引46
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PyDII
Ding H, Medasani B, Chen W, et al. PyDII: a python framework for computing equilibrium intrinsic point defect concentrations and extrinsic solute site preferences in intermetallic compounds[J]. Computer Physics Communications, 2015, 193: 118-123. 被引26
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DOPED
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
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qdef2d
Framework for first-principles calculations of charged dopants and defects in 2D materials
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AiiDA-defects
Muy S, Johnston C, Marzari N. AiiDA-defects: An automated and fully reproducible workflow for the complete characterization of defect chemistry in functional materials[J]. Electronic Structure, 2023, 5(2): 024009. 被引7
其他相关程序
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DefAP
Neilson W D, Murphy S T. DefAP: A Python code for the analysis of point defects in crystalline solids[J]. Computational Materials Science, 2022, 210: 111434. 被引8
bzip2 -d sxdefectalign.bz2 && chmod +x sxdefectalign && ./sxdefectalign XXX