MPInterfaces: A Materials Project based Python tool for high-throughput computational screening of interfacial systems
K.J. Mathew
1, 2
,
Arunima K. Singh
3
,
Joshua J Gabriel
2
,
Kamal Choudhary
2
,
Susan B. Sinnott
4
,
Albert Davydov
3
,
Francesca Tavazza
3
,
Publication type: Journal Article
Publication date: 2016-09-01
scimago Q1
wos Q2
SJR: 0.782
CiteScore: 6.6
Impact factor: 3.3
ISSN: 09270256, 18790801
General Chemistry
General Physics and Astronomy
General Materials Science
Mechanics of Materials
Computational Mathematics
General Computer Science
Abstract
A Materials Project based open-source Python tool, MPInterfaces, has been developed to automate the high-throughput computational screening and study of interfacial systems. The framework encompasses creation and manipulation of interface structures for solid/solid hetero-structures, solid/implicit solvents systems, nanoparticle/ligands systems; and the creation of simple system-agnostic workflows for in depth computational analysis using density-functional theory or empirical energy models. The package leverages existing open-source high-throughput tools and extends their capabilities towards the understanding of interfacial systems. We describe the various algorithms and methods implemented in the package. Using several test cases, we demonstrate how the package enables high-throughput computational screening of advanced materials, directly contributing to the Materials Genome Initiative (MGI), which aims to accelerate the discovery, development, and deployment of new materials.
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110
Total citations:
110
Citations from 2024:
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(17.43%)
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Mathew K. et al. MPInterfaces: A Materials Project based Python tool for high-throughput computational screening of interfacial systems // Computational Materials Science. 2016. Vol. 122. pp. 183-190.
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Mathew K., Singh A. K., Gabriel J. J., Choudhary K., Sinnott S. B., Davydov A., Tavazza F., Hennig R. MPInterfaces: A Materials Project based Python tool for high-throughput computational screening of interfacial systems // Computational Materials Science. 2016. Vol. 122. pp. 183-190.
Cite this
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TY - JOUR
DO - 10.1016/j.commatsci.2016.05.020
UR - https://doi.org/10.1016/j.commatsci.2016.05.020
TI - MPInterfaces: A Materials Project based Python tool for high-throughput computational screening of interfacial systems
T2 - Computational Materials Science
AU - Mathew, K.J.
AU - Singh, Arunima K.
AU - Gabriel, Joshua J
AU - Choudhary, Kamal
AU - Sinnott, Susan B.
AU - Davydov, Albert
AU - Tavazza, Francesca
AU - Hennig, Richard
PY - 2016
DA - 2016/09/01
PB - Elsevier
SP - 183-190
VL - 122
SN - 0927-0256
SN - 1879-0801
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2016_Mathew,
author = {K.J. Mathew and Arunima K. Singh and Joshua J Gabriel and Kamal Choudhary and Susan B. Sinnott and Albert Davydov and Francesca Tavazza and Richard Hennig},
title = {MPInterfaces: A Materials Project based Python tool for high-throughput computational screening of interfacial systems},
journal = {Computational Materials Science},
year = {2016},
volume = {122},
publisher = {Elsevier},
month = {sep},
url = {https://doi.org/10.1016/j.commatsci.2016.05.020},
pages = {183--190},
doi = {10.1016/j.commatsci.2016.05.020}
}