matscipy : materials science at the atomic scale with Python

Grigorev, Petr, Frérot, Lucas, Birks, Fraser, Gola, Adrien, Golebiowski, Jacek, Grießer, Jan, Hörmann, Johannes L., Klemenz, Andreas, Moras, Gianpietro, Nöhring, Wolfram G. et al.
(2024) matscipy : materials science at the atomic scale with Python. Journal of Open Source Software, 9 (93). 5668. doi:10.21105/joss.05668 ISSN 2475-9066.

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Abstract

Behaviour of materials is governed by physical phenomena that occur at an extreme range of length and time scales. Computational modelling requires multiscale approaches. Simulation techniques operating on the atomic scale serve as a foundation for such approaches, providing necessary parameters for upper-scale models. The physical models employed for atomic simulations can vary from electronic structure calculations to empirical force fields. However, construction, manipulation and analysis of atomic systems are independent of the given physical model but dependent on the specific application. matscipy implements such tools for applications in materials science, including fracture, plasticity, tribology and electrochemistry.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Q Science > QC Physics
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
Library of Congress Subject Headings (LCSH): Materials science, Python (Computer program language), Materials science -- Simulation methods, Atoms
Journal or Publication Title: Journal of Open Source Software
Publisher: The Open Journal
ISSN: 2475-9066
Official Date: 28 January 2024
Dates:
Date
Event
28 January 2024
Published
28 January 2024
Accepted
10 July 2023
Submitted
Volume: 9
Number: 93
Article Number: 5668
DOI: 10.21105/joss.05668
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access (Creative Commons open licence)
Date of first compliant deposit: 30 January 2024
Date of first compliant Open Access: 31 January 2024
RIOXX Funder/Project Grant:
Project/Grant ID
RIOXX Funder Name
Funder ID
258153560
[DFG] Deutsche Forschungsgemeinschaft
390951807
[DFG] Deutsche Forschungsgemeinschaft
461911253
[DFG] Deutsche Forschungsgemeinschaft
StG 757343
European Research Council
951786 (NOMAD)
European Commission
900018 (ENTENTE)
European Commission
EP/P002188/1
[EPSRC] Engineering and Physical Sciences Research Council
EP/R012474/1
[EPSRC] Engineering and Physical Sciences Research Council
EP/R043612/1
[EPSRC] Engineering and Physical Sciences Research Council
EP/S022848/1
[EPSRC] Engineering and Physical Sciences Research Council
RPG-2017-191
Leverhulme Trust
URI: https://wrap.warwick.ac.uk/182992/

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