Matador: a Python library for analysing, curating and performing high-throughput density-functional theory calculations

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	2563
Journal	The Journal of Open Source Software
Volume	5
Issue number	54
DOIs	https://doi.org/10.21105/joss.02563
Publication status	E-pub ahead of print - 27 Oct 2020

Access to Document

@article{aac4ee7e9c3d4fa8acdf3f82b864bd80,

title = "Matador: a Python library for analysing, curating and performing high-throughput density-functional theory calculations",

author = "Andrew Morris and Evans, \{Matthew L.\}",

year = "2020",

month = oct,

day = "27",

doi = "10.21105/joss.02563",

language = "English",

volume = "5",

journal = "The Journal of Open Source Software",

issn = "2475-9066",

publisher = "Open Journals",

number = "54",

}

TY - JOUR

T1 - Matador

T2 - a Python library for analysing, curating and performing high-throughput density-functional theory calculations

AU - Morris, Andrew

AU - Evans, Matthew L.

PY - 2020/10/27

Y1 - 2020/10/27

U2 - 10.21105/joss.02563

DO - 10.21105/joss.02563

M3 - Article

SN - 2475-9066

VL - 5

JO - The Journal of Open Source Software

JF - The Journal of Open Source Software

IS - 54

M1 - 2563

ER -