DOI: 10.1016/j.cpc.2016.05.010. Amp: A modular approach to machine learning in atomistic simulations

Amp: A modular approach to machine learning in atomistic simulations

10.1016/j.cpc.2016.05.010

Crossref journal-article

Elsevier BV

Computer Physics Communications (78)

Bibliography

Khorshidi, A., & Peterson, A. A. (2016). Amp: A modular approach to machine learning in atomistic simulations. Computer Physics Communications, 207, 310â324.

Authors 2

Alireza Khorshidi (first)
Andrew A. Peterson (additional)

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Dates

Type	When
Created	9 years, 3 months ago (June 2, 2016, 6:55 p.m.)
Deposited	4 years, 4 months ago (April 3, 2021, 4:17 a.m.)
Indexed	2 days, 15 hours ago (Aug. 31, 2025, 6:35 a.m.)
Issued	8 years, 11 months ago (Oct. 1, 2016)
Published	8 years, 11 months ago (Oct. 1, 2016)
Published Print	8 years, 11 months ago (Oct. 1, 2016)

Funders 1

ONR Award
Awards1
1. N000014-15-1-2223

BibTeX

@article{Khorshidi_2016, title={Amp: A modular approach to machine learning in atomistic simulations}, volume={207}, ISSN={0010-4655}, url={http://dx.doi.org/10.1016/j.cpc.2016.05.010}, DOI={10.1016/j.cpc.2016.05.010}, journal={Computer Physics Communications}, publisher={Elsevier BV}, author={Khorshidi, Alireza and Peterson, Andrew A.}, year={2016}, month=oct, pages={310–324} }

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