FitSNAP: Atomistic machine learning with LAMMPS

Python Cython C Jupyter Notebook Submitted 02 December 2022Published 06 April 2023
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Authors

A. Rohskopf (0000-0002-2712-8296), C. Sievers, N. Lubbers (0000-0002-9001-9973), M.a. Cusentino (0000-0001-9505-6442), J. Goff (0000-0001-7026-7200), J. Janssen (0000-0001-9948-7119), M. McCarthy (0000-0003-4388-4953), D. Montes Oca de Zapiain (0000-0001-7890-0859), S. Nikolov (0000-0002-2907-6629), K. Sargsyan (0000-0002-1037-786X), D. Sema (0000-0002-0160-1743), E. Sikorski (0000-0003-3292-6564), L. Williams (0000-0002-9062-8293), A.p. Thompson (0000-0002-0324-9114), M.a. Wood (0000-0001-5878-4096)

Citation

Rohskopf et al., (2023). FitSNAP: Atomistic machine learning with LAMMPS. Journal of Open Source Software, 8(84), 5118, https://doi.org/10.21105/joss.05118

@article{Rohskopf2023, doi = {10.21105/joss.05118}, url = {https://doi.org/10.21105/joss.05118}, year = {2023}, publisher = {The Open Journal}, volume = {8}, number = {84}, pages = {5118}, author = {A. Rohskopf and C. Sievers and N. Lubbers and M.a. Cusentino and J. Goff and J. Janssen and M. McCarthy and D. Montes Oca de Zapiain and S. Nikolov and K. Sargsyan and D. Sema and E. Sikorski and L. Williams and A.p. Thompson and M.a. Wood}, title = {FitSNAP: Atomistic machine learning with LAMMPS}, journal = {Journal of Open Source Software} }
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ISSN 2475-9066