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Guest Editorial: Special Topic on Software for Atomistic Machine Learning

Authors :
Rupp, Matthias
Küçükbenli, Emine
Csányi, Gábor
Source :
The Journal of Chemical Physics 161(6): 060401, 2024
Publication Year :
2024

Abstract

A survey of the contributions to the Journal of Chemical Physics' Special Topic on Software for Atomistic Machine Learning.

Subjects

Subjects :
Physics - Chemical Physics

Details

Database :
arXiv
Journal :
The Journal of Chemical Physics 161(6): 060401, 2024
Publication Type :
Report
Accession number :
edsarx.2406.19750
Document Type :
Working Paper
Full Text :
https://doi.org/10.1063/5.0228461