Model driver for polynomial machine learning potentials (PolyMLP) ported from pypolymlp v000

Open Knowledgebase of Interatomic Models (OpenKIM) 2026 Open access

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Authors: Atsuto Seko
DOI: 10.25950/948ad72c
Cited by: 0

Abstract

Model driver that supports calculations using polynomial machine learning potentials including hybrid types.

Fields of Study & Subjects

Machine Learning in Materials Science Advanced Chemical Physics Studies Model Reduction and Neural Networks

Publication details

Journal / source
Open Knowledgebase of Interatomic Models (OpenKIM)
Publication date
1 January 2026
Language
EN