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20212024
most citedInteratomic machine learning potentials for aluminium: application to solidification phenomena

1 citations · 2 across the 7 of their papers we have counts for

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cond-mat.dis-nn2021

Unsupervised topological learning approach of crystal nucleation

Sébastien Becker, Emilie Devijver, Rémi Molinier +1

Nucleation phenomena commonly observed in our every day life are of fundamental, technological and societal importance in many areas, but some of their most intimate mechanisms rem…

cond-mat.dis-nn2021★ 1 cited

Unsupervised topological learning for identification of atomic structures

Sébastien Becker, Emilie Devijver, Rémi Molinier +1

We propose an unsupervised learning methodology with descriptors based on Topological Data Analysis (TDA) concepts to describe the local structural properties of materials at the a…