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Paris — most-cited papers & profile · AI for Science
← authors
·
overview
Paris
3
papers ·
29
citations
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Most-cited papers
ArcaNN: automated enhanced sampling generation of training sets for chemically reactive machine learning interatomic potentials
2024 · 29 citations
Constructing and explaining machine learning models for chemistry: example of the exploration and design of boron-based Lewis acids
2025
Top co-authors
CNRS
· 2
D\'epartement de Chimie
· 2
\'Ecole Normale Sup\'erieure
· 2
Axel Gomez (1
· 1
Damien Laage (1) ((1) PASTEUR
· 1
France
· 1
Guillaume Stirnemann (1
· 1
Juliette Fenogli
· 1
Laurence Grimaud
· 1
Miguel de la Puente (1
· 1
Olaia Anton (1
· 1
Rodolphe Vuilleumier (CPCV
· 1
Topics
Chemistry
Materials
Drug Discovery
Physics ML