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CNRS — most-cited papers & profile · AI for Science
← authors
·
overview
CNRS
25
papers ·
114
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
Characterization of Excited States in Time-Dependent Density Functional Theory Using Localized Molecular Orbitals
2022 · 1 citations
Atomic-Scale Origins of Oxidation Resistance in Amorphous Boron Nitride
2025
Constructing and explaining machine learning models for chemistry: example of the exploration and design of boron-based Lewis acids
2025
Top co-authors
France
· 3
D\'epartement de Chimie
· 2
\'Ecole Normale Sup\'erieure
· 2
Paris
· 2
Amsterdam
· 1
and 3
· 1
Australia
· 1
Axel Gomez (1
· 1
Barcelona
· 1
Bruno Senjean (2) and Lucas Visscher (1) ((1) Division of Theoretical Chemistry
· 1
Canberra
· 1
Catherine Journet (5
· 1
Topics
Chemistry
Materials
Physics ML
Drug Discovery