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Guillem Simeon — most-cited papers & profile · AI for Science
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Guillem Simeon
3
papers ·
25
citations
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
TensorNet: Cartesian Tensor Representations for Efficient Learning of Molecular Potentials
2023 · 18 citations
AMARO: All Heavy-Atom Transferable Neural Network Potentials of Protein Thermodynamics
2024 · 7 citations
Broadening the Scope of Neural Network Potentials through Direct Inclusion of Additional Molecular Attributes
2024
Top co-authors
Gianni De Fabritiis
· 3
Antonio Mirarchi
· 2
Raul P. Pelaez
· 2
Raimondas Galvelis
· 1
Topics
Chemistry
Materials
Physics ML
Protein Science