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Federico Errica — most-cited papers & profile · AI for Science
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·
overview
Federico Errica
4
papers ·
7
citations ·
10
h-index
NEC (Japan)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Uncertainty-biased molecular dynamics for learning uniformly accurate interatomic potentials
2023 · 4 citations
Accelerating the identification of informative reduced representations of proteins with deep learning for graphs
2020
Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing
2024
Top co-authors
Francesco Alesiani
· 2
Henrik Christiansen
· 2
Makoto Takamoto
· 2
Viktor Zaverkin
· 2
Alessio Micheli
· 1
and Johannes K\"astner
· 1
and Mathias Niepert
· 1
Davide Bacciu
· 1
David Holzm\"uller
· 1
Marco Giulini
· 1
Mathias Niepert
· 1
Nicolas Weber
· 1
Topics
Chemistry
Materials
Protein Science
Physics ML