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Paraskevi Gkeka — most-cited papers & profile · AI for Science
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overview
Paraskevi Gkeka
2
papers ·
242
citations
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Machine learning force fields and coarse-grained variables in molecular dynamics: application to materials and biological systems
2020 · 230 citations
Autoencoders for dimensionality reduction in molecular dynamics: collective variable dimension, biasing and transition states
2023 · 12 citations
Top co-authors
Gabriel Stoltz
· 2
Aaron R. Dinner
· 1
Alexandre Tkatchenko
· 1
Amir Barati Farimani
· 1
Ana Silveira
· 1
Andrew Ferguson
· 1
and Tony Leli\'evre
· 1
Christine Peter
· 1
Fabio Pietrucci
· 1
Herv\'e Minoux
· 1
Hervé Minoux
· 1
Jean-Bernard Maillet
· 1
Topics
Physics ML
Chemistry
Materials
Protein Science