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P. Gkeka

2 papers hereh-index 171.5k citations39 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • physics.bio-ph1
  • physics.comp-ph1

identity via Semantic Scholar / OpenAlex

most citedMachine learning force fields and coarse-grained variables in molecular dynamics: application to materials and biological systems

230 citations · 230 across the 1 of their papers we have counts for

collaborators

2 papers

physics.bio-ph2021

Chasing Collective Variables using Autoencoders and biased trajectories

Zineb Belkacemi, Paraskevi Gkeka, Tony Lelièvre +1

Free energy biasing methods have proven to be powerful tools to accelerate the simulation of important conformational changes of molecules by modifying the sampling measure. Howeve…

physics.comp-ph2020★ 230 cited

Machine learning force fields and coarse-grained variables in molecular dynamics: application to materials and biological systems

Paraskevi Gkeka, Gabriel Stoltz, Amir Barati Farimani +14

Machine learning encompasses a set of tools and algorithms which are now becoming popular in almost all scientific and technological fields. This is true for molecular dynamics as…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.