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Raimondas Galvelis

7 papers hereh-index 192.6k citations36 works total

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

author position
  • first author2
  • middle author5

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • physics.chem-ph4
  • cs.LG2
  • q-bio.BM1

identity via Semantic Scholar / OpenAlex

activity
20192024
most citedTorchMD-Net 2.0: Fast Neural Network Potentials for Molecular Simulations

58 citations · 95 across the 7 of their papers we have counts for

collaborators
Showing 2019Show all

1 paper · 1 filter

physics.chem-ph2019★ 1 cited

A Scalable Molecular Force Field Parameterization Method Based on Density Functional Theory and Quantum-Level Machine Learning

Raimondas Galvelis, Stefan Doerr, Joao M. Damas +2

Fast and accurate molecular force field (FF) parameterization is still an unsolved problem. Accurate FFs are not generally available for all molecules, like novel druglike molecule…

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