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researcher

Valentín Vassilev-Galindo

1 paper here

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author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • physics.chem-ph1
ORCID 0000-0001-7532-3590

identity via Semantic Scholar / OpenAlex

most citedAccurate global machine learning force fields for molecules with hundreds of atoms

9 citations · 9 across the 1 of their papers we have counts for

collaborators

1 paper

physics.chem-ph2022★ 9 cited

Accurate global machine learning force fields for molecules with hundreds of atoms

Stefan Chmiela, Valentin Vassilev-Galindo, Oliver T. Unke +4

Global machine learning force fields (MLFFs), that have the capacity to capture collective many-atom interactions in molecular systems, currently only scale up to a few dozen atoms…

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