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researcher

Oliver T. Unke

28 papers hereh-index 215.1k citations52 works total

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

author position
  • first author8
  • middle author17
  • last author2

Across the 27 of 28 papers where every author was matched, so the position is known.

fields
  • physics.chem-ph16
  • cs.LG10
  • cond-mat.mtrl-sci2

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedMachine Learning Force Fields

1.6k citations · 3.6k across the 26 of their papers we have counts for

collaborators
Showing 2023Show all

1 paper · 1 filter

physics.chem-ph2023★ 1 cited

From Peptides to Nanostructures: A Euclidean Transformer for Fast and Stable Machine Learned Force Fields

J. Thorben Frank, Oliver T. Unke, Klaus-Robert Müller +1

Recent years have seen vast progress in the development of machine learned force fields (MLFFs) based on ab-initio reference calculations. Despite achieving low test errors, the re…

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