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Mikołaj J Gawkowski

3 papers hereh-index 216 citations3 works total

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

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • physics.chem-ph2
  • cond-mat.mtrl-sci1

identity via Semantic Scholar / OpenAlex

most citedMACE-POLAR-1: A Polarisable Electrostatic Foundation Model for Molecular Chemistry

6 citations · 6 across the 3 of their papers we have counts for

collaborators
Showing cond-mat.mtrl-sciShow all

1 paper · 1 filter

cond-mat.mtrl-sci2026

Dyna-Mat: End-to-end benchmarking of foundation machine learning interatomic potentials in finite-temperature ensembles

Mikołaj J. Gawkowski, Nongnuch Artrith, Silvia Bonfanti +14

Foundation machine learning interatomic potentials (MLIPs) are increasingly being used as drop-in replacements for first-principles calculations, enabling simulations of materials…

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