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K. Nomura

18 papers hereh-index 292.4k citations142 works total

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

author position
  • first author3
  • middle author12
  • last author3

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • physics.chem-ph4
  • cond-mat.mtrl-sci3
  • physics.comp-ph3
  • cs.LG2
  • cs.CE1
  • cs.DC1
same name
  • K. Nomura — 97 papers, h 26
  • K. Nomura — 40 papers, h 16
  • K. Nomura — 38 papers, h 23
  • K. Nomura — 25 papers, h 19
  • K. Nomura — 15 papers, h 5
  • K. Nomura — 14 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20102026
most citedEZFF: Python Library for Multi-Objective Parameterization and Uncertainty Quantification of Interatomic Forcefields for Molecular Dynamics

10 citations · 30 across the 18 of their papers we have counts for

collaborators
Showing 2025Show all

3 papers · 1 filter

physics.comp-ph2025

Multiscale light-matter dynamics in quantum materials: from electrons to topological superlattices

Taufeq Mohammed Razakh, Thomas Linker, Ye Luo +12

Light-matter dynamics in topological quantum materials enables ultralow-power, ultrafast devices. A challenge is simulating multiple field and particle equations for light, electro…

cond-mat.mtrl-sci2025

Beyond Scaling: Chemical Intuition as Emergent Ability of Universal Machine Learning Interatomic Potentials

Shinnosuke Hattori, Kohei Shimamura, Aiichiro Nakano +3

Machine Learning Interatomic Potentials (MLIPs) have successfully demonstrated scaling behavior, i.e. the power-law improvement in training performance, however the emergence of no…

cond-mat.mtrl-sci2025

Allegro-FM: Towards Equivariant Foundation Model for Exascale Molecular Dynamics Simulations

Ken-ichi Nomura, Shinnosuke Hattori, Satoshi Ohmura +6

We present a foundation model for exascale molecular dynamics simulations by leveraging an E(3) equivariant network architecture (Allegro) and a set of large-scale organic and inor…

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