◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

I. Poltavsky

17 papers hereh-index 174.1k citations43 works total

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

author position
  • first author1
  • middle author15

Across the 16 of 17 papers where every author was matched, so the position is known.

fields
  • physics.chem-ph11
  • cond-mat.mtrl-sci3
  • cond-mat.str-el1
  • physics.comp-ph1
  • physics.soc-ph1

identity via Semantic Scholar / OpenAlex

activity
20072026
most citedMachine Learning Force Fields

1.6k citations · 4k across the 16 of their papers we have counts for

collaborators
Showing 2022Show all

1 paper · 1 filter

physics.chem-ph2022★ 41 cited

Towards Linearly Scaling and Chemically Accurate Global Machine Learning Force Fields for Large Molecules

Adil Kabylda, Valentin Vassilev-Galindo, Stefan Chmiela +2

Machine learning force fields (MLFFs) are gradually evolving towards enabling molecular dynamics simulations of molecules and materials with ab initio accuracy but at a small fract…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.