◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Gregor Doehner

1 paper hereh-index 234 citations3 works total

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

author position
  • middle author1

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

fields
  • physics.chem-ph1

identity via Semantic Scholar / OpenAlex

most citedScalable Bayesian Uncertainty Quantification for Neural Network Potentials: Promise and Pitfalls

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

collaborators

1 paper

physics.chem-ph2022★ 1 cited

Scalable Bayesian Uncertainty Quantification for Neural Network Potentials: Promise and Pitfalls

Stephan Thaler, Gregor Doehner, Julija Zavadlav

Neural network (NN) potentials promise highly accurate molecular dynamics (MD) simulations within the computational complexity of classical MD force fields. However, when applied o…

◍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.