◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

J. D. Morrow

7 papers hereh-index 7228 citations10 works total

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

author position
  • first author3
  • middle author4

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • physics.chem-ph4
  • cond-mat.mtrl-sci2
  • physics.comp-ph1

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedHow to validate machine-learned interatomic potentials

129 citations · 188 across the 7 of their papers we have counts for

collaborators
Showing 2021Show all

1 paper · 1 filter

cond-mat.mtrl-sci2021★ 24 cited

Indirect Learning of Interatomic Potentials for Accelerated Materials Simulations

Joe D. Morrow, Volker L. Deringer

Machine learning (ML) based interatomic potentials are emerging tools for materials simulations but require a trade-off between accuracy and speed. Here we show how one can use one…

◍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.