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J. Chapman

5 papers hereh-index 9887 citations22 works total

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

author position
  • first author1
  • middle author4

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cond-mat.mtrl-sci4
  • cs.LG1
same name
  • J. Chapman — 96 papers, h 15
  • J. Chapman — 71 papers, h 39
  • J. Chapman — 58 papers
  • J. Chapman — 41 papers
  • J. Chapman — 38 papers, h 97
  • J. Chapman — 37 papers, h 67

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
20162022
most citedEfficient, Interpretable Graph Neural Network Representation for Angle-dependent Properties and its Application to Optical Spectroscopy

5 citations · 10 across the 5 of their papers we have counts for

collaborators
Showing 2016Show all

2 papers · 1 filter

cond-mat.mtrl-sci2016★ 1 cited

Machine learning force fields: Construction, validation, and outlook

Venkatesh Botu, Rohit Batra, James Chapman +1

Force fields developed with machine learning methods in tandem with quantum mechanics are beginning to find merit, given their (i) low cost, (ii) accuracy, and (iii) versatility. R…

cond-mat.mtrl-sci2016★ 2 cited

A study of adatom ripening on an Al (111) surface with machine learning force fields

Venkatesh Botu, James Chapman, Rampi Ramprasad

Surface phenomena are increasingly becoming important in exploring nanoscale materials growth and characterization. Consequently, the need for atomistic based simulations is increa…

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