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researcher

Ashley S Williams

5 papers hereh-index 5134 citations10 works total

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

author position
  • first author3
  • middle author2

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

fields
  • cond-mat.mtrl-sci5

identity via Semantic Scholar / OpenAlex

activity
20172024
most citedMachine Learning Interatomic Potential for Simulations of Carbon at Extreme Conditions

66 citations · 66 across the 5 of their papers we have counts for

collaborators
Showing 2022Show all

2 papers · 1 filter

cond-mat.mtrl-sci2022

Metastable Carbon at Extreme Conditions

Ashley S. Williams, Kien Nguyen-Cong, Jonathan T. Willman +1

Carbon at extreme conditions is the focus of intensive scientific inquiry due to its importance for applications in inertial confinement fusion experiments and for understanding th…

cond-mat.mtrl-sci2022★ 66 cited

Machine Learning Interatomic Potential for Simulations of Carbon at Extreme Conditions

Jonathan T. Willman, Kien Nguyen-Cong, Ashley S. Williams +5

A Spectral Neighbor Analysis (SNAP) machine learning interatomic potential (MLIP) has been developed for simulations of carbon at extreme pressures (up to 5 TPa) and temperatures (…

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