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researcher

D. Spearot

3 papers here

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cond-mat.mtrl-sci2
  • cond-mat.mes-hall1

identity via Semantic Scholar / OpenAlex

most citedValidation Workflow for Machine Learning Interatomic Potentials for Complex Ceramics

13 citations · 13 across the 3 of their papers we have counts for

collaborators

3 papers

cond-mat.mtrl-sci2026

Reproducible capillary fluctuation analysis of solid-liquid interfaces for stiffness and anisotropy calculations

Kai Liu, Douglas E. Spearot, Damien Tourret

The capillary fluctuation method (CFM) is widely used to compute solid--liquid interfacial properties from atomistic simulations, but its accuracy depends on choices in interface c…

cond-mat.mtrl-sci2024★ 13 cited

Validation Workflow for Machine Learning Interatomic Potentials for Complex Ceramics

Kimia Ghaffari, Salil Bavdekar, Douglas E. Spearot +1

The number of published Machine Learning Interatomic Potentials (MLIPs) has increased significantly in recent years. These new data-driven potential energy approximations often lac…

cond-mat.mes-hall2024

A Genetic Algorithm Trained Machine-Learned Interatomic Potential for the Silicon-Carbon System

Michael MacIsaac, Salil Bavdekar, Douglas Spearot +1

A linear regression-based machine learned interatomic potential (MLIP) was developed for the silicon-carbon system. The MLIP was predominantly trained on structures discovered thro…

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