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Emily Shinkle — most-cited papers & profile · AI for Science
← authors
·
overview
Emily Shinkle
3
papers ·
9
citations ·
3
h-index
Los Alamos National Laboratory
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Thermodynamic Transferability in Coarse-Grained Force Fields using Graph Neural Networks
2024 · 8 citations
Teacher-student training improves accuracy and efficiency of machine learning interatomic potentials
2025 · 1 citations
Ensemble Knowledge Distillation for Machine Learning Interatomic Potentials
2025
Top co-authors
Aleksandra Pachalieva
· 3
Galen T. Craven
· 3
Sakib Matin
· 3
Kipton Barros
· 2
Nicholas Lubbers
· 2
Ying Wai Li
· 2
Alice E. A. Allen
· 1
and Nicholas Lubbers
· 1
Benjamin Nebgen
· 1
Brendan Gifford
· 1
Justin S. Smith
· 1
Richard Messerly
· 1
Topics
Chemistry
Materials
Physics ML