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Nathan DeBardeleben — most-cited papers & profile · AI for Science
← authors
·
overview
Nathan DeBardeleben
2
papers ·
0
citations ·
1
h-index
Los Alamos National Laboratory
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
In-context learning enables continental-scale subsurface temperature prediction from sparse local observations
2026
A Foundation Model for Material Fracture Prediction
2025
Top co-authors
Daniel O'Malley
· 2
Earl Lawrence
· 2
Hari Viswanathan
· 2
Abigail Hunter
· 1
Agnese Marcato
· 1
Aleksandra Pachalieva
· 1
and Javier E. Santos
· 1
Angana Mazumder
· 1
Bharat Srikishan
· 1
Christopher W. Johnson
· 1
David Coblentz
· 1
Esteban Rougier
· 1
Topics
Physics ML
Climate & Weather
Materials