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Nathan DeBardeleben
Scholar

Nathan DeBardeleben

Google Scholar ID: V34LNhMAAAAJ
Research Scientist, Los Alamos National Laboratory
Machine LearningResilienceFault ToleranceHigh Performance Computing
Google Scholar↗
Citations & Impact
All-time
Citations
3,491
 
H-index
27
 
i10-index
51
 
Publications
20
 
Co-authors
9
list available
Publications
7 items
When Scientific Cognition Is No Longer Scarce
2026
Cited
0
Sim+Real: Joint Simulation - Experiment Training Improves Balanced Prediction in Physical Systems
2026
Cited
0
From Benchmark Performance to Tool Deployment: Human-in-the-Loop Anomaly Detection
2026
Cited
0
Accountability Asymmetry and Structural Trust in Autonomous AI Systems
2026
Cited
0
In-context learning enables continental-scale subsurface temperature prediction from sparse local observations
2026
Cited
0
A Foundation Model for Material Fracture Prediction
2025
Cited
0
URSA: The Universal Research and Scientific Agent
2025
Cited
0
Co-authors
4 total
Qiang Guan
Qiang Guan
Kent State University
Paolo Rech
Paolo Rech
Trento University
Song Fu
Song Fu
Professor, University of North Texas
Luigi Carro
Luigi Carro
Full Professor, Instituto de Informatica