Scholar
Nathaniel Trask
Google Scholar ID: 6iLMZkwAAAAJ
University of Pennsylvania
Scientific machine learning
physics compatible discretization
meshless methods
multiphysics
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Citations & Impact
All-time
Citations
2,051
H-index
26
i10-index
41
Publications
20
Co-authors
67
list available
Publications
11 items
Structure-Preserving Neural Surrogates with Tractable Uncertainty Quantification
2026
Cited
0
Neural Navigation Functions for Zero-Shot Generalizable Motion Planning
2026
Cited
0
A meshfree exterior calculus for generalizable and data-efficient learning of physics from point clouds
2026
Cited
0
A Hybridizable Neural Time Integrator for Stable Autoregressive Forecasting
2026
Cited
0
Structure-Preserving Learning Improves Geometry Generalization in Neural PDEs
2026
Cited
0
Multi-robot Multi-source Localization in Complex Flows with Physics-Preserving Environment Models
2025
Cited
0
Physics-informed sensor coverage through structure preserving machine learning
2025
Cited
0
Data-driven particle dynamics: Structure-preserving coarse-graining for emergent behavior in non-equilibrium systems
2025
Cited
0
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Co-authors
11 total
Ravi G Patel
Scientist, Sandia National Labs
Kookjin Lee
Arizona State University
Eric C. Cyr
Computational Mathematics Department, Sandia National Laboratories
Pavel Bochev
Distinguished Member of technical Staff, Sandia National Laboratories
Paul Kuberry
Sandia National Laboratories
Xiaozhe Hu
Tufts University
Kyungjoo Kim
NVIDIA
Yue Yu
Professor of Applied Mathematics, Lehigh University
