Scholar
Paris Perdikaris
Google Scholar ID: h_zkt1oAAAAJ
University of Pennsylvania
Machine learning
AI for Science
Computational Science and Engineering
Uncertainty Quantification
Follow
Google Scholar
↗
Citations & Impact
All-time
Citations
42,600
H-index
54
i10-index
86
Publications
20
Co-authors
9
list available
Publications
14 items
Operator-informed initialization for Fourier features physics-informed neural networks
2026
Cited
0
SIFARI: Self-Supervised Interferometric Fitting for Astronomical Radio Imaging
2026
Cited
0
Real-time Generalizable Heart Valve Mechanics for Clinical Disease Assessment via a Physics-Conditioned Neural Operator
2026
Cited
0
Latent-MoE: Domain-Aware Mixture-of-Experts for PDEs with Multi-Regime Physics
2026
Cited
0
Small Models, Strong Priors: Architectural Inductive Bias for Parameter-Efficient Neural PDE Solvers
2026
Cited
0
A Mutual Information Lower Bound for Multimodal Regression Active Learning
2026
Cited
0
When PINNs Go Wrong: Pseudo-Time Stepping Against Spurious Solutions
2026
Cited
0
Self-Flow-Matching assisted Full Waveform Inversion
2026
Cited
0
Load more
Co-authors
7 total
George Em Karniadakis
The Charles Pitts Robinson and John Palmer Barstow Professor of Applied Mathematics and Engineering
Sifan Wang
Postdoctoral fellow, Yale University
Maziar Raissi
Associate Professor of Applied Mathematics, University of California Riverside
Ellen Kuhl
Catherine Holman Johnson Director of Stanford Bio-X and Walter B. Reinhold Professor of Engineering
Francisco Sahli Costabal
Assistant Professor at Pontificia Universidad Católica de Chile
Daniele Venturi
Professor of Applied Mathematics, UC Santa Cruz
Yue Yu
Professor of Applied Mathematics, Lehigh University
