Scholar
Paris Perdikaris
Google Scholar ID: h_zkt1oAAAAJ
University of Pennsylvania
Machine learning
AI for Science
Computational Science and Engineering
Uncertainty Quantification
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Citations & Impact
All-time
Citations
42,600
H-index
54
i10-index
86
Publications
20
Co-authors
9
list available
Contact
No contact links provided.
Publications
7 items
Self-Flow-Matching assisted Full Waveform Inversion
2026
Cited
0
Multimodal Scientific Learning Beyond Diffusions and Flows
2026
Cited
0
CFO: Learning Continuous-Time PDE Dynamics via Flow-Matched Neural Operators
2025
Cited
0
Neural Networks as Surrogate Solvers for Time-Dependent Accretion Disk Dynamics
2025
Cited
0
Simulating Three-dimensional Turbulence with Physics-informed Neural Networks
2025
Cited
0
PhysicsCorrect: A Training-Free Approach for Stable Neural PDE Simulations
2025
Cited
0
Active Learning Design: Modeling Force Output for Axisymmetric Soft Pneumatic Actuators
2025
Cited
0
Resume (English only)
Co-authors
9 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
Co-author 7
Yue Yu
Professor of Applied Mathematics, Lehigh University
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