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Paris Perdikaris — most-cited papers & profile · AI for Science
← authors
·
overview
Paris Perdikaris
6
papers ·
73
citations ·
52
h-index
Google Scholar ↗
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Most-cited papers
Physics-Informed Neural Networks and Extensions
2024 · 8 citations
PhysicsCorrect: A Training-Free Approach for Stable Neural PDE Simulations
2025 · 3 citations
Multimodal Scientific Learning Beyond Diffusions and Flows
2026
Learning Unknown Physics of non-Newtonian Fluids
2020
On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks
2020
Top co-authors
Akshat Kaushal
· 1
Alexandre M. Tartakovsky
· 1
Amanda A. Howard
· 1
and George Em Karniadakis
· 1
Brandon Reyes
· 1
Hanwen Wang
· 1
Leonardo Ferreira Guilhoto
· 1
Maziar Raissi
· 1
Nazanin Ahmadi
· 1
Sifan Wang
· 1
Xinquan Huang
· 1
Topics
Physics ML
Math & Equations
Materials
Chemistry