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Pavlos Protopapas — most-cited papers & profile · AI for Science
← authors
·
overview
Pavlos Protopapas
21
papers ·
75
citations ·
32
h-index
Harvard University · John F. Kennedy University · Harvard University Press
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Most-cited papers
Physics-Informed Neural Networks for Quantum Eigenvalue Problems
2022 · 28 citations
Gravitational Duals from Equations of State
2024 · 11 citations
One-Shot Transfer Learning of Physics-Informed Neural Networks
2021 · 6 citations
DEQGAN: Learning the Loss Function for PINNs with Generative Adversarial Networks
2022 · 6 citations
Transfer Learning with Physics-Informed Neural Networks for Efficient Simulation of Branched Flows
2022 · 5 citations
Efficient PINNs via Multi-Head Unimodular Regularization of the Solutions Space
2025 · 3 citations
Error-Aware B-PINNs: Improving Uncertainty Quantification in Bayesian Physics-Informed Neural Networks
2022 · 3 citations
The Denario project: Deep knowledge AI agents for scientific discovery
2025 · 1 citations
Recent Advances of NeuroDiffEq -- An Open-Source Library for Physics-Informed Neural Networks
2025 · 1 citations
Stiff Transfer Learning for Physics-Informed Neural Networks
2025 · 1 citations
One-Shot Transfer Learning for Nonlinear ODEs
2023 · 1 citations
Physics-Informed Neural Embeddings of PDE Solution Families
2026
Chebyshev-Augmented One-Shot Transfer Learning for PINNs on Nonlinear Differential Equations
2026
Learning embeddings of non-linear PDEs: the Burgers' equation
2026
One-Shot Transfer Learning for Nonlinear PDEs with Perturbative PINNs
2025
Top co-authors
Pedro Taranc\'on-\'Alvarez
· 5
Raul Jimenez
· 5
Marios Mattheakis
· 3
Blake Bullwinkel
· 2
David N. Spergel
· 2
David Sondak
· 2
Karim Pichara
· 2
Leonid Sarieddine
· 2
Olga Graf
· 2
Pablo Flores
· 2
Pablo Tejerina-P\'erez
· 2
Shuheng Liu
· 2
Topics
Physics ML
Math & Equations
Chemistry
Medical AI
Materials