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George Em Karniadakis — most-cited papers & profile · Graph Learning
← authors
·
overview
George Em Karniadakis
17
papers ·
124
citations ·
137
h-index
John Brown University · Brown University · University of Rochester
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
DeepSeek vs. ChatGPT vs. Claude: A Comparative Study for Scientific Computing and Scientific Machine Learning Tasks
2025 · 53 citations
Mitigating Spectral Bias in Neural Operators via High-Frequency Scaling for Physical Systems
2025 · 29 citations
Learning and discovering multiple solutions using physics-informed neural networks with random initialization and deep ensemble
2025 · 20 citations
Representation Meets Optimization: Training PINNs and PIKANs for Gray-Box Discovery in Systems Pharmacology
2025 · 12 citations
Spiking Neural Operators for Scientific Machine Learning
2022 · 3 citations
A Digital Twin for Diesel Engines: Operator-infused Physics-Informed Neural Networks with Transfer Learning for Engine Health Monitoring
2024 · 2 citations
AMORE: Adaptive Multi-Output Operator Network for Stiff Chemical Kinetics
2025 · 2 citations
Score-fPINN: Fractional Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker-Planck-Levy Equations
2024 · 2 citations
Automatic selection of the best neural architecture for time series forecasting
2025 · 1 citations
Process-Informed Forecasting of Complex Thermal Dynamics in Pharmaceutical Manufacturing
2025
Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations
2018
Physics-informed neural networks for inverse problems in nano-optics and metamaterials
2019
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data
2020
Physics-informed neural networks for solving forward and inverse flow problems via the Boltzmann-BGK formulation
2020
Learning Functional Priors and Posteriors from Data and Physics
2021
Topics
Physics ML
Math & Equations
Domain — Energy/Weather
Domain — Healthcare
Drug Discovery
Medical AI
Chemistry
Domain — Finance
Probabilistic
GANs