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20182026
most citedPhysics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data

1.1k citations · 1.1k across the 9 of their papers we have counts for

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math-ph2025

Design-GenNO: A Physics-Informed Generative Model with Neural Operators for Inverse Microstructure Design

Yaohua Zang, Phaedon-Stelios Koutsourelakis

Inverse microstructure design plays a central role in materials discovery, yet remains challenging due to the complexity of structure-property linkages and the scarcity of labeled…