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20232026
most citedCharacterization of partial wetting by CMAS droplets using multiphase many-body dissipative particle dynamics and data-driven discovery based on PINNs

2 citations · 5 across the 5 of their papers we have counts for

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physics.comp-ph2026

Multi-fidelity surrogates for mechanics of composites: from co-kriging to multi-fidelity neural networks

Haizhou Wen, Elham Kiyani, Gang Li +3

Composite materials exhibit strongly hierarchical and anisotropic properties governed by coupled mechanisms spanning constituents, plies, laminates, structures, and manufacturing h…

cs.LG2026

Curvature-Aware Optimization for High-Accuracy Physics-Informed Neural Networks

Anas Jnini, Elham Kiyani, Khemraj Shukla +5

Efficient and robust optimization is essential for neural networks, enabling scientific machine learning models to converge rapidly to very high accuracy -- faithfully capturing co…