A physics-guided POD-DeepONet surrogate predicts microscale displacements in viscoelastic composites with about 2-5% field errors and about 100x speedup over the reference FE solver.
Equino: A physics-informed neural operator for multiscale simulations.arXiv preprint arXiv:2504.07976, 2025
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A Neural Operator based Hybrid Microscale Model for Multiscale Simulation of Rate-Dependent Materials
A physics-guided POD-DeepONet surrogate predicts microscale displacements in viscoelastic composites with about 2-5% field errors and about 100x speedup over the reference FE solver.