VMLFN converts physics-informed neural network training into a linear matrix solve using variational weak forms for efficient parametric multiphysics surrogates.
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A two-stage PINN uses Fourier series for temperature and energy-loss MLP for warpage to match FEM results at 0.2 μm MAE with 1000x speedup on CTE studies.
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Variational Matrix-Learning Fourier Networks for Parametric Multiphysics Surrogates
VMLFN converts physics-informed neural network training into a linear matrix solve using variational weak forms for efficient parametric multiphysics surrogates.
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WarpagePINN: Thermal Warpage Prediction in Advanced Packaging via a Two-Stage Physics-Informed Neural Networks
A two-stage PINN uses Fourier series for temperature and energy-loss MLP for warpage to match FEM results at 0.2 μm MAE with 1000x speedup on CTE studies.