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Towards General Neural Surrogate Solvers with Specialized Neural Accelerators
Surrogate neural network-based partial differential equation (PDE) solvers have the potential to solve PDEs in an accelerated manner, but they are largely limited to systems featuring fixed domain sizes, geometric layouts, and boundary conditions.
WaveY-Net: Physics-augmented deep learning for high-speed electromagnetic simulation and optimization
The calculation of electromagnetic field distributions within structured media is central to the optimization and validation of photonic devices.
Deep neural networks for the evaluation and design of photonic devices
The data sciences revolution is poised to transform the way photonic systems are simulated and designed.
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