Hybrid physics-informed data-driven models outperform both pure physics and pure machine-learning models in generalizability and data efficiency across three photonic system benchmarks.
Modeling of high-dimensional time-delay chaotic system based on Fourier neural operator,
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Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling
Hybrid physics-informed data-driven models outperform both pure physics and pure machine-learning models in generalizability and data efficiency across three photonic system benchmarks.