Data-driven acceleration of photonic simulations

@article{Trivedi2019DatadrivenAO,
  title={Data-driven acceleration of photonic simulations},
  author={Rahul Trivedi and Logan Su and Jesse Lu and Martina Schubert and Jelena Vu{\vc}kovi{\'c}},
  journal={Scientific Reports},
  year={2019},
  volume={9}
}
Designing modern photonic devices often involves traversing a large parameter space via an optimization procedure, gradient based or otherwise, and typically results in the designer performing electromagnetic simulations of a large number of correlated devices. In this paper, we investigate the possibility of accelerating electromagnetic simulations using the data collected from such correlated simulations. In particular, we present an approach to accelerate the Generalized Minimal Residual… 

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