Enhancing Adjoint Optimization-Based Photonic Inverse Design with Explainable Machine Learning
Enhancing Adjoint Optimization-Based Photonic Inverse Design with Explainable Machine Learning
A fundamental challenge in the design of photonic devices, and electromagnetic structures more generally, is the optimization of their overall architecture to achieve a desired response. To this end, topology or shape optimizers based on the adjoint variable method have been widely adopted due to their high computational efficiency and …