Neural Network-Based Modeling Method for Optical Devices

Developing neural network-based optical device models is crucial for designing high-precision, efficient optical devices. This approach overcomes the time and cost limitations of traditional models. This approach overcomes the limitations of traditional models in terms of time and cost. A cost-effective neural network approach is introduced for precise prediction of optical device characteristics based on response data across various geometries.