Tag: Multi-task Learning

Electromagnetics

Demonstrates a large-scale metasurface-based reflection cavity five-layer diffractive neural network achieving angle-multiplexed multi-task processing, addressing scalability limitations in all-optical computing.

Survey / Reading Material

A systematic survey of physics-knowledge + ML methods for PDE prediction, splitting the field into architectural-level (loss, structured prediction, augmentation) and data-level (multi-task, meta, contextual) approaches, with industrial perspective and open-source ecosystem review.