A Label-Free Physics-to-Data Acceleration Framework for Parametric Time-Dependent PDEs with Latent-Space Differential-Operator Learning

Hongjiang Wang, Weizhe Wang, Yingzheng Liu

Efficient solution of time-dependent parametric partial differential equations (PDEs) is central to computational science and engineering. Existing deep-learning-based accelerators…