Zhipeng Chang

Unsupervised Operator Learning Approach for Dissipative Equations via Onsager Principle

Abstract. Existing operator learning methods rely on supervised training with high-fidelity simulation data, introducing significant computational cost. In this work, we propose the deep Onsager operator learning (DOOL) method, a novel unsupervised framework for solving dissipative equations. Rooted in the Onsager var...