Zhizhou Zhang

Helix: Evolutionary Reinforcement Learning for Open-Ended Scientific Problem Solving

From Cheap Geometry to Expensive Physics: A Physics-agnostic Pretraining Framework for Neural Operators

Accelerating PDE-Constrained Optimization by the Derivative of Neural Operators