A Thermo-Kinematic Operator Splitting Framework for Stefan Problems Based on Extreme Learning Machines

Solving Stefan problems via neural networks is challenging because of the nonlinear coupling between the solution and the free boundary, which generally leads to a non-convex optimization problem when they are parameterized and optimized simultaneously. To address this difficulty, we propose a therm