physics simulation

a structure-preserving neural physics framework that inserts learned modules into classical simulators, enabling adaptation to complex real-world material behavior while preserving the simulator’s physical structure.

A topology optimization method with an anisotropic and differentiable constitutive model to design Stokes-flow fluidic devices.