Hanwen Wang

An expert's guide to training physics-informed neural networks

Payload and linker designs for platinum-acridine anticancer agents and methods thereof

On the impact of larger batch size in the training of Physics Informed Neural Networks

Random weight factorization improves the training of continuous neural representations

Improved architectures and training algorithms for deep operator networks

Enhancing the trainability and expressivity of deep MLPs with globally orthogonal initialization

On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks

Learning the solution operator of parametric partial differential equations with physics-informed DeepONets