Dr. Yunfei Huang

I develop supervised- and unsupervised machine learning approaches for solving partial differential equations (PDEs ), such as the Navier Stokes or shallow water equations, with the aim of improving the accuracy/speed trade-off in climate and weather applications. To improve accuracy and stability, I utilize geometric deep learning confer symmetries found in nature to the output of the neural networks I train.