Tag: Chenfanfu Jiang

Chenfanfu Jiang, assistant professor of Computer and Information Science, has a new paper out in preprint. Abstract: This paper provides a new avenue for exploiting deep neural networks to improve physics-based simulation. Specifically, we integrate the classic Lagrangian mechanics with a deep autoencoder to accelerate elastic simulation of deformable solids. Due to the inertia effect,…