1 citations · 1 across the 2 of their papers we have counts for
2 papers
math.NA2023★ 1 cited
Error Analysis of Physics-Informed Neural Networks for Approximating Dynamic PDEs of Second Order in Time
Yanxia Qian, Yongchao Zhang, Yunqing Huang +1
We consider the approximation of a class of dynamic partial differential equations (PDE) of second order in time by the physics-informed neural network (PINN) approach, and provide…
cond-mat.soft2022
A multi-category inverse design neural network and its application to diblock copolymers
Dan Wei, Tiejun Zhou, Yunqing Huang +1
In this work, we design a multi-category inverse design neural network to map ordered periodic structure to physical parameters. The neural network model consists of two parts, a c…