2 papers
math-ph2024
Asymptotic-preserving neural networks for the semiconductor Boltzmann equation and its application on inverse problems
Liu Liu, Yating Wang, Xueyu Zhu +1
In this paper, we develop the Asymptotic-Preserving Neural Networks (APNNs) approach to study the forward and inverse problem for the semiconductor Boltzmann equation. The goal of…
math.NA2023
On a neural network approach for solving potential control problem of the semiclassical Schrödinger equation
Yating Wang, Liu Liu
Robust control design for quantum systems is a challenging and key task for practical technology. In this work, we apply neural networks to learn the control problem for the semicl…