Aug 10, 2023 · This paper introduces two Asymptotic-Preserving Neural Network (APNN) methods within a physics-informed neural network (PINN) framework for solving the VPFP ...

Apr 20, 2024 · In the high-field regime, the strong forcing term balances the Fokker-Planck diffusion term [1], which is different from the low-field limit (or ...

This paper introduces two Asymptotic-Preserving Neural Network (APNN) methods within a physics-informed neural network (PINN) framework for solving the VPFP ...

Apr 20, 2024 · In the high-field regime, the strong forcing term balances the Fokker-Planck diffusion term [1], which is different from the low-field limit (or ...

We design a variational asymptotic preserving scheme for the Vlasov--Poisson--Fokker--Planck system with the high field scaling.

Author's Latest Publications. research-article. Asymptotic-Preserving Neural Networks for Multiscale Vlasov–Poisson–Fokker–Planck System in the High-Field ...

We develop a stochastic asymptotic preserving (s-AP) scheme for the Vlasov--Poisson--Fokker--Planck system in the high field regime with uncertainty.

[229] Shi Jin, Zheng Ma, Tian-ai Zhang, Asymptotic-preserving neural networks for multiscale Vlasov-Poisson-Fokker-Planck system in the high-field regime, J.

Jan 5, 2023 · In this paper we develop a neural network for the numerical simulation of time-dependent linear transport equations with diffusive scaling ...

6 days ago · This paper introduces the Asymptotic-Preserving Random Feature Method (APRFM) for the efficient resolution of multiscale radiative transfer ...