9 citations · 12 across the 6 of their papers we have counts for
6 papers
Fractional High-Chern Insulator in Twisted Rhombohedral Graphene
Zexu Li, Wenxuan Wang, Fajie Wang +9
The realization of fractional Chern insulators opens up the possibility of exploring fractionally charged excitations and anyonic statistics in the absence of a magnetic field. A c…
Enriched Physics-informed Neural Networks for Dynamic Poisson-Nernst-Planck Systems
Xujia Huang, Fajie Wang, Benrong Zhang +1
This paper proposes a meshless deep learning algorithm, enriched physics-informed neural networks (EPINNs), to solve dynamic Poisson-Nernst-Planck (PNP) equations with strong coupl…
Spectral integrated neural networks (SINNs) for solving forward and inverse dynamic problems
Lin Qiu, Fajie Wang, Wenzhen Qu +2
This paper proposes a novel neural network framework, denoted as spectral integrated neural networks (SINNs), for resolving three-dimensional forward and inverse dynamic problems.…
Boundary integrated neural networks (BINNs) for acoustic radiation and scattering
Wenzhen Qu, Yan Gu, Shengdong Zhao +1
This paper presents a novel approach called the boundary integrated neural networks (BINNs) for analyzing acoustic radiation and scattering. The method introduces fundamental solut…
Adaptive physics-informed neural networks for dynamic thermo-mechanical coupling problems in large-size-ratio functionally graded materials
Lin Qiu, Yanjie Wang, Tian He +2
In this paper, we present the adaptive physics-informed neural networks (PINNs) for resolving three dimensional (3D) dynamic thermo-mechanical coupling problems in large-size-ratio…
Anderson Critical Metal Phase in Trivial States Protected by Average Magnetic Crystalline Symmetry
Fa-Jie Wang, Zhen-Yu Xiao, Raquel Queiroz +3
Transitions between distinct obstructed atomic insulators (OAIs) protected by crystalline symmetries, where electrons form molecular orbitals centering away from the atom positions…