4 papers
Neural Green's Function Accelerated Iterative Methods for Solving Indefinite Boundary Value Problems
Shengyan Li, Qi Sun, Xuejun Xu +1
Neural operators, which learn mappings between the function spaces, have been applied to solve boundary value problems in various ways, including learning mappings from the space o…
Learning Function-to-Function Mappings: A Fourier Neural Operator for Next-Generation MIMO Systems
Jian Xiao, Ji Wang, Qi Sun +4
Next-generation multiple-input multiple-output (MIMO) systems, characterized by extremely large-scale arrays, holographic surfaces, three-dimensional architectures, and flexible an…
Learning Singularity-Encoded Green's Functions with Application to Iterative Methods
Qi Sun, Shengyan Li, Bowen Zheng +2
Green's function provides an inherent connection between theoretical analysis and numerical methods for elliptic partial differential equations, and general absence of its closed-f…
Lift-and-Embed Learning Methods for Solving Scalar Hyperbolic Equations with Discontinuous Solutions
Qi Sun, Zhenjiang Liu, Lili Ju +1
Deep learning methods, which exploit auto-differentiation to compute derivatives without dispersion or dissipation errors, have recently emerged as a compelling alternative to clas…