3 papers
cs.LG2026
A Physics-Informed Hierarchical Neural Network for Microwave Scattering Analysis of 3D PEC Targets
Rui Zhu, Yuexing Peng, George C. Alexandropoulos +1
Accurate modeling of scattering from three-dimensional (3D) perfectly electrically conducting (PEC) targets at microwave frequencies constitutes a fundamental objective in computat…
cs.LG2026
Graph neural network for colliding particles with an application to sea ice floe modeling
Ruibiao Zhu
This paper introduces a novel approach to sea ice modeling using Graph Neural Networks (GNNs), utilizing the natural graph structure of sea ice, where nodes represent individual ic…
cs.LG2026
Learning the Basis: A Kolmogorov-Arnold Network Approach Embedding Green's Function Priors
Rui Zhu, Yuexing Peng, George C. Alexandropoulos +2
The Method of Moments (MoM) is constrained by the usage of static, geometry-defined basis functions, such as the Rao-Wilton-Glisson (RWG) basis. This letter reframes electromagneti…