IEEE

Multi-Frequency Neural Born Iterative Method for Solving 2-D Inverse Scattering Problems

Abstract: In this work, we propose a deep learning-based imaging method for addressing the multi-frequency electromagnetic (EM) inverse scattering problem (ISP). By combining deep learning technology ...
GitHub

differential-equations

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential ...
IEEE

A neural network-based method for solving a class of high-order nonlinear partial differential equations

Abstract: In this paper, a novel approach leveraging artificial neural networks is introduced to approximate solutions for partial differential equations. The one ...
C&EN

Coordinate Problem Cracking by Using Only the Reactant Jacobi Coordinates: A New Quantum Wave Packet Method for Product State-Resolved Reactive Scattering Calculations

Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, People's Republic of China University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of China ...