Predicting Scattering From Complex Nano-Structures via Deep Learning
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3012132
Abstract: Existing numerical electromagnetic (EM) solvers are usually computationally expensive, time consuming, and memory demanding. Recent advances in deep learning (DL) techniques have demonstrated superior efficiency and provide an alternative pathway for speeding up simulations by… read more here.
Keywords: predicting scattering; deep learning; scattering complex; via deep ... See more keywords
A Computationally Efficient 3-D Full-Wave Model for Coherent EM Scattering From Complex-Geometry Hydrometeors Based on MoM/CBFM-Enhanced Algorithm
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2017.2781625
Abstract: An accurate representation of the electromagnetic (EM) behavior of precipitation particles requires modeling of realistic complex geometry and a numerically efficient technique to calculate averaged scattering properties over multiple random target orientations. The discrete dipole… read more here.
Keywords: complex geometry; snow particles; model; geometry ... See more keywords