Affiliation:
1. School of Mechanical Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
Abstract
A giant thermal rectification efficiency of 218% is achieved by maximizing asymmetry in parameters of the Stefan–Boltzmann law for non-linear thermal radiation. Machine learning analysis suggests novel light-weight designs with high efficiencies.
Funder
National Research Foundation of Korea
Samsung Science and Technology Foundation
Publisher
Royal Society of Chemistry (RSC)
Subject
Electrical and Electronic Engineering,Process Chemistry and Technology,Mechanics of Materials,General Materials Science