Published in

Royal Society of Chemistry, Journal of Materials Chemistry A: materials for energy and sustainability, 2(12), p. 1157-1165, 2024

DOI: 10.1039/d3ta05690b

Links

Tools

Export citation

Search in Google Scholar

Machine-learning-assisted discovery of 212-Zintl-phase compounds with ultra-low lattice thermal conductivity

Journal article published in 2024 by Qi Ren ORCID, Dali Chen, Lixiang Rao ORCID, Yingzhuo Lun ORCID, Gang Tang ORCID, Jiawang Hong ORCID
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

Full text: Unavailable

Green circle
Preprint: archiving allowed
Upload
Orange circle
Postprint: archiving restricted
Upload
Red circle
Published version: archiving forbidden
Policy details
Data provided by SHERPA/RoMEO

Abstract

Machine-learning-assisted discovery of 212-Zintl-phase compounds with ultra-low lattice thermal conductivity.