High-throughput screening of amorphous polymers with high intrinsic thermal conductivity <i>via</i> automated physical feature engineering-Reference-Cited by-同舟云学术

High-throughput screening of amorphous polymers with high intrinsic thermal conductivity via automated physical feature engineering

Published:2023 Issue:38 Volume:11 Page:20539-20548
ISSN:2050-7488
Container-title:Journal of Materials Chemistry A
language:en
Short-container-title:J. Mater. Chem. A

Author:

Huang Xiang¹^ORCID,Ma Shengluo¹^ORCID,Wu Yunwen²^ORCID,Wan Chaoying³^ORCID,Zhao C. Y.¹^ORCID,Wang Hong²^ORCID,Ju Shenghong¹²^ORCID

Affiliation:

1. China-UK Low Carbon College, Shanghai Jiao Tong University, Shanghai, China

2. Materials Genome Initiative Center, School of Material Science and Engineering, Shanghai Jiao Tong University, Shanghai, China

3. International Institute for Nanocomposites Manufacturing (IINM), WMG, University of Warwick, Coventry, UK

Abstract

An interpretable informatics algorithm-assisted framework has been proposed and applied for the exploration of high thermal conductivity polymers by integrating automated physical feature engineering and symbolic regression.

Funder

National Natural Science Foundation of China

Shanghai Jiao Tong University

Publisher

Royal Society of Chemistry (RSC)

Subject

General Materials Science,Renewable Energy, Sustainability and the Environment,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2023/TA/D3TA03370H

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