Machine Learning Approaches for Thermoelectric Materials Research-Reference-Cited by-同舟云学术

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Machine Learning Approaches for Thermoelectric Materials Research

Published:2019-11-20 Issue:5 Volume:30 Page:1906041
ISSN:1616-301X
Container-title:Advanced Functional Materials
language:en
Short-container-title:Adv. Funct. Mater.

Author:

Wang Tian¹,Zhang Cheng¹,Snoussi Hichem²,Zhang Gang³^ORCID

Affiliation:

1. School of Automation Science and Electrical EngineeringBeihang University Beijing 100083 China

2. Institute Charles Delaunay‐LM2S FRE CNRS 2019University of Technology of Troyes Troyes 10030 France

3. Institute of High Performance Computing A*STAR Singapore 138632 Singapore

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Electrochemistry,Condensed Matter Physics,Biomaterials,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adfm.201906041

Reference89 articles.

1. Enhancement of Thermoelectric Figure-of-Merit by a Bulk Nanostructuring Approach

2. Thermoelectric performance of silicon nanowires

3. On the tuning of electrical and thermal transport in thermoelectrics: an integrated theory–experiment perspective

4. Emerging Theory, Materials, and Screening Methods: New Opportunities for Promoting Thermoelectric Performance

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