Predicting the thermoelectric figure of merit in p-type BiSbTe-based alloys using artificial neural network modeling-Reference-Cited by-同舟云学术

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Predicting the thermoelectric figure of merit in p-type BiSbTe-based alloys using artificial neural network modeling

Published:2024-08 Issue: Volume:40 Page:109396
ISSN:2352-4928
Container-title:Materials Today Communications
language:en
Short-container-title:Materials Today Communications

Author:

Madavali Babu,Nagarjuna Cheenepalli,Dewangan Sheetal Kumar,Ahn Byungmin,Hong Soon-Jik

Funder

Ministry of Trade, Industry and Energy

National Research Foundation of Korea

Korea Institute for Advancement of Technology

Ministry of Science, ICT and Future Planning

Publisher

Elsevier BV

Reference48 articles.

1. Opportunities and challenges for a sustainable energy future;Chu;Nature,2012

2. Alternative energy technologies;Dresselhaus;Nature,2001

3. Thermoelectric materials step up;Shi;Nat. Mater.,2016

4. Complex thermoelectric materials;Snyder;Nat. Mater.,2008

5. A Review on Silicide-Based Materials: Thermoelectric and Mechanical Properties;Kim;Met. Mater. Int.,2021

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