Composable neural emulators accelerate thermoelectric generator design
. This work demonstrates the power of artificial intelligence (AI) in TE generator design, inspiring further research on AI for thermoelectrics.
Authors
- Zhao Hu
- Xinyuan Wang
- Xinzhi Wu (ORCID: https://orcid.org/0000-0002-5545-8460)
- Longquan Wang (ORCID: https://orcid.org/0009-0009-9910-9770)
- Gang Wu
- Jiankang Li
- Takao Mori (ORCID: https://orcid.org/0000-0003-2682-1846)
- Airan Li (ORCID: https://orcid.org/0009-0004-7318-4821)
Institutions
- University of Tsukuba (JP)
- National Institute for Materials Science (JP)
Publication Details
- Journal
- Nature
- Published
- 2026-04-15
- DOI
- https://doi.org/10.1038/s41586-026-10223-1
- Citations
- 1
- Primary Topic
- Advanced Thermoelectric Materials and Devices
- Type
- article
- Field-Weighted Citation Impact
- 9.15
Funders
- Japan Society for the Promotion of Science
- JST-Mirai Program