High Thermoelectric Performance of Cu-Doped PbSe-PbS System Enabled by High-Throughput Experimental Screening

Recent advances in high-throughput (HTP) computational power and machine learning have led to great achievements in exploration of new thermoelectric materials. However, experimental discovery and optimization of thermoelectric materials have long relied on the traditional Edisonian trial and error...

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Detalles Bibliográficos
Autores principales: You, Li, Li, Zhili, Ma, Quanying, He, Shiyang, Zhang, Qidong, Wang, Feng, Wu, Guoqiang, Li, Qingyi, Luo, Pengfei, Zhang, Jiye, Luo, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AAAS 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7080995/
https://www.ncbi.nlm.nih.gov/pubmed/32211611
http://dx.doi.org/10.34133/2020/1736798

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7080995/
https://www.ncbi.nlm.nih.gov/pubmed/32211611
http://dx.doi.org/10.34133/2020/1736798

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