AI-assisted enhancement of thermoelectric properties in the Yb 14− x Ca x Mn 1− y AlySb 11 Zintl system
Source abstract
Abstract
An AI-guided strategy accelerates thermoelectric materials discovery. In the quinary Yb 14− x Ca x Mn 1− y Al y Sb 11 system, machine learning predicted a high ZT composition, validating a streamlined pathway for complex material development.
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Research context
OpenAlex topics: Advanced Thermoelectric Materials and Devices · Machine Learning in Materials Science · Rare-earth and actinide compounds
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Chemistry, Chungbuk National University, Cheongju, Chungbuk 28644, Republic of Korea
Funding
Ministry of Science and ICT, South Korea
References (43)
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