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What is Spin-Driven Thermoelectric Materials Discovery about?

This article discusses the use of interpretable machine learning, specifically factorized asymptotic Bayesian inference hierarchical mixture of experts (FAB/HMEs), to identify advanced spin-driven thermoelectric materials. The approach enables the extraction of meaningful correlations and knowledge about these materials, leading to the successful synthesis of a novel thermoelectric material with the largest thermopower recorded to date. The study highlights the importance of collaboration between machine le

Author

anudhiman45_49343879

Language

EN