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High-throughput prediction of the carrier relaxation time via data-driven descriptor
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Discover an innovative descriptor crafted by Zizhen Zhou, Guohua Cao, Jianghui Liu, and Huijun Liu, which efficiently predicts carrier relaxation time in tetradymite compounds using a unique data-driven approach. This breakthrough requires no complex calculations and leverages elemental properties, revolutionizing the study of materials with diverse stoichiometries.
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