首页|Xi’an Jiaotong University Reports Findings in Machine Learning (Machine Learning for Predicting Ultralow Thermal Conductivity and High ZT in Complex Thermoelect ric Materials)
Xi’an Jiaotong University Reports Findings in Machine Learning (Machine Learning for Predicting Ultralow Thermal Conductivity and High ZT in Complex Thermoelect ric Materials)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is the subject of a report. According to news reporting from Xi’an, People’s Republic of China, by NewsRx journalists, research stated, “Efficient and precise calcul ations of thermal transport properties and figures of merit, alongside a deep co mprehension of thermal transport mechanisms, are essential for the practical uti lization of advanced thermoelectric materials. In this study, we explore the mic roscopic processes governing thermal transport in the distinguished crystalline material TlSbTe by integrating a unified thermal transport theory with machine l earning-assisted self-consistent phonon calculations.”
Xi’anPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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