首页|Findings from Shanghai University Update Knowledge of MachineLearning (Discovery of the Layered Thermoelectric Compound Gebi2se4 and Accelerating Its Performance Optimization By Machine Learning)
Findings from Shanghai University Update Knowledge of MachineLearning (Discovery of the Layered Thermoelectric Compound Gebi2se4 and Accelerating Its Performance Optimization By Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reporting out ofShanghai, People’s Republic of China, by NewsRx editors, research stated, “Searching for new materials withintrinsically low lattice thermal conductivity is crucial for the exploration of high-performance thermoelectricmaterials. Herein, the layered compound GeBi2Se4 with intrinsically low lattice thermal conductivity isdiscovered, and its thermoelectric performance optimization is accelerated by machine learning.”
ShanghaiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningShanghai University
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