首页|New Artificial Intelligence Findings from Hunan University Described (Prediction Methods for Phonon Transport Properties of Inorganic Crystals: From Traditional Approaches To Artificial Intelligence)
New Artificial Intelligence Findings from Hunan University Described (Prediction Methods for Phonon Transport Properties of Inorganic Crystals: From Traditional Approaches To Artificial Intelligence)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Artificial Intelligence are presented in a new report. According to newsreporting originating in Changs ha, People’s Republic of China, by NewsRx journalists, research stated,“In inor ganic crystals, phonons are the elementary excitations describing the collective atomic motions.The study of phonons plays an important role in terms of unders tanding thermal transport behavior andacoustic properties, as well as exploring the interactions between phonons and other energy carriers inmaterials.”
ChangshaPeople’s Republic of ChinaAs iaArtificial IntelligenceEmerging TechnologiesMachine LearningHunan Univ ersity
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