首页|Reports Summarize Machine Learning Findings from East China University of Scienc e and Technology (Machine Learning Model To Efficiently Predict the Structure an d Properties of Mgcl2-naclkcl Melts)
Reports Summarize Machine Learning Findings from East China University of Scienc e and Technology (Machine Learning Model To Efficiently Predict the Structure an d Properties of Mgcl2-naclkcl Melts)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingoriginating in Shanghai, People’s Re public of China, by NewsRx journalists, research stated, “MgCl2-NaCl-KCl ternary melts hold great promise as thermal energy storage and heat transfer fluid for the nextgeneration of concentrating solar power (CSP), offering major advantage s such as high-temperature storagecapacity, adjustable temperature ranges, and renewable usability. However, a critical challenge is the lackof an accurate mo del to analyze the structural and property aspects of this complex melt.”
ShanghaiPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningEast China University of S cience and Technology
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