首页|Henan University Reports Findings in Machine Learning (Exploring negative therma l expansion materials with bulk framework structures and their relevant scaling relationships through multi-step machine learning)
Henan University Reports Findings in Machine Learning (Exploring negative therma l expansion materials with bulk framework structures and their relevant scaling relationships through multi-step machine learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting from Kaifeng, People’s Republ ic of China, by NewsRx journalists, research stated, “Discoveringnew negative t hermal expansion (NTE) materials is a great challenge in experiment. Meanwhile, themachine learning (ML) method can be another approach to explore NTE material s using the existingmaterial databases.”
KaifengPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine Learning
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