首页|Reports from Donghua University Advance Knowledge in Machine Learning (Accelerating Design of Glass Substrates By Machine Learning Using Small-to-medium Datasets)
Reports from Donghua University Advance Knowledge in Machine Learning (Accelerating Design of Glass Substrates By Machine Learning Using Small-to-medium Datasets)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news originatingfrom Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “The demand forhigh-performance displays is driving the development of glass substrates with extremely low strain variationduring manufacturing. To achieve the necessary balance of physical properties to resist strain, the traditionalcompositional design methods for glass substrates like trial-and-error and classical computational techniquesshould be optimized.”
ShanghaiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningDonghua University
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