首页|Report Summarizes Machine Learning Study Findings from Zhengzhou University (A U niversal Machine Learning Framework To Automatically Identify High-performance C ovalent Organic Framework Membranes for Ch4/h2 Separation)
Report Summarizes Machine Learning Study Findings from Zhengzhou University (A U niversal Machine Learning Framework To Automatically Identify High-performance C ovalent Organic Framework Membranes for Ch4/h2 Separation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting from Zhengzhou, People’s Re public of China, by NewsRx journalists, research stated, “A universal machine le arning framework is proposed to predict and classify membrane performance effici ently and accurately, achieved by combining classical density functional theory and string method. Through application of this framework, we conducted high-thro ughput computations under industrial conditions, utilizing an extensive database containing nearly 70,000 covalent organic framework (COF) structures for CH4/H- 2 separation.”
ZhengzhouPeople’s Republic of ChinaA siaCyborgsEmerging TechnologiesMachine LearningZhengzhou University
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