首页|ITMO University Reports Findings in Machine Learning (Prediction of Metal-Organic Frameworks with Phase Transition via Machine Learning)
ITMO University Reports Findings in Machine Learning (Prediction of Metal-Organic Frameworks with Phase Transition via Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is the subject of a report. According to news reporting originating from St. Petersbu rg, Russia, by NewsRx correspondents, research stated, “Metalorganic frameworks (MOFs) possess a virtually unlimited number of potential structures. Although the latter enables an efficient route to control the structure-related functional properties of MOFs, it still complicates the prediction and searching for an op timal structure for specific application.”
St. PetersburgRussiaEurasiaCyborgsEmerging TechnologiesMachine Learning
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