首页|University of Science and Technology of China Reports Findings in Machine Learning (Spectroscopy-Guided Deep Learning Predicts Solid-Liquid Surface Adsorbate Properties in Unseen Solvents)
University of Science and Technology of China Reports Findings in Machine Learning (Spectroscopy-Guided Deep Learning Predicts Solid-Liquid Surface Adsorbate Properties in Unseen Solvents)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to news reporting out of Anhui, People’s Republic of China, by NewsRx editors, research stated, “Accurately andrapidly acquiring the microscopic properties of a material is crucial for catalysis and electrochemistry.Characterization tools, such as spectroscopy, can be a valuable tool to infer these properties, and whencombined with machine learning tools, they can theoretically achieve fast and accurate prediction results.”
AnhuiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
