首页|Findings on Machine Learning Reported by Investigators at Tsinghua University (P rediction of Bond Dissociation Energy for Organic Molecules Based On a Machine-l earning Approach)
Findings on Machine Learning Reported by Investigators at Tsinghua University (P rediction of Bond Dissociation Energy for Organic Molecules Based On a Machine-l earning Approach)
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 Daily News Daily News - New research on Machine Learning is th e subject of a report. According to news reporting originating from Beijing, Peo ple’s Republic of China, by NewsRx correspondents, research stated, “Bond dissoc iation energy (BDE), which refers to the enthalpy change for the homolysis of a specific covalent bond, is one of the basic thermodynamic properties of molecule s. It is very important for understanding chemical reactivities, chemical proper ties and chemical transformations.” Financial supporters for this research include National Program of Top-notch You ng Professionals, National Natural Science Foundation of China (NSFC), National Key R&D Program of China, National Science & Technolo gy Fundamental Resource Investigation Program of China, Haihe Laboratory of Sust ainable Chemical Transformations.
BeijingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningTsinghua University