首页|Studies from South China Normal University Have Provided New Information about M achine Learning (Unsupervised Machine Learning In the Analysis of Nonadiabatic M olecular Dynamics Simulation)
Studies from South China Normal University Have Provided New Information about M achine Learning (Unsupervised Machine Learning In the Analysis of Nonadiabatic M olecular Dynamics Simulation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Machine Learning have be en published. According to news reporting originating from Guangzhou, People’s R epublic of China, by NewsRx correspondents, research stated, “The all-atomic ful l-dimensional-level simulations of nonadiabatic molecular dynamics (NAMD) in lar ge realistic systems has received high research interest in recent years. Howeve r, such NAMD simulations normally generate an enormous amount of time-dependent high-dimensional data, leading to a significant challenge in result analyses.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Opening Project of the Key Laboratory of Optoelectronic Chem ical Materials and Devices of Ministry of Education, Jianghan University.
GuangzhouPeople’s Republic of ChinaA siaCyborgsEmerging TechnologiesMachine LearningMolecular DynamicsPhysi csSouth China Normal University
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