首页|Researchers from Samara State Technical University Describe Findings in Machine Learning (Machine Learning As a Tool To Accelerate the Search for New Materials for Metal-ion Batteries)
Researchers from Samara State Technical University Describe Findings in Machine Learning (Machine Learning As a Tool To Accelerate the Search for New Materials for Metal-ion Batteries)
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 – Current study results on Machine Learn ing have been published. According to newsreporting originating in Samara, Russ ia, by NewsRx journalists, research stated, “The search for new solidionic cond uctors is an important topic of material science that requires significant resou rces, but can beaccelerated using machine learning (ML) techniques. In this wor k, ML methods were applied to predictthe migration energy of working ions.”
SamaraRussiaCyborgsEmerging Techno logiesMachine LearningSamara State Technical University