首页|South China University of Technology Reports Findings in Machine Learning (Machi ne Learning Assisted Prediction of Donor Numbers: Guiding Rational Fabrication o f Polymer Electrolytes for Lithium-Ion Batteries)
South China University of Technology Reports Findings in Machine Learning (Machi ne Learning Assisted Prediction of Donor Numbers: Guiding Rational Fabrication o f Polymer Electrolytes for Lithium-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 - New research on Machine Learning is th e subject of a report. According to newsreporting originating from Guangzhou, P eople’s Republic of China, by NewsRx correspondents, researchstated, “Polymer e lectrolytes are of interest in high-energy-density batteries. However, how the i ntrinsicelectron-donating capability of polymer segments involved in coordinati on affects lithium-ion dissociation/transmission and rationally guides the desig n and fabrication of electrolytes is a highly exploratorytopic.”
GuangzhouPeople’s Republic of ChinaA siaCyborgsElectrolytesEmerging TechnologiesInorganic ChemicalsMachine Learning
NETL
NSTL
