首页|Studies Conducted at Xiangtan University on Machine Learning Recently Reported ( Theoretical Calculations and Simulations Power the Design of Inorganic Solid-sta te Electrolytes)
Studies Conducted at Xiangtan University on Machine Learning Recently Reported ( Theoretical Calculations and Simulations Power the Design of Inorganic Solid-sta te Electrolytes)
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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 from Xiangtan, People’s Republic of China, by NewsRx correspondents, researchstated, “Using so lid-state electrolytes (SSEs) to build batteries helps improve the safety and li fespan ofbatteries, making it crucial to deeply understand the fundamental phys ical and chemical properties ofSSEs. Theoretical calculations based on modern q uantum chemical methods and molecular simulationtechniques can explore the rela tionship between the structure and performance of SSEs at the atomic andmolecul ar levels.”
XiangtanPeople’s Republic of ChinaAs iaCyborgsElectrolytesEmerging TechnologiesInorganic ChemicalsMachine L earningXiangtan University
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