首页|Shandong University Researchers Describe Recent Advances in Machine Learning (Sp eeding up the development of solid state electrolyte by machine learning)
Shandong University Researchers Describe Recent Advances in Machine Learning (Sp eeding up the development of solid state electrolyte by machine learning)
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New research on artificial intelligenc e is the subject of a new report. According to news originating from Jinan, Peop le's Republic of China, by NewsRx editors, the research stated, "Solid-state ele ctrolytes have been demonstrated immense potential with their high density and s afety for Li, Na batteries." The news reporters obtained a quote from the research from Shandong University: "The discovery of novel crystals is of fundamental scientific and technological interest in solid-state chemistry. The discovery, synthesis and application of e nergetically favourable solid-state electrolytes has been bottlenecked by expens ive trial-and-error approaches. Machine learning has brought breakthroughs to so lid-state electrolytes. Numerous solid-state electrolyte candidates have been sc reened by different models at multiscale, i.e., interatomic potentials, molecula r dynamics, ionic conductivity. Machine learning method also accelerate the synt hesis prediction, mechanism discovery and interface design. This review would an swer the question what can be done for solid-state electrolytes by machine learn ing, including descriptor, model, algorithm etc."
Shandong UniversityJinanPeople's Rep ublic of ChinaAsiaCyborgsElectrolytesEmerging TechnologiesInorganic Ch emicalsMachine Learning
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