Abstract
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."
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