摘要
一位新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-机器学习的新研究是一篇报告的主题。据新华社太原消息报道，“石榴石固体电解质因其离子电导率高、电化学窗口宽、电化学稳定性好而成为最有前途的电解质材料之一，但用试错法筛选高性能石榴石固体电解质存在开发周期长、成本高等缺点。”本研究的资金来源包括国家自然科学基金(NSFC)、山西省重点研究开发项目、中央引导地方科学技术发展专项基金项目、山西省重点研究开发项目。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news originating from Taiyuan, People's Repu blic of China, by NewsRx correspondents, research stated, "Garnet solid-state el ectrolytes have become one of the most promising electrolyte materials due to th eir high ionic conductivity, wide electrochemical window, and excellent electroc hemical stability. However, the trialand -error method used to screen high-perfo rmance garnet solid-state electrolytes has the disadvantages of a long developme nt cycle and high cost." Funders for this research include National Natural Science Foundation of China ( NSFC), Key Research and Development Program of Shanxi Province, Central Governme nt Guides Local Science, Technology Development Special Fund Project, Key R& D program of Shanxi Province.
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