摘要
由一名新闻记者-机器人与机器学习日报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道的主题。据新闻报道来自俄亥俄州哥伦布的报道，由NewsR X记者报道，研究称，“有机电极材料”(OEMs)由丰富的碳、氮、氧等元素组成,对传统的依赖有限金属资源的电极材料提供了可持续的改变。有机化合物的多样性提供了一个几乎无限的设计空间；然而，探索这个空间通过爱迪生的反复试验或方法是昂贵和耗时的。
Abstract
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 from Columbus, Ohio, by NewsR x journalists, research stated, “Organic electrode materials(OEMs), composed of abundant elements such as carbon, nitrogen, and oxygen, offer sustainable alter natives to conventional electrode materials that depend on finite metal resource s. The vast structuraldiversity of organic compounds provides a virtually unlim ited design space; however, exploring this spacethrough Edisonian trial-and-err or approaches is costly and time-consuming.”
NETL
NSTL