首页|Ohio State University Reports Findings in Machine Learning (Zero- Shot Discovery of High-Performance, Low-Cost Organic Battery Materials Using Machine Learning)
Ohio State University Reports Findings in Machine Learning (Zero- Shot Discovery of High-Performance, Low-Cost Organic Battery Materials Using Machine Learning)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
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.”
ColumbusOhioUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
