首页|Universite Paris Cite Reports Findings in Machine Learning (Predicting redox pot entials by graph-based machine learning methods)
Universite Paris Cite Reports Findings in Machine Learning (Predicting redox pot entials by graph-based machine learning methods)
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 out of Paris, France, by News Rx editors, research stated, “The evaluation of oxidation andreduction potentia ls is a pivotal task in various chemical fields. However, their accurate predict ion by theoreticalcomputations, which is a complementary task and sometimes the only alternative to experimentalmeasurement, may be often resource-intensive a nd time-consuming.”