Accelerating catalysts design by machine learning

作     者：Haishan Yu Jun Jiang 余海山;江俊

作者机构：Hefei National Laboratory for Physical Sciences at the MicroscaleCAS Key Laboratory of Mechanical Behavior and Design of MaterialsSchool of Chemistry and Materials ScienceUniversity of Science and Technology of ChinaHefei 230026China 

出 版 物：《Science Bulletin》 (科学通报（英文版）)

年 卷 期：2020年第65卷第19期

页      码：1593-1594页

摘      要：The climate crisis associated with rapid accumulation of carbon dioxide in atmosphere has posed increasing threat to human wellbeings[1].It is of great significance to capture and convert CO2 to realize sustainable utilization of carbon resources[1].The electrocatalytic CO2 reduction reaction(CO2RR)provides a sustainable,carbon-neutral method for solving this *** the difficulty of finding an efficient catalysts slows down the realization of the ambitious *** is mainly because it requires simultaneous optimization of selectivity for a specific product,energy conversion efficiency,current density and stability of the reaction system.

主 题 词：realization dioxide neutral 

学科分类：12[管理学] 1201[管理学-管理科学与工程类] 081705[081705] 08[工学] 0817[工学-轻工类] 081104[081104] 0835[0835] 0811[工学-水利类] 0812[工学-测绘类] 

核心收录：

D　O　I：10.1016/j.scib.2020.06.004

馆 藏 号：203959742...