Accelerating Multi-Elemental Catalyst Discovery with Interpretable Machine Learning and Automated Experimentation

已完结 10 由 asd 发布于 2026/6/19 19:00:30

DOI:10.1021/acsnano.5c20552
作者：Fangzheng Liu, , , Zhilong Chen, , , Han Hu, , , Cunjin Li, , , Lisong Zhang, , , Zeming Liu*, , and , Guangxu Chen*, 
文献类型：期刊论文
补充材料：只需要正文

American Chemical Society (ACS)

Abstract：Multielemental catalysts (MECs) offer broad compositional freedom for tuning catalytic performance, yet practical optimization is often limited by trial-and-error synthesis and testing. Here

应助信息

12小时前

性感辣妹子长年在线

1aaba89f6bcf11f1830034735aa3bc31.pdf 已采纳

12小时前

Book学术机器人

2026/6/19 19:00:30 未找到该文献，机器人已退出，请等待人工下载

2026/6/19 19:00:30 Book学术AI机器人收到请求，开始寻找文献

2026/6/19 19:00:30 已向机器人发送请求

12小时前

asd 发布求助

上一个求助:其它数据库Naturally Fractured Carbonate Reservoir Characterization: A Case Study of a Mature High-Pour Point Oil Field in Hungary 下一个求助:ElsevierDesign principles and selectivity origins of Pt-CuOx interfacial catalysts for low-voltage direct electroxidation of biomass-derived compounds