A Multi-Indicator Weighted Screening Strategy of Materials: Integrating Process Evaluation into Machine Learning-Assisted High-Throughput Screening for SF6 Recycling

待确认 10 由 Alliswell 发布于 2026/1/27 12:50:35

DOI:10.1021/acssuschemeng.5c10139
作者：Chunxiao Gao, , , Ruikai Zhao*, , , Xiubin Liu, , , Zhaoxi Yu, , , Ning Xue, , , Runqi Sun, , , Xiaoheng Shangguan, , , Jiajun Wan
文献类型：期刊论文
补充材料：只需要正文

American Chemical Society (ACS)

Abstract：The rapid development of metal–organic frameworks (MOFs) has created opportunities for identifying efficient adsorbents for SF6 recycling. However, existing studies have primarily relied on

应助信息

等待求助人确认

求助人未确认前，本求助不能再次应助。36小时后系统将自动确认应助成功。本求助将自动关闭。

2小时前

你我没有ta

194a8f7afb4311f0a5d534735aa3bc31.pdf

3小时前

Book学术机器人

2026/1/27 12:50:35 未找到该文献，机器人已退出，请等待人工下载

2026/1/27 12:50:35 Book学术AI机器人收到请求，开始寻找文献

2026/1/27 12:50:35 已向机器人发送请求

3小时前

Alliswell 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:Thieme Medical PublishersConvenient Synthesis of Ethyl 5-Oxohomoadamantane-4-carboxylate: A Useful Precursor of Polyfunctional Homoadamantanes