您当前的位置:
首页 >
文章列表页 >
Application of machine learning in the preparation of porous carbons and the adsorption–separation of greenhouse gases
更新时间:2026-05-12
    • Application of machine learning in the preparation of porous carbons and the adsorption–separation of greenhouse gases

    • Chemical Industry and Engineering Progress   (2026)
    • DOI:10.16085/j.issn.1000-6613.2026-0185    

      CLC: TQ127.11;TP181
    • Received:03 February 2026

      Revised:2026-04-03

      Accepted:26 March 2026

    移动端阅览

  • ZHAO Qingkai, WANG Yugao, ZHANG Chujie, et al. Application of machine learning in the preparation of porous carbons and the adsorption–separation of greenhouse gases[J/OL]. Chemical Industry and Engineering Progress, 2026. DOI: 10.16085/j.issn.1000-6613.2026-0185.

  •  
  •  

0

Views

0

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Controllable synthesis of nitrogen-doped porous foam carbon for CH4/N2 adsorptive separation
Research advances on upcycling organic solid waste into CO2 adsorbents: A cross-research review
Nickel-based MOF material and its forming preparation for one-step separation of ethane/ethylene
Research advances in screening of machine learning-assisted materials
Multi-flavor molecule prediction model based on pre-training and fine-tuning strategies

Related Author

LIU Rushuai
YIN Shumeng
XU Guang
HUANG Zhixin
WANG Junyao
YUAN Xiangzhou
DENG Shuai
ZHAO Jie

Related Institution

State Key Laboratory of Chemical Safety, SINOPEC Research Institute of Safety Engineering Co., Ltd.
Department of Chemical and Biomolecular Engineering,Faculty of Engineering,National University of Singapore,Kent Ridge Crescent
Ministry of Education of Key Laboratory of Energy Thermal Conversion and Control, School of Energy and Environment, Southeast University
School of Materials and Energy, Guangdong University of Technology
Key Laboratory of Efficient Utilization of Low and Medium Grade Energy
0