Development of Predictive Models for Activated Carbon Synthesis from Different Biomass for CO2 Adsorption Using Artificial Neural Networks-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Development of Predictive Models for Activated Carbon Synthesis from Different Biomass for CO2 Adsorption Using Artificial Neural Networks

Published:2021-09-20 Issue:38 Volume:60 Page:13950-13966
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Mashhadimoslem Hossein¹,Vafaeinia Milad²,Safarzadeh Mobin²,Ghaemi Ahad¹^ORCID,Fathalian Farnoush¹,Maleki Ali³^ORCID

Affiliation:

1. School of Chemical, Petroleum and Gas Engineering, Iran University of Science and Technology (IUST), Narmak, 16846 Tehran, Iran

2. Nanotechnology Department, School of Advanced Technologies, Iran University of Science and Technology (IUST), Narmak, 16846 Tehran, Iran

3. Catalysts and Organic Synthesis Research Laboratory, Department of Chemistry, Iran University of Science and Technology, 16846-13114 Tehran, Iran

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.1c02754

Reference101 articles.

1. The swing adsorption reactor cluster for post-combustion CO2 capture from cement plants

2. Biomass derived porous carbon for efficient capture of carbon dioxide, organic contaminants and volatile iodine with exceptionally high uptake

3. Heteroatom-doped porous carbons exhibit superior CO2 capture and CO2/N2 selectivity: Understanding the contribution of functional groups and pore structure

4. Emerging trends in porous materials for CO2 capture and conversion

5. Activated carbon produced from paulownia sawdust for high-performance CO2 sorbents

Cited by 59 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Recent progress on advanced solid adsorbents for CO2 capture: From mechanism to machine learning;Materials Today Sustainability;2024-09

2. Analysis of effective area and mass transfer in a structure packing column using machine learning and response surface methodology;Scientific Reports;2024-08-24

3. Computational and Machine Learning Methods for CO₂ Capture Using Metal–Organic Frameworks;ACS Nano;2024-08-22

4. The Role of Transition Metals on CeO₂ Supported for CO₂ Adsorption by DFT and Machine Learning Analysis;Industrial & Engineering Chemistry Research;2024-06-14

5. Synthesis of polymeric ferrite composites (Ni-CoFe2O4/Chitosan, Zn-NiFe2O4/Starch, Co-NiZnFe2O4/Polyaniline, Ni doped CrZnFe2O4/Alginate, and Cr doped ZnCoFe2O4/PVA) for the removal of reactive golden yellow-160 dye from wastewater;Journal of Environmental Chemical Engineering;2024-06

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3