A Robust Machine Learning Algorithm for the Prediction of Methane Adsorption in Nanoporous Materials
Author:
Affiliation:
1. Advanced Technology Division, Toyota Motor Europe NV/SA, Technical Center, Hoge Wei 33B, 1930 Zaventem, Belgium
2. Theoretical and Physical Chemistry Institute, National Hellenic Research Foundation, Vass. Constantinou 48, GR-11635 Athens, Greece
Funder
State Scholarships Foundation
Toyota Motor Corporation
European Social Fund
Ministry of Economy, Development and Tourism-Greece
Publisher
American Chemical Society (ACS)
Subject
Physical and Theoretical Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.jpca.9b03290
Reference23 articles.
1. Energy-based descriptors to rapidly predict hydrogen storage in metal–organic frameworks
2. Quantitative Structure–Property Relationship Models for Recognizing Metal Organic Frameworks (MOFs) with High CO 2 Working Capacity and CO 2 /CH 4 Selectivity for Methane Purification
3. Chemically intuited, large-scale screening of MOFs by machine learning techniques
4. Machine Learning Using Combined Structural and Chemical Descriptors for Prediction of Methane Adsorption Performance of Metal Organic Frameworks (MOFs)
5. Tsamardinos, I.; Fanourgakis, G. S.; Greasidou, L.; Klontzas, E.; Tsirlis, K.; Borboudakis, G.; Gkagkas, K.; Froudakis, G. E. An Automated Machine Learning architecture for the accelerated prediction of Metal-Organic Frameworks performance in energy and environmental applications. submitted 2019.
Cited by 68 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. From Data to Discovery: Recent Trends of Machine Learning in Metal–Organic Frameworks;JACS Au;2024-09-12
2. Combining machine learning and metal–organic frameworks research: Novel modeling, performance prediction, and materials discovery;Coordination Chemistry Reviews;2024-09
3. Computational and Machine Learning Methods for CO2 Capture Using Metal–Organic Frameworks;ACS Nano;2024-08-22
4. Machine learning-assisted screening of metal-organic frameworks (MOFs) for the removal of heavy metals in aqueous solution;Separation and Purification Technology;2024-07
5. COFNet: A deep learning model to predict the specific surface area of covalent-organic frameworks using structural images and statistic features;Chemical Physics Letters;2024-07
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