Use of artificial neural networks for prediction of phase equilibria in the binary system containing carbon dioxide-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Use of artificial neural networks for prediction of phase equilibria in the binary system containing carbon dioxide

Published:2013-03 Issue: Volume:75 Page:144-151
ISSN:0896-8446
Container-title:The Journal of Supercritical Fluids
language:en
Short-container-title:The Journal of Supercritical Fluids

Author:

Lashkarbolooki Mostafa,Shafipour Zeinab Sadat,Hezave Ali Zeinolabedini,Farmani Hamid

Publisher

Elsevier BV

Subject

Physical and Theoretical Chemistry,Condensed Matter Physics,General Chemical Engineering

Reference45 articles.

1. Analytical Supercritical Fluid Chromatography and Extraction;Lee,1992

2. Phase equilibria for supercritical fluid process design;Brennecke;American Institute of Chemical Engineers J.,1989

3. Radical polymerization in supercritical carbon dioxide-use of supercritical carbon dioxide as a mixing assistant;Nishi;Chemical Engineering Science,2005

4. High pressure process technology-quo vadis?;Knez;Chemical Engineering Research and Design,2004

5. Vapor–liquid equilibria measurement of carbon dioxide+1-hexene and carbon dioxide+2-ethyl-1-butene systems at high pressure;Byun;Korean J. Chemical Engineering,2004

Cited by 49 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. Development of molten salt–based processes through thermodynamic evaluation assisted by machine learning;Chemical Engineering Science;2024-11

2. Solubility of lumiracoxib in supercritical carbon dioxide;Scientific Reports;2024-06-10

3. Modeling of hydrogen flow decompression from a storage by a two-stage Tesla valve: A hybrid approach of artificial neural network, response surface methodology, and genetic algorithm optimization;Journal of Energy Storage;2024-04

4. Research Advances in Machine Learning Techniques in Gas Hydrate Applications;ACS Omega;2024-01-19

5. Influence of thermodynamically consistent data on artificial neural network modeling: Application to NH3 solubility data in room temperature ionic liquids;Journal of Molecular Liquids;2023-12

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