合作者关系

[外文期刊] An overview on the corrosion mechanisms and inhibition techniques for amine-based post-combustion carbon capture process SCIE EI

作者：Feng Zhao;Caixiang Cui;Shoulong Dong;Xiyan Xu;Helei Liu （[a]International Carbon Capture and Utilization Innovation Institute, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 102488, PR ChinaInternational Carbon Capture and Utilization Innovation Institute, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 102488, PR China[b]School of Petroleum and Environmental Engineering, Yan\'an University, Yan\'an, Shaanxi 716000, PR ChinaSchool of Petroleum and Environmental Engineering, Yan\'an University, Yan\'an, Shaanxi 716000, PR China[c]School of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao, Shandong 266580, PR ChinaSchool of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao, Shandong 266580, PR China\';¹\'1Those two authors contribute to this work equally.）

出处：Separation & Purification Technology 2023

关键词：Carbon capture;Amines;Corrosion;Corrosion inhibition;Mechanism

摘要：Among the available carbon capture technologies, post-combustion carbon capture based on amine has become a well-proven and efficient means of reducin ...

[外文期刊] Generic AI models for mass transfer coefficient prediction in amine-based CO₂ absorber, Part I: BPNN model

作者：Shoulong Dong¹;Hong Quan¹;Dongfang Zhao¹;Hansheng Li¹;Junming Geng¹;Helei Liu^1,2;CA1,2,3 （¹International Innovation Institute of Carbon Capture and Utilization (I3CCU), School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 102488, PR China;²Department of Chemical and Biological Engineering, The University of British Columbia, Vancouver, British Columbia V6T 1Z3, Canada）

出处：Chemical Engineering Science 2022

关键词：CO₂ capture;Absorption;Mass transfer;Artificial intelligence (AI);Back-propagation neural network (BPNN)

摘要：Accurate and reliable prediction of mass transfer coefficient is critical to evaluate the mass transfer performance of amine-based carbon capture proc ...

[外文期刊] Feature analysis of generic AI models for CO₂ equilibrium solubility into amines systems SCIE EI

作者：Ting Lan¹;Dong, Shoulong¹; ;Luo, Hui¹;Bai, Liju¹;Liu, Helei²; （¹ International Innovation Institute of Carbon Capture and Utilization (I3CCU), School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, China ² International Innovation Institute of Carbon Capture and Utilization (I3CCU), School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, China; Department of Chemical and Biological Engineering, The University of British Columbia, Vancouver, British Columbia, Canada ）

出处：American Institute of Chemical Engineers. AIChE Journal 2024

关键词：amines;artificial intelligence (AI) models;CO 2 capture;feature analysis;solubility

摘要：Reported models have disadvantages such as poor prediction accuracy and time‐consuming. And they can not reflect the impact of chemical reactions on C ...

[外文期刊] Generic AI models for mass transfer coefficient prediction in amine‐based CO₂ absorber, Part II: RBFNN and RF model

作者：Quan, Hong¹;Dong, Shoulong¹; ;Zhao, Dongfang¹;Li, Hansheng¹;Geng, Junming¹;Liu, Helei²; （¹ International Innovation Institute of Carbon Capture and Utilization (I3CCU), School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, People\'s Republic of China ² International Innovation Institute of Carbon Capture and Utilization (I3CCU), School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, People\'s Republic of China; Department of Chemical and Biological Engineering, The University of British Columbia, Vancouver, British Columbia, Canada ）

出处：American Institute of Chemical Engineers. AIChE Journal 2023

关键词：absorption;CO 2 capture;machine learning (ML);mass transfer;radial basis function neural network (RBFNN);random forest (RF);Carbon capture;Mass transfer coefficient;Random forest;Amine;Carbon dioxide

摘要：In this work, the radial basis function neural network (RBFNN) and random forest (RF) algorithms were employed to develop generic AI models predicting ...

[外文期刊] AI models for correlation of physical properties in system of 1DMA2P‐CO₂‐H₂O

作者：Liu, Helei¹; ;Jiang, Xiaotong²;Idem, Raphael³; ;Dong, Shoulong²; ;Tontiwachwuthikul, Paitoon³; （¹ International Innovation Institute of Carbon Capture and Utilization (I3CCU), School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, China; The Clean Energy Technologies Research Institute (CETRI), University of Regina, Regina, Saskatchewan, Canada; Department of Chemical and Biological Engineering, The University of British Columbia, Vancouver, British Columbia, Canada ² International Innovation Institute of Carbon Capture and Utilization (I3CCU), School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, China ³ The Clean Energy Technologies Research Institute (CETRI), University of Regina, Regina, Saskatchewan, Canada ）

出处：American Institute of Chemical Engineers. AIChE Journal 2022

关键词：1DMA2P;ANN models;CO 2 loading;empirical model;physical properties;Correlation;Artificial neural network;Carbon dioxide;Empirical modelling

摘要：In this work, the density, viscosity, and specific heat capacity of pure 1‐dimethylamino‐2‐propanol (1DMA2P) as well as aqueous unloaded and CO_{2<
...}

[外文期刊] Comprehensive reaction kinetics model of CO₂ absorption into 1‐dimethylamino‐2‐propanol solution

作者：Liu, Helei¹; ;Jiang, Xiaotong²;Idem, Raphael³; ;Dong, Shoulong²; ;Tontiwachwuthikul, Paitoon³; （¹ International Innovation Institute of Carbon Capture and Utilization (I3CCU), School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, People\'s Republic of China; The Clean Energy Technologies Research Institute (CETRI), University of Regina, Regina, Saskatchewan, Canada; Department of Chemical and Biological Engineering, The University of British Columbia, Vancouver, British Columbia, Canada ² International Innovation Institute of Carbon Capture and Utilization (I3CCU), School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, People\'s Republic of China ³ The Clean Energy Technologies Research Institute (CETRI), University of Regina, Regina, Saskatchewan, Canada ）

出处：American Institute of Chemical Engineers. AIChE Journal 2022

关键词：absorption;amines;CO 2;reaction kinetics;Chemical kinetics;Carbon dioxide;Computational fluid dynamics

摘要：In the present work, the kinetics of the reactive absorption of CO₂ in 1‐dimethylamino‐2‐propanol (1DMA2P) solution were experimentally mea ...