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This study highlights a breakthrough in wastewater treatment using defects-rich MgFe LDH. Enhanced by selective etching, these materials have more active sites, boosting their ability to adsorb methyl orange (MO) dye efficiently. The specially engineered MgFe LDH variants achieved much higher adsorption capacities, reaching up to 1722 mg·g-1. This makes them a promising, cost-effective solution for effective dye removal from wastewater, offering both high capacity and environmental benefits. (See Chunmei Zhu et al., Pages 63-73)
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When 1,3-butadiene undergoes dicarbonylation, complexes of Pd and the bidentate diphosphine ligand, DTBPX, act as catalytically active species, which makes the reaction more inclined to produce linear diester products. Density functional theory (DFT) calculations at the PBE0-D3 (BJ) level demonstrate this experimental phenomenon. (See Zhongxian Yu et al., Pages 92-99)
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At present, neural networks are widely used in chemical simulation process to improve the simulation accuracy, but generally the obtained mixed model or black-box model loses part of the interpretability. In this paper, a two-layer neural network structure is proposed to correct the parameters of mechanism model that are difficult to be measured in the actual process as an example of the batch distillation process, and finally achieve the purpose of improving the accuracy of the pure mechanism model and maintaining the advantage of high interpretability. (See Xiaoyu Zhou et al., Pages 290-300)
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Density and heat capacity are important pure properties for solvent development. In this work, ionic liquids (ILs) are divided into three different parts. Then, three different machine learning algorithms (ANN, XGBoost and LightGBM) are integrated with the group contribution method for the properties modelling of ILs-water binary systems with the molecular structure, temperature, pressure and ILs concentration as the model inputs, density and heat capacity as the outputs. The optimal algorithm is selected by comparing the predicted performance of the different models. Finally, SHAP model is applied to analyze the significance of each parameters and structure for the prediction performance. (See Yingxue Fu, et al., Pages 244-255)
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28 October 2024, Volume 74 Issue 10
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Permeation characteristics of light hydrocarbons through Poly(amide-6-b-ethylene oxide) multilayer composite membranes PDF (0KB) Heat Transfer Behavior in a Square Duct with Tandem Wire Coil Element Insert PDF (0KB) 基于ARX-NNPLS模型的优化策略及在聚合物牌号切换过程中的应用ARX-NNPLS PDF (0KB) 甲烷/乙烯/空气预混火焰层流燃烧速度与火焰稳定性的数值研究 PDF (0KB) Advances in LES Studies on Two-Phase Combustion--Part II: LES of Complex Engineering Gas-Particle Flows and Coal Combustion PDF (0KB) Lixing Zhou - [an error occurred while processing this directive]
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中国化学工程学报 -
» Numerical Study of Solid-Liquid Two-Phase Flow in Stirred Tanks with Rushton Impeller (I) Formulation and Simulation of Flow Field WANG Feng, WANG Weijing, MAO Zaishao . 2004 Vol. 12 (5): 599-609 Cited by: Baidu(91) » Kinetics of Non-catalyzed Decomposition of Glucose in High-temperature Liquid Water JING Qi, LÜ Xiuyang . 2008 Vol. 16 (6): 890-894 Cited by: Baidu(83) » Prediction of Flash Point Temperature of Organic Compounds Using a Hybrid Method of Group Contribution+Neural Network+Particle Swarm Optimization Juan A. Lazzús . 2010 Vol. 18 (5): 817-823 Cited by: Baidu(62) » Gas-Liquid Microreaction Technology:Recent Developments and Future Challenges CHEN Guangwen, YUE Jun, YUAN Quan Chin.J.Chem.Eng.. 2008 Vol. 16 (5): 663-669 Cited by: Baidu(59)
Journal Introduction
Started in 1982(Monthly)
Editor-in-Chief:FEI Weiyang
Executive Editor-in-Chief: LUO Guangsheng
Sponsored: Chemical Industry and Engineering Society of China,
Chemical Industry Press Co., Ltd.
ISSN: 1004-9541
CN: 11-3270/TQ
Editor-in-Chief:FEI Weiyang
Executive Editor-in-Chief: LUO Guangsheng
Sponsored: Chemical Industry and Engineering Society of China,
Chemical Industry Press Co., Ltd.
ISSN: 1004-9541
CN: 11-3270/TQ
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