作者:Gu, Tingting1; Li, Qu1; Li, ZuZe1; Zhao, Haoyu1; Jiao, Qingze1, 2; Zhao, Yun1; Li, Hansheng1; Zhang, Yaoyuan1; Feng, Caihong1; (1Beijing Key Laboratory for Chemical Power Source and Green Catalysis, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing; 100081, China;2School of Materials and Environment, Beijing Institute of Technology, Zhuhai; 519085, China)
出处:SSRN 2022
摘要:As one of the candidates for next-generation energy conversion systems, lithium-sulfur (Li-S) batteries have attracted extensive research interest due ...
作者:Chen, Jing1;Yang, Jiakun1;Wu, Qin1;Shi, Daxin1;Chen, Kangcheng1;Zhang, Yaoyuan1;Zheng, Xiaoyan1;Li, Hansheng1; (1Beijing Key Laboratory for Chemical Power Source and Green Catalysis, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing; 100081, China)
出处:SSRN 2022
摘要:The cycloaddition reaction of CO2 with epoxides is challenging, thereby requiring the development of environmentally friendly catalyst. Herein, a stra ...
作者:Quan, Hong 1 ;Dong, Shoulong 1 ; ;Zhao, Dongfang 1 ;Li, Hansheng 1 ;Geng, Junming 1 ;Liu, Helei 2 ; (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 ...
作者:吕扬平1;,张耀远1;,王瑞浦2;,吴芹1;,史大昕1;,陈康成1;,黎汉生1; (1北京理工大学化学与化工学院;2中国石油石油化工研究所)
出处:工业催化 2024
关键词:催化剂工程;逆水汽变换;Cu基催化剂;稳定性;失活
摘要:逆水汽变换(RWGS)反应是将CO2转化为化学品或碳氢化合物的关键步骤,在CO2资源化利用中发挥着重要作用。综述逆水汽变换反应的热力学分析、反应机理,以及近十年来国内外逆水汽变换反应催化剂的研究进展。总结发现,Cu基催化剂具有低成本、高活性和高CO选择性优 ...
作者:张耀远,吕扬平,张锟,贾淑君,吴芹,史大昕,陈康成,黎汉生 (北京理工大学化学与化工学院;中国北方车辆研究所)
出处:工业催化 2024
关键词:有机化学工程;催化裂解;正癸烷;低碳烯烃;芳烃;超临界状态
摘要:以HZSM-5分子筛为原料,制备具有微米及纳米尺寸的HZSM-5/MCM-41微孔-介孔复合分子筛催化剂。通过调节反应压力,探究催化剂在不同反应条件下对正癸烷催化裂解反应的影响。结果表明,在低压条件下,反应流体密度随系统压力升高而增大,有利于低碳烯烃芳构化,从而使得低碳烯烃选择性降低;当压力进一步增 ...
作者:李妍,吴芹,陈康成,张耀远,史大昕,黎汉生 (北京理工大学化学与化工学院)
出处:化工进展 2024
关键词:膜分离;渗透汽化;聚酰亚胺;改性;有机溶剂;脱水
摘要:聚酰亚胺有机高分子聚合物结构内含有氢键,且具有良好的耐溶剂性、易成膜性、高力学性能等优点。聚酰亚胺膜有望在渗透汽化有机溶剂脱水领域得到广泛应用。然而,聚酰亚胺膜高分子链间作用力强,链段排列紧密,往往造成溶剂分子渗透困难、渗透通量低等问题,限制其发展。对聚酰亚胺膜开展改性研究,以提高其渗透通量,同时保 ...
作者:Xiao Zhang1,2;Menglin Zhang1;Xinyuan Li1;Baoping Xin3;Jie Hao2;Jinying Li1;Hansheng Li1;Dongxiang Zhang1,4;Zijie Wu2;
出处:Chemical Engineering Journal 2024
摘要:The risk of radionuclide leakage always threats ecological security and human health, making the recovery of uranium from nuclear wastewater a meaning ...
作者:史大昕,李爱如,方祝青,李继娟,矫庆泽,吴芹,冯彩虹,赵芸,黎汉生 (北京理工大学化学与化工学院;北京理工大学材料学院)
出处:化工学报 2020
关键词:双环戊二烯;加氢;耐硫特性;钼;镍基催化剂
摘要:研究了钼元素及其添加量对镍基催化剂在双环戊二烯(DCPD)加氢反应中耐硫特性的影响规律。催化剂∶DCPD=1∶10,反应温度150℃,压力3.5MPa,转速600r/min,噻吩浓度为:500mg/L时,Ni/gamma-Al_2O_3催化剂的双环戊二烯8、9位双键的加氢速率显著降低,3、4位双键的 ...
作者:任健,矫庆泽,王彤,耿云峰,黎汉生,吴芹,史大昕,赵芸,冯彩虹 (北京理工大学化学与化工学院;北京北大先锋科技有限公司)
出处:无机化学学报 2021
关键词:还原脱硫;一氧化碳;二氧化硫;等容浸渍法;二氧化铈
摘要:采用等容浸渍法引入少量CeO_2助剂制备了CoMoS_x/CeO_2-gamma-Al_2O_3催化剂。通过X射线衍射(XRD)、高角环形暗场像-扫描透射电子显微镜(HAADF-STEM)、X射线光电子能谱(XPS)、程序升温脱附/程序升温还原/程序升温表面反应(TPD/TPR/TPSR)对催化剂的 ...
作者:Jing Chen1;Qin Wu1;
出处:Chemical Engineering Science 2025
关键词:Hydrogen bond donors;Magnetic ionic liquid catalyst;Intramolecular multicenter synergism;CO2 cycloaddition;Density functional theory
摘要:The design of catalysts for the mile production of cyclic carbonates by CO2 cycloaddition is of value. Magnetic polymer nanoparticles-suppo ...