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Design strategies and structure‐performance relationships of heterogeneous catalysts for selective hydrogenation of 1,3‐butadiene 被引量:2
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作者 Mengru Wang Yi Wang +2 位作者 Xiaoling Mou Ronghe Lin Yunjie Ding 《Chinese Journal of Catalysis》 SCIE EI CAS CSCD 2022年第4期1017-1041,共25页
Selective hydrogenation of 1,3‐butadiene is an essential process in the upgrading of the crude C4 cut from the petroleum chemical sector.Catalyst design is crucial to achieve a virtually alkadiene‐free product while... Selective hydrogenation of 1,3‐butadiene is an essential process in the upgrading of the crude C4 cut from the petroleum chemical sector.Catalyst design is crucial to achieve a virtually alkadiene‐free product while avoiding over‐hydrogenating valuable olefins.In addition to the great industrial relevance,this demanding selectivity pattern renders 1,3‐butadiene hydrogenation a widely used model reaction to discriminate selective hydrogenation catalysts in academia.Nonetheless,critical reviews on the catalyst development are extremely lacking in literature.In this review,we aim to provide the reader an in‐depth overview of different catalyst families,particularly the precious metal‐based monometallic catalysts(Pd,Pt,and Au),developed in the last half century.The emphasis is placed on the development of new strategies to design high‐performance architectures,the establishment of structure‐performance relationships,and the reaction and deactivation mechanisms.Thrilling directions for future optimization of catalyst formulations and engineering aspect are also provided. 展开更多
关键词 1 3‐Butadiene Catalyst design Selective hydrogenation structureperformance relationship Reaction and deactivation mechanism
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Precision Catalysis in Dehydrogenation of Liquid Organic Hydrogen Carriers:Molecular Structure-Geometry-Electronic Interplay for Enhanced Hydrogen Evolution
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作者 Yongxiao Tuo Jingying Qu +6 位作者 Huailu Sun Hongwei Gai Xiangyuan Qu Junlun Zhu Xiaohui Sun De Chen Xiang Feng 《Carbon Energy》 2026年第3期225-260,共36页
The advancement of hydrogen-based energy systems necessitates innovative solutions for safe,efficient hydrogen storage and transportation.Liquid organic hydrogen carriers(LOHCs)emerge as a transformative technology by... The advancement of hydrogen-based energy systems necessitates innovative solutions for safe,efficient hydrogen storage and transportation.Liquid organic hydrogen carriers(LOHCs)emerge as a transformative technology by combining high hydrogen capacity,excellent stability,and seamless integration with existing fuel infrastructure,enabling large-scale,long-distance hydrogen logistics.Despite these merits,challenges in dehydrogenation kinetics and catalyst instability impede practical deployment.Herein,we present a comprehensive mechanistic review of dehydrogenation pathways across diverse LOHC platforms,including cyclohexane,methylcyclohexane,decalin,dodecahydro-N-ethylcarbazole,perhydro-dibenzyltoluene/benzyltoluene,bicyclohexyl,and indole-based LOHCs.Compared with previous reviews,this study integrates geometric and electronic effects across multiple LOHC systems to identify cross-cutting structure-activity principles.Building on this framework,it further reveals reactant-dependent rules for active-site regulation,where the molecular architecture of hydrogen carriers critically determines the required catalyst characteristics.This perspective establishes a unified framework that links molecular descriptors to coordination-specific active sites,thereby advancing precision catalyst design for next-generation LOHC technologies. 展开更多
关键词 electronic effect geometric effect LOHC dehydrogenation metal catalyst structureperformance relationship
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An integrated approach to the key parameters in methanol‐to‐olefins reaction catalyzed by MFI/MEL zeolite materials 被引量:1
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作者 Chuncheng Liu Evgeny A.Uslamin +5 位作者 Sophie H.van Vreeswijk Irina Yarulina Swapna Ganapathy Bert M.Weckhuysen Freek Kapteijn Evgeny A.Pidko 《Chinese Journal of Catalysis》 SCIE EI CAS CSCD 2022年第7期1879-1893,共15页
Identification of the catalyst characteristics correlating with the key performance parameters including selectivity and stability is key to the rational catalyst design. Herein we focused on the identification of pro... Identification of the catalyst characteristics correlating with the key performance parameters including selectivity and stability is key to the rational catalyst design. Herein we focused on the identification of property-performance relationships in the methanol-to-olefin(MTO) process by studying in detail the catalytic behaviour of MFI, MEL and their respective intergrowth zeolites. The detailed material characterization reveals that both the high production of propylene and butylenes and the large Me OH conversion capacity correlate with the enrichment of lattice Al sites in the channels of the pentasil structure as identified by 27 Al MAS NMR and 3-methylpentane cracking results. The lack of correlation between MTO performance and other catalyst characteristics, such as crystal size, presence of external Brønsted acid sites and Al pairing suggests their less pronounced role in defining the propylene selectivity. Our analysis reveals that catalyst deactivation is rather complex and is strongly affected by the enrichment of lattice Al in the intersections, the overall Al-content, and crystal size. The intergrowth of MFI and MEL phases accelerates the catalyst deactivation rate. 展开更多
关键词 structureperformance relationship Zeolite catalysis Methanol‐to‐olefin conversion Al‐distribution ACIDITY Intergrowth MFI/MEL Pentasil
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Virtual characterization via knowledgeenhanced representation learning:from organic conjugated molecules to devices
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作者 Guojiang Zhao Qi Ou +15 位作者 Zifeng Zhao Shangqian Chen Haitao Lin Xiaohong Ji Zhen Wang Hongshuai Wang Hengxing Cai Lirong Wu Shuqi Lu FengTianCi Yang Yaping Wen Yingfeng Zhang Haibo Ma Zhifeng Gao Zheng Cheng Weinan E 《npj Computational Materials》 2025年第1期3337-3346,共10页
The rational design of organic functional devices relies on understanding structure-propertyperformance relationships through multi-scale characterization.However,traditional characterizations are costly and require m... The rational design of organic functional devices relies on understanding structure-propertyperformance relationships through multi-scale characterization.However,traditional characterizations are costly and require multidisciplinary expertise.Here we present OCNet,a domain-knowledge-enhanced representation learning framework that,for the first time,enables unified virtual characterization from molecules to devices.Pre-trained on over ten million selfgenerated conjugated molecules and dimers,OCNet learns generalizable microscopic representations comparable to expert-crafted features.As a result,it surpasses state-of-the-art models by over 20%in predicting key computed and experimental molecular optoelectronic properties.OCNet further provides the first transferable model for predicting transfer integrals in thin films,enabling accurate mesoscale carrier mobility estimation via multiscale simulations.By integrating tight-binding-level electronic descriptors,OCNet achieves near real-time,accurate prediction of device power conversion efficiency.Together,OCNet offers a unified and scalable foundation for virtual characterization of organic materials across multiple scales,with broad applicability in photovoltaics,displays,and sensing. 展开更多
关键词 virtual characterization structure property performance relationships multi scale characterization organic functional devices knowledge enhanced representation learning ocnet unified virtual characterization domain knowledge enhanced
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Insights into electrocatalysis through in situ electrochemical surface-enhanced Raman spectroscopy
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作者 Xiu-Mei Lin Yu-Lin Sun +2 位作者 Yan-Xin Chen Shun-Xing Li Jian-Feng Li 《eScience》 2025年第6期1-20,共20页
Electrocatalysis plays an essential role in sustainable energy conversion technologies such as fuel cells,water electrolysis,and the carbon dioxide reduction reaction that occurs at solid–liquid interfaces.However,du... Electrocatalysis plays an essential role in sustainable energy conversion technologies such as fuel cells,water electrolysis,and the carbon dioxide reduction reaction that occurs at solid–liquid interfaces.However,due to the complexity of the respective electrochemical interfaces and trace amounts of interfacial species,researchers’knowledge of these reaction mechanisms remains incomplete,limiting our ability to improve electrocatalytic performance.In situ electrochemical surface-enhanced Raman spectroscopy(EC-SERS)has proven to have appealing potential for the study of electrocatalytic reaction mechanisms because it can provide exceptionally sensitive fingerprint vibrational spectroscopic information about interfacial species and their interactions.This review offers insights into electrocatalysis through in situ EC-SERS.We begin with an introduction to the basic principles,substrate engineering,and the implementation of in situ EC-SERS for electrocatalysis,with an emphasis on capturing trace interfacial species and determining the capability of this technique.We then discuss fundamentals,still-debated mechanistic issues,as well as advanced applications of EC-SERS for mechanism studies of the fundamentally and practically important reactions in sustainable energy conversion technologies,to gain insights into electrocatalysis.Finally,we propose directions for the future development of in situ EC-SERS in catalysis.Through this review paper,we aim to attract greater attention to the use of in situ EC-SERS in catalysis studies and introduce versatile methodologies and techniques for catalytic studies that will result in superior performance. 展开更多
关键词 Electrochemical surface-enhanced Raman spectroscopy (EC-SERS)Electrocatalysis In situ Interfacial species structureperformance relationship
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