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Secure Collaborative Learning for Self-Adaptive Systems on Connected Autonomous Vehicles

ACM Transactions on Autonomous and Adaptive Systems 1000年

作者： Xiaotong Wu Yuwen Liu Xiaoxiao Chi Rong Jiang Xiaokang Zhou Wajid Rafique Maqbool Khan Alibaba Business School Hangzhou Normal University China College of Computer Science and Technology China University of Petroleum (East China) China Department of Computing Macquarie University Australia Yunnan Key Laboratory of Service Computing Yunnan University of Finance and Economics China Faculty of Business Data Science Kansai University Japan and RIKEN Center for Advanced Intelligence Project Japan Department of Electrical and Software Engineering University of Calgary Canada Software Competence Center Hagenberg Austria

As an advanced carrier of on-board sensors, connected autonomous vehicle (CAV) can be viewed as an aggregation of self-adaptive systems with monitor-analyze-plan-execute (MAPE) for vehicle-related services. Meanwhile, machine learning (ML) has been applied to enhance analysis and plan functions of MAPE so that self-adaptive systems have optimal adaption to changing conditions. However, most of ML-based approaches don’t utilize CAVs’ connectivity to collaboratively generate an optimal learner for MAPE, because of sensor data threatened by gradient leakage attack (GLA). In this article, we first design an intelligent architecture for MAPE-based self-adaptive systems on Web 3.0-based CAVs, in which a collaborative machine learner supports the capabilities of managing systems. Then, we observe by practical experiments that importance sampling of sparse vector technique (SVT) approaches cannot defend GLA well. Next, we propose a fine-grained SVT approach to secure the learner in MAPE-based self-adaptive systems, that uses layer and gradient sampling to select uniform and important gradients. At last, extensive experiments show that our private learner spends a slight utility cost for MAPE (e.g., \(0.77\%\) decrease in accuracy) defending GLA and outperforms the typical SVT approaches in terms of defense (increased by \(10\%\sim 14\%\) attack success rate) and utility (decreased by \(1.29\%\) accuracy loss).

关键词： collaborative learning optimal adaption vehicle application data security self-adaptive system

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An Interdisciplinary Survey on Information Flows in Supply Chains

arXiv

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arXiv 2023年

作者： Pennekamp, Jan Matzutt, Roman Klinkmüller, Christopher Bader, Lennart Serror, Martin Wagner, Eric Malik, Sidra Spib, Maria Rahn, Jessica Gürpinar, Tan Vlad, Eduard Leemans, Sander J.J. Kanhere, Salil S. Stich, Volker Wehrle, Klaus RWTH Aachen University Ahornstrasse 55 Aachen North Rhine-Westphalia 52074 Germany BPMotion 10 Gore Ave KirraweeNSW2232 Australia Cyber Analysis & Defense Fraunhofer FKIE Fraunhofer-straße 20 North Rhine-Westphalia Wachtberg53343 Germany Software Systems Research Group Data61 CSIRO Level 5/13 Garden St EveleighNSW2015 Australia Institute for Industrial Management RWTH Aachen University Campus-Boulevard 55 North Rhine-Westphalia Aachen52074 Germany Supply Chain Development and Strategy Fraunhofer IML Joseph-von-Fraunhofer-Straße 2-4 North Rhine-Westphalia Dortmund44227 Germany School of Computer Science and Engineering University of New South Wales Engineering Rd SydneyNSW2052 Australia

Supply chains form the backbone of modern economies and therefore require reliable information flows. In practice, however, supply chains face severe technical challenges, especially regarding security and privacy. In this work, we consolidate studies from supply chain management, information systems, and computer science from 2010–2021 in an interdisciplinary meta-survey to make this topic holistically accessible to interdisciplinary research. In particular, we identify a significant potential for computer scientists to remedy technical challenges and improve the robustness of information flows. We subsequently present a concise information flow-focused taxonomy for supply chains before discussing future research directions to provide possible entry points. Copyright © 2023, The Authors. All rights reserved.

关键词： Supply chain management

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Mask R-CNN with R-D Net: A Detection and Segmentation Model for Early Gastric Cancer Gastroscopy Images

Mask R-CNN with R-D Net: A Detection and Segmentation Model ...

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Electronic Information engineering and Computer science (EIECS), 2021 International Conference on

作者： Tao Liang Yi Lei Wenai Song Xue Sun Jun Du Qing Wang Li Zhao School of Software Engineering North University of China Taiyuan China Faculty of Information Technology Beijing University of Technology Beijing China VIP Department and Family Medicine Department Beijing Hospital National Center of Gerontology Institute of Geriatric Medicine Chinese Academy of Medical Sciences Beijing China Department of Pathology Beijing Hospital National Center of Gerontology Institute of Geriatric Medicine Chinese Academy of Medical Sciences Beijing China Pharmacovigilance Research Center for Information Technology and Data Science Cross-Strait Tsinghua Research Institute Xiamen China Department of Automation Tsinghua University Beijing China Department of Gastroenterology Beijing Hospital National Center of Gerontology Institute of Geriatric Medicine Chinese Academy of Medical Sciences Beijing China

Gastric cancer is one of the most common malignant tumors of the digestive system. Although gastroscopy can effectively detect early cancers, manual identification and diagnosis is time-consuming and laborious, and the false-negative rate is as high as 4.6-25.8%. Early gastric cancer lesion areas can be detected and segmented using deep learning techniques. We collected and organized 12665 eligible gastroscopy images, and cropped and expanded the original dataset after labeling by professional doctors, and finally obtained 19673 images for model training. We propose ResMSE Net and DWFF Net and apply these two networks to Mask R-CNN to obtain a new model: Mask R-CNN With R-D Net. On the same standard dataset, the mAP@[IoU=0.5] and ACC values of the Mask R-CNN With R-D Net model achieve respectively 45.37% and 67.74%, which are improved by 5.83% and 9.08%, respectively, compared with the original model. In our experiments, we found that Mask R-CNN With R-D Net is difficult to detect targets that are extremely similar to the background, which is the direction of our future work. Secondly, we hope to minimize the number of model parameters and make the model more lightweight under the premise of ensuring accuracy, so that the model can be embedded into gastroscopy detection equipment for real-time detection.

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Low-Cost Fully Non-fused Ring Acceptor Enables Efficient Organic Photovoltaic Modules for Multi-Scene Applications

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Angewandte Chemie 2023年第50期135卷

作者： Jianqiu Wang Yafei Wang Jiayao Li Yue Yu Pengqing Bi Jiawei Qiao Zhihao Chen Chaoyi Wang Wenxuan Wang Jiangbo Dai Xiaotao Hao Shaoqing Zhang Jianhui Hou State Key Laboratory of Polymer Physics and Chemistry Beijing National Laboratory for Molecular Sciences Institute of Chemistry Chinese Academy of Sciences Beijing 100190 China Contribution: Data curation (lead) Project administration (supporting) Software (lead) Writing - original draft (lead) University of Chinese Academy of Sciences Beijing 100049 China Contribution: Data curation (equal) Contribution: Data curation (equal) Formal analysis (equal) School of Physics State Key Laboratory of Crystal Materials Shandong University Jinan Shandong 250100 China Contribution: Investigation (supporting) School of Chemistry and Biology Engineering University of Science and Technology Beijing Beijing 100083 China Contribution: Data curation (supporting) Contribution: Data curation (supporting) Investigation (supporting)

Organic photovoltaic (OPV) cells, with highly tunable light-response ranges, offer significant potential for use in driving low-power consumption off-grid electronics in multi-scenarios. However, development of photoactive layer materials that can meet simultaneously the requirements of diverse irradiation conditions is a still challenging task. Herein, a low-cost fully non-fused acceptor (denoted as GS60) featuring well-matched absorption spectra with solar, scattered light and artificial light radiation was designed and synthesized. Systematic characterizations revealed that GS60 possessed outstanding photoelectron properties and ideal morphology, which resulted in reduced voltage loss and suppressed charge recombination. By blending with a non-fused ring polymer PTVT−T, the as-obtained GS60 based OPV cells achieved a good power conversion efficiency (PCE) of 14.1 %, a high value for the cells based on non-fused ring bulk heterojunction. Besides, manufactured large-area OPV modules based on PTVT−T:GS60 yielded PCEs of 11.2 %, 11.8 %, 12.1 %, 23.1 %, and 20.3 % under irradiation of AM 1.5G, natural light of cloudy weather, natural light in shadow, laser and indoor, respectively. The PTVT−T:GS60 devices exhibited considerable potential in terms of improving photostability and reducing material cost. Overall, this work provides novel insight into the molecular design of low-cost non-fused ring acceptors, and extended potential of medium band gap acceptors based OPV cells used in various application scenarios.

关键词： Low Light Module Multi-Scene Non-Fused Ring Acceptor Organic Photovoltaic Cells

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Towards Automated Microfluidic-based Platforms: Optimizing Hydrogenation Efficiency of Nitrobenzene through π–π Interactions in Pd Nanoparticles on Covalent Organic Frameworks

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Angewandte Chemie 2023年第23期135卷

作者： Juan Deng Yueji Cai Jingsheng Chen Qing Wang Jun Lu Xiao Chen Wuxiang Zhang Kangjie Wu Dr. Weikang Wang Lingfei Wei Fu Yang Aihua Yuan Prof. Huan Pang Prof. Chao Yu School of Environmental and Chemical Engineering Jiangsu University of Science and Technology Zhenjiang Jiangsu 212003 China Contribution: Data curation (lead) Investigation (lead) Writing - original draft (lead) Writing - review & editing (lead) Contribution: Data curation (lead) Methodology (lead) Validation (lead) Writing - original draft (equal) Writing - review & editing (equal) Contribution: Data curation (equal) Methodology (equal) Contribution: Data curation (equal) Supervision (equal) Contribution: Conceptualization (equal) Software (lead) Writing - original draft (supporting) Writing - review & editing (supporting) Contribution: Conceptualization (equal) Supervision (equal) Writing - original draft (supporting) Writing - review & editing (supporting) Contribution: Methodology (equal) Contribution: Data curation (supporting) Investigation (equal) School of Materials Science and Engineering Jiangsu University Zhenjiang Jiangsu 212013 China Contribution: Conceptualization (equal) Data curation (supporting) Contribution: Conceptualization (equal) Contribution: Supervision (equal) Contribution: Supervision (supporting) School of Chemistry and Chemical Engineering Yangzhou University Yangzhou 225009 Jiangsu China Contribution: Conceptualization (lead) Supervision (lead)

Microplatform with timed automata has been leveraged for guiding the preparation of molecules, whereas the requirement of handling expertise and sophisticated instrument is inevitable in combination with heterogeneous catalysis. Here we report a microfluidic-based autolab with open structures, called Put & Play Automated Microplatform (PPAM). It shows the efficient hydrogenation performance of palladium nanoparticles on the triphenylene-based covalent organic frameworks (Pd/TP-COFs) in which the π–π interactions of TP rings in the vicinity of Pd is optimized by easy change-over of catalyst and simple tuning of reactor geometries in PPAM. Using experiment/simulation of the Pd/TP-COFs coating (PCC) and mixing (PCM) across PPAM with different channel sizes, the turnover frequencies are 60 times the commonly used batch reactor, and aniline productivity of 8.8 g h −1 is achieved in 0.09 cm 3 . This work will raise awareness about the benefits of the catalyst-loaded microplatform in future materials performance campaigns.

关键词： Covalent Organic Framework Heterogeneous Catalyst Microplatform

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Reversing Free-Electron Transfer of MoS2+xCocatalyst for Optimizing Antibonding-Orbital Occupancy Enables High Photocatalytic H2Evolution

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Angewandte Chemie 2023年第25期135卷

作者： Duoduo Gao Pinsi Deng Dr. Jianjun Zhang Prof. Liuyang Zhang Prof. Xuefei Wang Prof. Huogen Yu Prof. Jiaguo Yu State Key Laboratory of Silicate Materials for Architectures and School of Chemistry Chemical Engineering and Life Science Wuhan University of Technology 430070 Wuhan P. R. China Contribution: Investigation (lead) Methodology (lead) Software (lead) Visualization (lead) Writing - original draft (lead) Contribution: Formal analysis (lead) Software (equal) Laboratory of Solar Fuel Faculty of Materials Science and Chemistry China University of Geosciences 430074 Wuhan P. R. China Contribution: Data curation (lead) Project administration (lead) Contribution: Data curation (lead) Software (equal) Contribution: Conceptualization (lead) Funding acquisition (lead) Resources (lead) Supervision (lead) Validation (lead) Visualization (lead) Contribution: Conceptualization (lead) Resources (lead) Supervision (equal) Validation (lead)

The interaction between a co-catalyst and photocatalyst usually induces spontaneous free-electron transfer between them, but the effect and regulation of the transfer direction on the hydrogen-adsorption energy of the active sites have not received attention. Herein, to steer the free-electron transfer in a favorable direction for weakening S−H ads bonds of sulfur-rich MoS 2+ x , an electron-reversal strategy is proposed for the first time. The core–shell Au@MoS 2+ x cocatalyst was constructed on TiO 2 to optimize the antibonding-orbital occupancy. Research results reveal that the embedded Au can reverse the electron transfer to MoS 2+ x to generate electron-rich S (2+δ)− active sites, thus increasing the antibonding-orbital occupancy of S−H ads in the Au@MoS 2+ x cocatalyst. Consequently, the increase in the antibonding-orbital occupancy effectively destabilizes the H 1s-p antibonding orbital and weakens the S−H ads bond, realizing the expedited desorption of H ads to rapidly generate a lot of visible H 2 bubbles. This work delves deep into the latent effect of the photocatalyst carrier on cocatalytic activity.

关键词： Antibonding Orbitals Co-Catalysts Electron Reversal Photocatalysis Sulfur–Hydrogen Bonds

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Supramolecular Copolymers Under Kinetic, Thermodynamic, or Pathway-Switching Control

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Angewandte Chemie 2023年第28期135卷

作者： Yan Chen Dr. Yusheng Shi Dr. Zhanming Gao Dr. Lei Wang Yutian Tang Prof. Dr. Jinxuan Liu Prof. Dr. Chun Liu State Key Laboratory of Fine Chemicals Frontier Science Center for Smart Material School of Chemical Engineering Dalian University of Technology Linggong Road 2 Dalian 116024 China Contribution: Conceptualization (lead) Data curation (lead) Methodology (lead) Project administration (lead) Software (lead) Writing - original draft (lead) Contribution: Software (supporting) Contribution: Resources (supporting) Contribution: Funding acquisition (lead) Resources (lead) Supervision (lead) Writing - review & editing (lead)

Supramolecular copolymers have attracted much attention due to their potential functionalities. However, the co-assembly strategies to construct co-assemblies of small molecules with well-defined sequence structures are still limited, especially for more complex crystalline block co-assemblies. Herein, we target this challenge by designing Ir III complexes 1 and 2 , which possess unique self-assembly pathways and are capable of forming crystalline assemblies in aqueous systems. Specifically, block and random co-assemblies of 1 and 2 can be synthesized by kinetic and thermodynamic control, respectively. Meanwhile, by adjusting the water content to orthogonalize the on-pathway and the off-pathway, an unprecedented pathway-switching approach is realized to synthesize block and random co-assemblies. By coupling the kinetic pathways, the present co-assembly strategies are expected to pave the way for the synthesis of crystalline co-assemblies of small molecules and the construction of organic heterostructures.

关键词： Block Copolymers Co-Assembly IrIII Complexes Living Self-Assembly Pathway Switching

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FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

arXiv

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arXiv 2023年

作者： Lekadir, Karim Feragen, Aasa Fofanah, Abdul Joseph Frangi, Alejandro F. Buyx, Alena Emelie, Anais Lara, Andrea Porras, Antonio R. Chan, An-Wen Navarro, Arcadi Glocker, Ben Botwe, Benard O. Khanal, Bishesh Beger, Brigit Wu, Carol C. Cintas, Celia Langlotz, Curtis P. Rueckert, Daniel Mzurikwao, Deogratias Fotiadis, Dimitrios I. Zhussupov, Doszhan Ferrante, Enzo Meijering, Erik Weicken, Eva González, Fabio A. Asselbergs, Folkert W. Prior, Fred Krestin, Gabriel P. Collins, Gary S. Tegenaw, Geletaw S. Kaissis, Georgios Misuraca, Gianluca Tsakou, Gianna Dwivedi, Girish Kondylakis, Haridimos Jayakody, Harsha Woodruf, Henry C. Mayer, Horst Joachim Aerts, Hugo JWL Walsh, Ian Chouvarda, Ioanna Buvat, Irène Tributsch, Isabell Rekik, Islem Duncan, James Kalpathy-Cramer, Jayashree Zahir, Jihad Park, Jinah Mongan, John Gichoya, Judy W. Schnabel, Julia A. Kushibar, Kaisar Riklund, Katrine Mori, Kensaku Marias, Kostas Amugongo, Lameck M. Fromont, Lauren A. Maier-Hein, Lena Alberich, Leonor Cerdá Rittner, Leticia Phiri, Lighton Marrakchi-Kacem, Linda Donoso-Bach, Lluís Martí-Bonmatí, Luis Cardoso, M. Jorge Bobowicz, Maciej Shabani, Mahsa Tsiknakis, Manolis Zuluaga, Maria A. Bielikova, Maria Fritzsche, Marie-Christine Camacho, Marina Linguraru, Marius George Wenzel, Markus De Bruijne, Marleen Tolsgaard, Martin G. Ghassemi, Marzyeh Ashrafuzzaman, Md Goisauf, Melanie Yaqub, Mohammad Abadía, Mónica Cano Mahmoud, Mukhtar M.E. Elattar, Mustafa Rieke, Nicola Papanikolaou, Nikolaos Lazrak, Noussair Díaz, Oliver Salvado, Olivier Pujol, Oriol Sall, Ousmane Guevara, Pamela Gordebeke, Peter Lambin, Philippe Brown, Pieta Abolmaesumi, Purang Dou, Qi Lu, Qinghua Osuala, Richard Nakasi, Rose Zhou, S. Kevin Napel, Sandy Colantonio, Sara Albarqouni, Shadi Joshi, Smriti Carter, Stacy Klein, Stefan Petersen, Steffen E. Aussó, Susanna Awate, Suyash Raviv, Tammy Riklin Cook, Tessa Mutsvangwa, Tinashe E.M. Rogers, Wendy A. Niessen, Wiro J. Puig-Bosch, Xènia Zeng, Yi Mohammed, Yunusa G. Aquino, Yves Saint James Salahuddin, Zohaib Starmans, Martijn P.A. Department de Matemàtiques i Informàtica Universitat de Barcelona Barcelona Spain Barcelona Spain DTU Compute Technical University of Denmark Kgs Lyngby Denmark Department of Mathematics and Computer Science Faculty of Science and Technology Milton Margai Technical University Freetown Sierra Leone Center for Computational Imaging & Simulation Technologies in Biomedicine Schools of Computing and Medicine University of Leeds Leeds United Kingdom Cardiovascular Science and Electronic Engineering Departments KU Leuven Leuven Belgium Institute of History and Ethics in Medicine Technical University of Munich Munich Germany Faculty of Engineering of Systems Informatics and Sciences of Computing Galileo University Guatemala City Guatemala Department of Biostatistics and Informatics Colorado School of Public Health University of Colorado Anschutz Medical Campus AuroraCO United States Department of Medicine Women’s College Research Institute University of Toronto Toronto Canada Universitat Pompeu Fabra BarcelonaBeta Brain Research Center Barcelona Spain Department of Computing Imperial College London London United Kingdom School of Biomedical & Allied Health Sciences University of Ghana Accra Ghana Department of Midwifery & Radiography School of Health & Psychological Sciences City University of London United Kingdom Kathmandu Nepal European Heart Network Brussels Belgium Department of Thoracic Imaging University of Texas MD Anderson Cancer Center Houston United States IBM Research Africa Nairobi Kenya Departments of Radiology Medicine and Biomedical Data Science Stanford University School of Medicine Stanford United States Institute for AI and Informatics in Medicine Klinikum rechts der Isar Technical University Munich Munich Germany Department of Computing Imperial College London London United Kingdom Muhimbili University of Health and Allied Sciences Dar es Salaam Tanzania United Republic of Ioannina Greece Almaty AI Lab Almaty Kazakhstan

Background: Despite major advances in artificial intelligence (AI) research for healthcare, the deployment and adoption of AI technologies remain limited in clinical practice. In recent years, concerns have been raised about the clinical, technical, ethical and legal risks associated with healthcare AI. To increase adoption in the real world, it is essential that AI technologies are trusted and accepted by patients, clinicians, health organisations and authorities. This paper describes the FUTURE-AI framework as the first international consensus guideline for trustworthy AI in healthcare. Methods: The FUTURE-AI consortium was founded in 2021 and now comprises 117 interdisciplinary experts from 50 countries representing all continents, including AI scientists, clinical researchers, biomedical ethicists, and social scientists. Over a two-year period, the consortium established guiding principles and best practices for trustworthy and deployable AI through an iterative process comprising an in-depth literature review, a modified Delphi survey, and online consensus meetings. Findings: The FUTURE-AI framework was established based on six guiding principles for trustworthy AI in healthcare, i.e. Fairness, Universality, Traceability, Usability, Robustness and Explainability. Through consensus, a set of 30 best practices were defined, addressing technical, clinical, socio-ethical and legal dimensions of trustworthy AI. The recommendations cover the entire lifecycle of healthcare AI, from design, development and validation to regulation, deployment, and monitoring. Interpretation: FUTURE-AI is a structured, risk-informed framework which provides guidance for constructing healthcare AI tools that will be trusted, deployed and adopted in real-world clinical practice. Researchers are encouraged to take the recommendations into account in proof-of-concept stages to facilitate future translation towards clinical practice of healthcare AI. Copyright © 2023, The Authors. All rights

关键词： Clinical research

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Periodically Interrupting Bonding Behavior to Reformat Delocalized Electronic States of Graphdiyne for Improved Electrocatalytic Hydrogen Evolution

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Angewandte Chemie 2022年第42期134卷

作者： Kaikai Ma Jing Wu Xin Wang Yu Sun Zhaozhao Xiong Fulong Dai Haokun Bai Yong Xie Zhuo Kang Yue Zhang Academy for Advanced Interdisciplinary Science and Technology Beijing Advanced Innovation Center for Materials Genome Engineering University of Science and Technology Beijing Beijing 100083 P. R. China Beijing Key Laboratory for Advanced Energy Materials and Technologies School of Materials Science and Engineering University of Science and Technology Beijing Beijing 100083 P. R. China Contribution: Conceptualization (lead) Data curation (lead) Formal analysis (lead) Funding acquisition (lead) Investigation (lead) Methodology (lead) Project administration (lead) Contribution: Conceptualization (lead) Data curation (lead) Funding acquisition (lead) Investigation (lead) Methodology (lead) Project administration (lead) Resources (lead) Software (lead) Supervision (lead)

π electron configuration plays a pivotal role in metal-free carbon catalysts, and its delocalization degree overwhelmingly dominates catalytic activity. However, precise and targeted regulation of inherent π electrons still remain challenging. Here, one chemical-bond-targeted physical clipping strategy is proposed and effectively adopted in the cutting-edge carbon material system of graphdiyne (GDY) as a concept-of-proof. The delocalized electrons are expected to be periodically reformatted for substantially enhancing π electron delocalization. Via theoretical screening and well-designed experiments, periodical interruption of Csp−Csp 2 bonds in GDY can render sp−C sites with decent activity, ultimately yielding top-ranking electrocatalytic performance without intentionally introducing external decoration. The as-proposed concept endows a universal prescription to push the limit of delocalization degree, thus shedding novel light on the rational design of decent metal-free catalysts.

关键词： Bonding Behavior Delocalization Degree Graphdiyne Hydrogen Evolution π Electron State

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Active Sites Decorated Nonpolar Pore-Based MOF for One-step Acquisition of C2H4and Recovery of C3H6

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Angewandte Chemie 2023年第43期135卷

作者： Dr. Gang-Ding Wang Dr. Yong-Zhi Li Dr. Wen-Juan Shi Prof. Lei Hou Prof. Yao-Yu Wang Prof. Zhonghua Zhu Key Laboratory of Synthetic and Natural Functional Molecule of the Ministry of Education College of Chemistry & Materials Science Northwest University Xi'an 710069 P. R. China Contribution: Data curation (lead) Investigation (lead) Methodology (equal) Writing - original draft (lead) Contribution: Data curation (equal) Formal analysis (equal) Writing - review & editing (supporting) Contribution: Formal analysis (equal) Software (equal) Contribution: Software (lead) Supervision (lead) Writing - review & editing (lead) Contribution: Formal analysis (equal) Resources (equal) School of Chemical Engineering The University of Queensland Brisbane 4072 Australia

Herein, a 2-fold interpenetrated metal-organic framework (MOF) Zn-BPZ-TATB with accessible N/O active sites in nonpolar pore surfaces was reported for one-step C 2 H 4 purification from C 2 H 6 or C 3 H 6 mixtures as well as recovery of C 3 H 6 from C 2 H 6 /C 3 H 6 /C 2 H 4 mixtures. The MOF exhibits the favorable C 2 H 6 and C 3 H 6 uptakes (>100 cm 3 g −1 at 298 K under 100 kPa) as well as selective adsorption of C 2 H 6 and C 3 H 6 over C 2 H 4 . The C 3 H 6 - and C 2 H 6 -selective feature were investigated detailedly by experimental tests as well as sorption kinetic studyies. Molecular modelling revealed the multiple interactions between C 3 H 6 or C 2 H 6 molecules and methyl groups as well as triazine rings in pores. Zn-BPZ-TATB not only can directly generate 323.4 L kg −1 and 15.4 L kg −1 of high-purity (≥99.9 %) C 2 H 4 from C 3 H 6 /C 2 H 4 and C 2 H 6 /C 2 H 4 mixtures, but also provide a large high-purity (≥99.5 %) C 3 H 6 recovery capacity of 60.1 L kg −1 from C 3 H 6 /C 2 H 4 mixtures. More importantly, the high-purity C 3 H 6 (≥99.5 %) and C 2 H 4 (≥99.9 %) with the productivities of 38.2 and 12.7 L kg −1 can be simultaneously obtained from C 2 H 6 /C 3 H 6 /C 2 H 4 mixtures through a single adsorption/desorption cycle.

关键词： Crystal Structure Ethylene Purification Gas Adsorption and Separation Metal–Organic Framework Microporous Materials

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