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Molecular Simulation of CO2/H2 Mixture Separation in Metal-organic Frameworks： Effect of Catenation and Electrostatic Interactions

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Chinese Journal of Chemical Engineering 2009年第5期17卷 781-790页

作者：阳庆元许青刘蓓仲崇立 smit berend Lab of Computational Chemistry Department of Chemical Engineering Beijing University of Chemical Technology Beijing 100029 China Department of Chemical Engineering University of California Berkeley CA 94720-1462 USA

In this work grand canonical Monte Carlo simulations were performed to study gas separation in three pairs of isoreticular metal-organic frameworks (IRMOFs) with and without catenation at room *** composed of CO2 and H2 was selected as the model system to *** results show that CO2 selectivity in catenated MOFs with multi-porous frameworks is much higher than their non-catenated *** simulations also show that the electrostatic interactions are very important for the selectivity,and the contributions of different electrostatic interactions are different,depending on pore size,pressure and mixture *** fact,changing the electrostatic interactions can even qualitatively change the adsorption behavior.A general conclusion is that the electrostatic interactions between adsorbate molecules and the framework atoms play a dominant role at low pressures,and these interactions in catenated MOFs have much more pronounced effects than those in their non-catenated counterparts,while the electrostatic interactions between adsorbate molecules become evident with increasing pressure,and eventually dominant.

关键词： separation catenation electrostatic interactions metal-organic frameworks molecular simulation

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Common workflows for computing material properties using different quantum engines

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npj Computational Materials 2021年第1期7卷 1202-1213页

作者： Sebastiaan P.Huber Emanuele Bosoni Marnik Bercx Jens Bröder Augustin Degomme Vladimir Dikan Kristjan Eimre Espen Flage-Larsen Alberto Garcia Luigi Genovese Dominik Gresch Conrad Johnston Guido Petretto Samuel Poncé Gian-Marco Rignanese Christopher J.Sewell berend smit Vasily Tseplyaev Martin Uhrin Daniel Wortmann Aliaksandr V.Yakutovich Austin Zadoks Pezhman Zarabadi-Poor Bonan Zhu Nicola Marzari Giovanni Pizzi Theory and Simulation of Materials(THEOS)and National Centre for Computational Design and Discovery of Novel Materials(MARVEL) École Polytechnique Fédérale de LausanneLausanneSwitzerland Institut de Ciència de Materials de Barcelona ICMAB-CSICBellaterraSpain Peter Grünberg Institut and Institute for Advanced Simulation Forschungszentrum JülichJülichGermany Department of Physics RWTH Aachen UniversityAachenGermany CEA IRIG-MEM-L_SimUniv.Grenoble-AlpesGrenobleFrance Nanotech@surfaces Laboratory Swiss Federal Laboratories for Materials Science and Technology(Empa)DübendorfSwitzerland SINTEF Industry Materials PhysicsOsloNorway Department of Physics University of OsloOsloNorway Microsoft Station Q University of CaliforniaSanta BarbaraCAUSA Atomistic Simulation Centre School of Mathematics and PhysicsQueen’s University BelfastBelfastUK UCLouvain Institut de la Matière Condensée et des Nanosciences(IMCN)Louvain-la-NeuveBelgium Laboratory of Molecular Simulation(LSMO) Institut des sciences et ingénierie chimiques(ISIC)École Polytechnique Fédérale de Lausanne(EPFL)ValaisSionSwitzerland Department of Chemistry Claverton DownUniversity of BathBathUK The Faraday Institution DidcotUK Department of Chemistry University College LondonLondonUK

The prediction of material properties based on density-functional theory has become routinely common,thanks,in part,to the steady increase in the number and robustness of available simulation *** plurality of codes and methods is both a boon and a *** providing great opportunities for cross-verification,these packages adopt different methods,algorithms,and paradigms,making it challenging to choose,master,and efficiently use *** demonstrate how developing common interfaces for workflows that automatically compute material properties greatly simplifies interoperability and *** introduce design rules for reusable,code-agnostic,workflow interfaces to compute well-defined material properties,which we implement for eleven quantum engines and use to compute various material *** implementation encodes carefully selected simulation parameters and workflow logic,making the implementer’s expertise of the quantum engine directly available to *** workflows are made available as open-source and full reproducibility of the workflows is guaranteed through the use of the AiiDA infrastructure.

关键词： quantum routine material

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