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      Performance-Based Screening of Porous Materials for Carbon Capture

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          Abstract

          Computational screening methods have changed the way new materials and processes are discovered and designed. For adsorption-based gas separations and carbon capture, recent efforts have been directed toward the development of multiscale and performance-based screening workflows where we can go from the atomistic structure of an adsorbent to its equilibrium and transport properties at different scales, and eventually to its separation performance at the process level. The objective of this work is to review the current status of this new approach, discuss its potential and impact on the field of materials screening, and highlight the challenges that limit its application. We compile and introduce all the elements required for the development, implementation, and operation of multiscale workflows, hence providing a useful practical guide and a comprehensive source of reference to the scientific communities who work in this area. Our review includes information about available materials databases, state-of-the-art molecular simulation and process modeling tools, and a complete catalogue of data and parameters that are required at each stage of the multiscale screening. We thoroughly discuss the challenges associated with data availability, consistency of the models, and reproducibility of the data and, finally, propose new directions for the future of the field.

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          GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers

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            Fast Parallel Algorithms for Short-Range Molecular Dynamics

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              Semiempirical GGA-type density functional constructed with a long-range dispersion correction.

              A new density functional (DF) of the generalized gradient approximation (GGA) type for general chemistry applications termed B97-D is proposed. It is based on Becke's power-series ansatz from 1997 and is explicitly parameterized by including damped atom-pairwise dispersion corrections of the form C(6) x R(-6). A general computational scheme for the parameters used in this correction has been established and parameters for elements up to xenon and a scaling factor for the dispersion part for several common density functionals (BLYP, PBE, TPSS, B3LYP) are reported. The new functional is tested in comparison with other GGAs and the B3LYP hybrid functional on standard thermochemical benchmark sets, for 40 noncovalently bound complexes, including large stacked aromatic molecules and group II element clusters, and for the computation of molecular geometries. Further cross-validation tests were performed for organometallic reactions and other difficult problems for standard functionals. In summary, it is found that B97-D belongs to one of the most accurate general purpose GGAs, reaching, for example for the G97/2 set of heat of formations, a mean absolute deviation of only 3.8 kcal mol(-1). The performance for noncovalently bound systems including many pure van der Waals complexes is exceptionally good, reaching on the average CCSD(T) accuracy. The basic strategy in the development to restrict the density functional description to shorter electron correlation lengths scales and to describe situations with medium to large interatomic distances by damped C(6) x R(-6) terms seems to be very successful, as demonstrated for some notoriously difficult reactions. As an example, for the isomerization of larger branched to linear alkanes, B97-D is the only DF available that yields the right sign for the energy difference. From a practical point of view, the new functional seems to be quite robust and it is thus suggested as an efficient and accurate quantum chemical method for large systems where dispersion forces are of general importance. Copyright 2006 Wiley Periodicals, Inc.

                Author and article information

                Journal
                Chem Rev
                Chem Rev
                cr
                chreay
                Chemical Reviews
                American Chemical Society
                0009-2665
                1520-6890
                10 August 2021
                08 September 2021
                : 121
                : 17
                : 10666-10741
                Affiliations
                []Department of Chemical Engineering and Analytical Science, School of Engineering, The University of Manchester , Manchester M13 9PL, United Kingdom
                []Process Technology Department, SINTEF Industry , Oslo 0373, Norway
                [§ ]School of Engineering, Institute for Energy Systems, The University of Edinburgh , Edinburgh EH9 3FB, United Kingdom
                []School of Engineering, Institute of Materials and Processes, The University of Edinburgh , Sanderson Building, Edinburgh EH9 3FB, United Kingdom
                Author notes
                Author information
                https://orcid.org/0000-0002-6686-8588
                https://orcid.org/0000-0002-9584-6804
                https://orcid.org/0000-0002-3951-2201
                https://orcid.org/0000-0001-9470-6837
                https://orcid.org/0000-0001-7637-7670
                Article
                10.1021/acs.chemrev.0c01266
                8431366
                34374527
                ebcc7739-7e08-4a5b-8f3e-28400a3111b9
                © 2021 The Authors. Published by American Chemical Society

                Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained ( https://creativecommons.org/licenses/by/4.0/).

                History
                : 30 November 2020
                Funding
                Funded by: Engineering and Physical Sciences Research Council, doi 10.13039/501100000266;
                Award ID: EP/N007859/1
                Categories
                Review
                Custom metadata
                cr0c01266
                cr0c01266

                Chemistry
                Chemistry

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