4.8 Review

Performance-Based Screening of Porous Materials for Carbon Capture

期刊

CHEMICAL REVIEWS
卷 121, 期 17, 页码 10666-10741

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.chemrev.0c01266

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资金

  1. UK Engineering and Physical Sciences Research Council (EPSRC) [EP/N007859/1]
  2. SINTEFs internal publication project [102005015-63]
  3. EPSRC [EP/N007859/1] Funding Source: UKRI

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Computational screening methods have revolutionized the discovery and design of new materials and processes, with recent efforts focusing on multiscale and performance-based screening workflows. The objective is to review the current status, potential impact, and challenges of this new approach, providing a practical guide for scientific communities and proposing future directions for the field. Challenges include data availability, model consistency, and reproducibility, with a comprehensive compilation of tools and parameters required for multiscale screening.
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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