工作流程
一致性(知识库)
计算机科学
过程(计算)
领域(数学)
数据科学
纳米技术
系统工程
数据库
人工智能
数学
操作系统
工程类
材料科学
纯数学
作者
Amir H. Farmahini,Shreenath Krishnamurthy,Daniel Friedrich,Stefano Brandani,Lev Sarkisov
出处
期刊:Chemical Reviews
[American Chemical Society]
日期:2021-08-10
卷期号:121 (17): 10666-10741
被引量:210
标识
DOI:10.1021/acs.chemrev.0c01266
摘要
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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