多孔介质
多孔性
纳米技术
材料科学
无定形固体
领域(数学)
维数之咒
计算机科学
生化工程
工程类
人工智能
化学
数学
复合材料
有机化学
纯数学
出处
期刊:Inorganic materials series
日期:2021-01-01
卷期号:: 27-78
被引量:1
标识
DOI:10.1039/9781839163319-00027
摘要
Porous materials are especially suited for applications in a broad range of fields, notably in gas storage and separation, but also as electrodes, catalysts and drug delivery vehicles. Porous materials span almost the entire chemical universe, they may be inorganic or organic, crystalline or amorphous, and their structure may have any dimensionality from 0 to 3 dimensions. Computational prediction of porous materials is frequently used where experimental characterisation is inadequate, but increasingly, computational screening of many thousands or even millions of materials is used in order to guide synthetic efforts towards materials with desirable properties. This chapter describes the methods used to computationally predict the structures of porous materials, highlighting some of the many successes of these methods, and also discusses some of the current limitations in the field and posits areas for future development.
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