Deep Learning Models for Predicting Gas Adsorption Capacity of Nanomaterials

Deep Learning Models for Predicting Gas Adsorption Capacity of Nanomaterials

Metal–organic frameworks (MOFs), a class of porous nanomaterials, have been widely used in gas adsorption-based applications due to their high porosities and chemical tunability. To facilitate the discovery of high-performance MOFs for different applications, a variety of machine learning models hav...

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Bibliographic Details
Main Authors: Wenjing Guo, Jie Liu, Fan Dong, Ru Chen, Jayanti Das, Weigong Ge, Xiaoming Xu, Huixiao Hong
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Nanomaterials
Subjects:
metal–organic framework
gas adsorption
deep learning
Online Access:https://www.mdpi.com/2079-4991/12/19/3376

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