Gas adsorption meets deep learning: voxelizing the potential energy surface of metal-organic frameworks

Abstract Intrinsic properties of metal-organic frameworks (MOFs), such as their ultra porosity and high surface area, deem them promising solutions for problems involving gas adsorption. Nevertheless, due to their combinatorial nature, a huge number of structures is feasible which renders cumbersome...

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Bibliographic Details
Main Authors: Antonios P. Sarikas, Konstantinos Gkagkas, George E. Froudakis
Format: Article
Language:English
Published: Nature Portfolio 2024-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-50309-8