Machine learning-assisted crystal engineering of a zeolite

Machine learning-assisted crystal engineering of a zeolite

Abstract It is shown that Machine Learning (ML) algorithms can usefully capture the effect of crystallization composition and conditions (inputs) on key microstructural characteristics (outputs) of faujasite type zeolites (structure types FAU, EMT, and their intergrowths), which are widely used zeol...

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Bibliographic Details
Main Authors: Xinyu Li, He Han, Nikolaos Evangelou, Noah J. Wichrowski, Peng Lu, Wenqian Xu, Son-Jong Hwang, Wenyang Zhao, Chunshan Song, Xinwen Guo, Aditya Bhan, Ioannis G. Kevrekidis, Michael Tsapatsis
Format: Article
Language:English
Published: Nature Portfolio 2023-05-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-023-38738-5

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https://doi.org/10.1038/s41467-023-38738-5

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