ZeoSyn: A Comprehensive Zeolite Synthesis Dataset Enabling Machine-learning Rationalization of Hydrothermal Parameters (ACS Central Science 2024)
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Updated
Oct 20, 2024 - Jupyter Notebook
ZeoSyn: A Comprehensive Zeolite Synthesis Dataset Enabling Machine-learning Rationalization of Hydrothermal Parameters (ACS Central Science 2024)
zeo++ fork of the LSMO
FOCUS package including DLS-76 and KRIBER for structure determination of zeolites
Code used in the paper "Adsorption of carbon dioxide in non-Löwenstein zeolites".
Wrapper around the mofDB api for easy python use
This project aims to extend the Atomic Simulation Environment (ASE) to more naturally represent the properties of zeolites and facilitate the calculations required to determine their properties. To cite this original software publication: https://www.sciencedirect.com/science/article/pii/S2352711021001011
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