eltonpan/zeosyn_dataset
ZeoSyn: A Comprehensive Zeolite Synthesis Dataset Enabling Machine-learning Rationalization of Hydrothermal Parameters (ACS Central Science 2024)
This project provides a comprehensive dataset of nearly 24,000 zeolite synthesis experiments. It maps initial gel compositions, reaction conditions, and organic structure-directing agents to the resulting zeolite product. Researchers and materials scientists working on zeolite design and synthesis can use this to understand how synthesis parameters influence the final zeolite structure.
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Use this if you are a materials scientist or chemical engineer researching zeolites and want to uncover relationships between synthesis parameters and zeolite properties, or to predict synthesis outcomes.
Not ideal if you are looking for a dataset of general chemical reactions or material properties outside of zeolite synthesis.
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Jupyter Notebook
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MIT
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Last pushed
Sep 02, 2025
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