olivettigroup/materials-synthesis-generative-models
Public release of data and code for materials synthesis generation
This project helps materials scientists and researchers automate the planning of inorganic materials synthesis. By analyzing extensive materials science literature, it generates potential synthesis recipes and identifies relevant precursors. The end result is a recommended synthesis plan, helping scientists efficiently explore new material compositions and their creation methods.
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Use this if you need to quickly explore new synthesis pathways for inorganic materials or want to accelerate the design of experiments by leveraging insights from a vast literature database.
Not ideal if you are working with organic materials synthesis or require experimental validation tools, as this focuses on generating theoretical synthesis plans.
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HTML
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MIT
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Last pushed
Aug 11, 2022
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