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SYNTHESIS PLANNING CVAES
Conditional variational autoencoders designed to generate action sequences and precursors needed to synthesize a given target material.
From Kim et al. Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks. JCIM. (2020).
Generative model that predicts potential organic structure directing agents (OSDA) for a given zeolite structure and chemistry.
Picture from Daeyaert and Deem. Design of organic structure directing agents for polymorph A zeolite beta. JMCA. (2019).
Generative Models: Research
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