Machine Learning-Guided Synthesis of Prospective Organic Molecular Materials: An Algorithm with Latent Variables for Understanding and Predicting Experimentally Unobservable Reactions
Published: 27 October 2025| Version 1 | DOI: 10.17632/sy7cxjpgtn.1
Contributor:
Kazuhiro TakedaDescription
The python source code of "Machine Learning-Guided Synthesis of Prospective Organic Molecular Materials: An Algorithm with Latent Variables for Understanding and Predicting Experimentally Unobservable Reactions"
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Machine Learning
Funders
- Ministry of Education, Culture, Sports, Science and TechnologyJapanGrant ID: JP21H05222 and JP21H05218