Active learning of chemical reaction networks via probabilistic graphical models and Boolean reaction circuits
| Autor: | Maximilian Cohen, Tejas Goculdas, Dionisios G. Vlachos |
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| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Reaction Chemistry & Engineering. 8:824-837 |
| ISSN: | 2058-9883 |
| DOI: | 10.1039/d2re00315e |
| Popis: | Reaction networks are identified with active learning design of experiments using Bayesian statistics and Boolean principles in a generalizable methodology. |
| Databáze: | OpenAIRE |
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