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Bayesian optimization-driven parallel-screening of multiple parameters for the flow synthesis of biaryl compounds
Traditional optimization methods using one variable at a time approach waste time and chemicals and assume that different parameters are independent from one another. Hence, a simpler, more practical, and rapid process for predicting reaction conditions that can be applied to several manufacturing e...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9814103/ https://www.ncbi.nlm.nih.gov/pubmed/36698029 http://dx.doi.org/10.1038/s42004-022-00764-7 |