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An artificial intelligence enabled chemical synthesis robot for exploration and optimization of nanomaterials
We present an autonomous chemical synthesis robot for the exploration, discovery, and optimization of nanostructures driven by real-time spectroscopic feedback, theory, and machine learning algorithms that control the reaction conditions and allow the selective templating of reactions. This approach...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9544322/ https://www.ncbi.nlm.nih.gov/pubmed/36206340 http://dx.doi.org/10.1126/sciadv.abo2626 |