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Efficient Closed-loop Maximization of Carbon Nanotube Growth Rate using Bayesian Optimization
A major technological challenge in materials research is the large and complex parameter space, which hinders experimental throughput and ultimately slows down development and implementation. In single-walled carbon nanotube (CNT) synthesis, for instance, the poor yield obtained from conventional ca...
Tallennettuna:
| Julkaisussa: | Sci Rep |
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| Päätekijät: | , , , , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Nature Publishing Group UK
2020
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7271124/ https://ncbi.nlm.nih.gov/pubmed/32493911 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-64397-3 |
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