Oktober 2, 2024 In Unkategorisiert
Data-driven exploration of silver nanoplate formation in multidimensional chemical design spaces
Digital Discovery, 2024, Advance Article
DOI: 10.1039/D4DD00211C, Paper
DOI: 10.1039/D4DD00211C, Paper
Open Access
  This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.
Huat Thart Chiang, Kiran Vaddi, Lilo Pozzo
We present an autonomous data-driven framework that iteratively explores the experimental design space of silver nanoparticle synthesis to obtain control over the formation of a desired morphology and size.
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We present an autonomous data-driven framework that iteratively explores the experimental design space of silver nanoparticle synthesis to obtain control over the formation of a desired morphology and size.
To cite this article before page numbers are assigned, use the DOI form of citation above.
The content of this RSS Feed (c) The Royal Society of Chemistry
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