Controlling colloidal crystals via morphing energy landscapes and reinforcement learning

We report a feedback control method to remove grain boundaries and produce circular shaped colloidal crystals using morphing energy landscapes and reinforcement learning–based policies. We demonstrate this approach in optical microscopy and computer simulation experiments for colloidal particles in...

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Detalles Bibliográficos
Autores principales: Zhang, Jianli, Yang, Junyan, Zhang, Yuanxing, Bevan, Michael A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2020
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7688337/
https://www.ncbi.nlm.nih.gov/pubmed/33239301
http://dx.doi.org/10.1126/sciadv.abd6716

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7688337/
https://www.ncbi.nlm.nih.gov/pubmed/33239301
http://dx.doi.org/10.1126/sciadv.abd6716

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