QFlow lite dataset: A machine-learning approach to the charge states in quantum dot experiments

BACKGROUND: Over the past decade, machine learning techniques have revolutionized how research and science are done, from designing new materials and predicting their properties to data mining and analysis to assisting drug discovery to advancing cybersecurity. Recently, we added to this list by sho...

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Detalles Bibliográficos
Autores principales: Zwolak, Justyna P., Kalantre, Sandesh S., Wu, Xingyao, Ragole, Stephen, Taylor, Jacob M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6192646/
https://www.ncbi.nlm.nih.gov/pubmed/30332463
http://dx.doi.org/10.1371/journal.pone.0205844

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6192646/
https://www.ncbi.nlm.nih.gov/pubmed/30332463
http://dx.doi.org/10.1371/journal.pone.0205844

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