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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2018
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| Materias: | |
| 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 |