Efficient machine learning algorithms to analyze time-resolved luminescence data
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Date
2018
Publication Type
Conference Paper
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yes
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Abstract
A machine learning algorithm is applied to analyze decay rate distribution in time-resolved photoemission data without a priori assumptions. We show that our approach is efficient in identifying physical processes in colloidal nanocrystals.
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published
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Book title
Advanced Photonics 2018 (BGPP, IPR, NP, NOMA, Sensors, Networks, SPPCom, SOF)
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Publisher
OSA Publishing
Event
Novel Optical Materials and Applications (NOMA 2018)
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03974 - Leuthold, Juerg / Leuthold, Juerg
03895 - Wood, Vanessa / Wood, Vanessa