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Title:

Dye-sensitized solar cells under Ambient Light Powering Machine Learning: Towards autonomous smart sensors for Internet of Things

Document type:
Zeitschriftenaufsatz
Author(s):
Michaels, H.; Rinderle, M.; Freitag, R.; Benesperi, I.; Edvinsson, T.; Socher, R.; Gagliardi, A.; Freitag, M.
Abstract:
The field of photovoltaics gives the opportunity to make our buildings ‘‘smart’’ and our portable devices “independent”, provided effective energy sources can be developed for use in ambient indoor conditions. To address this important issue, ambient light photovoltaic cells were developed to power autonomous Internet of Things (IoT) devices, capable of machine learning, allowing the on-device implementation of artificial intelligence. Through a novel co-sensitization strategy, we tailored dye-s...     »
Journal title:
Chem. Sci., Accepted Manuscript 2020-02
Year:
2020
Year / month:
2020-02
Quarter:
1. Quartal
Month:
Feb
Pages contribution:
1-34
Language:
en
Fulltext / DOI:
doi:10.1039/C9SC06145B
WWW:
https://pubs.rsc.org/en/content/articlehtml/2020/sc/c9sc06145b
Publisher:
Royal Society of Chemistry RCS
 BibTeX