Benutzer: Gast  Login
Titel:

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

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
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...     »
Zeitschriftentitel:
Chem. Sci., Accepted Manuscript 2020-02
Jahr:
2020
Jahr / Monat:
2020-02
Quartal:
1. Quartal
Monat:
Feb
Seitenangaben Beitrag:
1-34
Sprache:
en
Volltext / DOI:
doi:10.1039/C9SC06145B
WWW:
https://pubs.rsc.org/en/content/articlehtml/2020/sc/c9sc06145b
Verlag / Institution:
Royal Society of Chemistry RCS
 BibTeX