Dye-sensitized solar cells under ambient light powering machine learning: towards autonomous smart sensors for the internet of things.

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-sensitized photovoltaic cells based on a copper(ii/i) electrolyte for the generation of power under ambient lighting with an unprecedented conversion efficiency (34%, 103 μW cm^-2 at 1000 lux; 32.7%, 50 μW cm^-2 at 500 lux and 31.4%, 19 μW cm^-2 at 200 lux from a fluores

SUBMITTER: Michaels H 

PROVIDER: S-EPMC8157489 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature