Harnessing Biobased Materials in Photosynaptic Transistors with Multibit Data Storage and Panchromatic Photoresponses Extended to Near-Infrared Band

24 February 2023
Dans cette publication de R. BORSALI et Y. Sakai-Otsuka et leurs collaborateurs, les auteurs mettent au point un dispositif photosynaptique "vert", comprenant un biocomposite, qui est un guide efficace pour les applications dans la perception visuelle artificielle, la détection et la mémoire dans l'informatique neuromorphique et les systèmes intelligents.Cliquez sur le titre pour plus d'information.

Résumé:

« Owing to ever-increasing environmental impact, nature-inspired biomimetic electronics are key to unlock the potential of developing environmentally friendly brain-like computing and biomimetic artificial-intelligence systems. Thus far, the development of photosynaptic devices via green processing using biobased materials has become a major challenge, owing to restrictions in complex architecture, material design, and stimulation wavelength. This article reports on the first bioinspired phototransistor using biocomposites comprising semiconducting block copolymers, poly(3-hexylthiophene)-block-maltoheptaose, and bacteriochlorophyll (BCHL), which extend the photoresponse from visible to UV to near-infrared light, to exhibit fundamental sensing, computing, and memory functions. The superior ultrafast (50 ms) and multilevel (>9 bits) photoresponses of a single cell of the synaptic devices are attributed to hydrogen-bonding interaction (i) between the block copolymers to facilitate the self-assembled microstructure, and (ii) within the block copolymer and BCHL to homogeneously disperse the natural chromophore. Notably, a two-terminal flexible synaptic device comprising biocomposites and a biobased poly(ethylene furanoate) substrate with high mechanical endurance is demonstrated to exhibit synaptic functionality and environmentally benign properties without using a gate impetus and hazardous ingredients. Collectively, the photosynaptic transistor comprising a biocomposite successfully provides an effective guide for applications in artificial visual perception, sensing, and memory in neuromorphic computing and intelligent systems. »

La publication est disponible sur le site de l’éditeur.

Cette collaboration s’inscrit dans le cadre du Green Material Institute France-Taiwan . Pour en savoir plus sur cet « International Research Project » :  irp-gmi.cnrs.fr