PT  - JOURNAL ARTICLE
AU  - Pradhan, Basudev
AU  - Das, Sonali
AU  - Li, Jinxin
AU  - Chowdhury, Farzana
AU  - Cherusseri, Jayesh
AU  - Pandey, Deepak
AU  - Dev, Durjoy
AU  - Krishnaprasad, Adithi
AU  - Barrios, Elizabeth
AU  - Towers, Andrew
AU  - Gesquiere, Andre
AU  - Tetard, Laurene
AU  - Roy, Tania
AU  - Thomas, Jayan
TI  - Ultrasensitive and ultrathin phototransistors and photonic synapses using perovskite quantum dots grown from graphene lattice
AID  - 10.1126/sciadv.aay5225
DP  - 2020 Feb 01
TA  - Science Advances
PG  - eaay5225
VI  - 6
IP  - 7
4099  - http://advances.sciencemag.org/content/6/7/eaay5225.short
4100  - http://advances.sciencemag.org/content/6/7/eaay5225.full
SO  - Sci Adv2020 Feb 01; 6
AB  - Organic-inorganic halide perovskite quantum dots (PQDs) constitute an attractive class of materials for many optoelectronic applications. However, their charge transport properties are inferior to materials like graphene. On the other hand, the charge generation efficiency of graphene is too low to be used in many optoelectronic applications. Here, we demonstrate the development of ultrathin phototransistors and photonic synapses using a graphene-PQD (G-PQD) superstructure prepared by growing PQDs directly from a graphene lattice. We show that the G-PQDs superstructure synchronizes efficient charge generation and transport on a single platform. G-PQD phototransistors exhibit excellent responsivity of 1.4 × 108 AW–1 and specific detectivity of 4.72 × 1015 Jones at 430 nm. Moreover, the light-assisted memory effect of these superstructures enables photonic synaptic behavior, where neuromorphic computing is demonstrated by facial recognition with the assistance of machine learning. We anticipate that the G-PQD superstructures will bolster new directions in the development of highly efficient optoelectronic devices.