Organic Optoelectronic\nSynaptic Transistor with Enhanced\nUV Light Response Based on Insulating Polymer-Assisted p–n\nHeterojunction

Optoelectronic synaptic transistors possess the capability\nto simultaneously\naccomplish perception and process functions within a single device,\nthereby not only addressing the limitations of von Neumann architectures\nbut also serving as a promising candidate for emulating neural vision\nsystems. The extensive range of organic semiconductor materials offers\na plethora of possibilities for device fabrication; however, the severe\nrecombination of photogenerated carriers imposes limitations on the\nutilization of organic p–n bulk heterostructures in synaptic\ntransistor construction. By incorporating an insulating polymer and\nimplementing a p–n planar heterojunction architecture, the\n30% PCBM@PAN-DPPDTT transistor was constructed using the PCBM/DPPDTT\nheterojunction and the PCBM@PAN photoresponsive charge trapping layer.\nDue to the effect of the photoresponsive charge trapping layer and\ninterface traps, the device not only overcomes the shortcomings of\np–n bulk heterojunction and exhibits typical synaptic properties\nbut also demonstrates a significantly enhanced response to ultraviolet\n(UV) light, exhibiting nearly four times more excitatory postsynaptic\ncurrent (ΔEPSC) compared to the device lacking PCBM. The transistor\nmatrix was employed to simulate the image perception and memory functions\nof the human neural vision system. Furthermore, an artificial neural\nnetwork with high recognition accuracy (∼95%) of handwritten\nnumbers was constructed. This study proposes an additional approach\nfor mitigating the issue of rapid recombination of photogenerated\ncharge carriers in the construction of optoelectronic synaptic transistors\nby utilizing p–n heterojunction.

Publication Details

Journal
Figshare
Published
2024-11-12
DOI
https://doi.org/10.1021/acsami.4c12583.s001
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Organic Optoelectronic\nSynaptic Transistor with Enhanced\nUV Light Response Based on Insulating Polymer-Assisted p–n\nHeterojunction

Figshare
Advanced Memory and Neural Computing
article

Organic Optoelectronic\nSynaptic Transistor with Enhanced\nUV Light Response Based on Insulating Polymer-Assisted p–n\nHeterojunction

article en

Abstract

Optoelectronic synaptic transistors possess the capability\nto simultaneously\naccomplish perception and process functions within a single device,\nthereby not only addressing the limitations of von Neumann architectures\nbut also serving as a promising candidate for emulating neural vision\nsystems. The extensive range of organic semiconductor materials offers\na plethora of possibilities for device fabrication; however, the severe\nrecombination of photogenerated carriers imposes limitations on the\nutilization of organic p–n bulk heterostructures in synaptic\ntransistor construction. By incorporating an insulating polymer and\nimplementing a p–n planar heterojunction architecture, the\n30% PCBM@PAN-DPPDTT transistor was constructed using the PCBM/DPPDTT\nheterojunction and the PCBM@PAN photoresponsive charge trapping layer.\nDue to the effect of the photoresponsive charge trapping layer and\ninterface traps, the device not only overcomes the shortcomings of\np–n bulk heterojunction and exhibits typical synaptic properties\nbut also demonstrates a significantly enhanced response to ultraviolet\n(UV) light, exhibiting nearly four times more excitatory postsynaptic\ncurrent (ΔEPSC) compared to the device lacking PCBM. The transistor\nmatrix was employed to simulate the image perception and memory functions\nof the human neural vision system. Furthermore, an artificial neural\nnetwork with high recognition accuracy (∼95%) of handwritten\nnumbers was constructed. This study proposes an additional approach\nfor mitigating the issue of rapid recombination of photogenerated\ncharge carriers in the construction of optoelectronic synaptic transistors\nby utilizing p–n heterojunction.

Figshare
Openalex Percentile: Top 71%
Advanced Memory and Neural Computing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Organic Optoelectronic\nSynaptic Transistor with Enhanced\nUV Light Response Based on Insulating Polymer-Assisted p–n\nHeterojunction · Figshare (2024) | TGRS Research Map | TGRS