Ultralow Energy Optoelectronic Synapse Using Halide Perovskite/Organic Semiconductor Heterostructure for Neuromorphic Computing, Optical Logic and Wireless Communication

)/Poly(3-hexylthiophene) (P3HT) heterojunction in a two-terminal vertical structure. The synaptic device exhibits key synaptic characteristics, such as excitatory postsynaptic current (EPSC), paired-pulse facilitation (PPF), and achieves a transition from short-term to long-term memory with an exceptionally low energy consumption of 0.59 fJ per synaptic event, and successfully emulates biological learning behavior, such as learning-forgetting-relearning. Long-term potentiation (LTP) enables efficient visual object recognition with 90.31% accuracy on the Modified National Institute of Standards and Technology (MNIST) data set using an artificial neural network (ANN). In addition, light logic functions ("AND", "OR") and associative learning (Pavlov's dog experiment) are demonstrated using 405 and 532 nm pulses. More significantly, optical wireless communication is experimentally performed using Morse code for words such as IITG, 2025, HELP, and SOS. Moreover, the device achieves 86.76% pixel-wise accuracy in the semantic segmentation of urban street scenes using a U-Net model. Finally, the working mechanism of the device, attributed to the efficient photogeneration of carriers and accumulation of electrons at the perovskite side, offers deep insights into the optoelectronic plasticity. These findings show the path toward the development of a highly integrated, photonic neuromorphic device for future intelligent systems.

Authors

Institutions

Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2026-04-28
DOI
https://doi.org/10.1021/acsami.6c03922
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ultralow Energy Optoelectronic Synapse Using Halide Perovskite/Organic Semiconductor Heterostructure for Neuromorphic Computing, Optical Logic and Wireless Communication

Debabrata Sahu, Sanju Nandi, Sanjoy Sur Roy, P. K. Giri et al.
ACS Applied Materials & Interfaces
Advanced Memory and Neural Computing
article

Ultralow Energy Optoelectronic Synapse Using Halide Perovskite/Organic Semiconductor Heterostructure for Neuromorphic Computing, Optical Logic and Wireless Communication

Debabrata Sahu, Sanju Nandi, Sanjoy Sur Roy, P. K. Giri, Garima Choudhary
article en

Abstract

)/Poly(3-hexylthiophene) (P3HT) heterojunction in a two-terminal vertical structure. The synaptic device exhibits key synaptic characteristics, such as excitatory postsynaptic current (EPSC), paired-pulse facilitation (PPF), and achieves a transition from short-term to long-term memory with an exceptionally low energy consumption of 0.59 fJ per synaptic event, and successfully emulates biological learning behavior, such as learning-forgetting-relearning. Long-term potentiation (LTP) enables efficient visual object recognition with 90.31% accuracy on the Modified National Institute of Standards and Technology (MNIST) data set using an artificial neural network (ANN). In addition, light logic functions ("AND", "OR") and associative learning (Pavlov's dog experiment) are demonstrated using 405 and 532 nm pulses. More significantly, optical wireless communication is experimentally performed using Morse code for words such as IITG, 2025, HELP, and SOS. Moreover, the device achieves 86.76% pixel-wise accuracy in the semantic segmentation of urban street scenes using a U-Net model. Finally, the working mechanism of the device, attributed to the efficient photogeneration of carriers and accumulation of electrons at the perovskite side, offers deep insights into the optoelectronic plasticity. These findings show the path toward the development of a highly integrated, photonic neuromorphic device for future intelligent systems.

ACS Applied Materials & Interfaces
Indian Institute of Technology Guwahati (IN)
Ministry of Electronics and Information technology
Affordable and clean energy
Openalex Percentile: Top 7%
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.