Exciton delocalization and optical synaptic functionality in conjugated polymer–In 2 Se 3 heterostructures

View at publisher
Authors: Md Saifuddin, Shantanu Dhara, Sourav Dey, Suman Kumar Ghosh, P. K. Giri
Cited by: 1
References: 45

Abstract

, revealing short-term memory, long-term memory, and learning-experience behavior. An artificial neural network simulation achieved 88% accuracy in recognizing MNIST handwritten digits, which is significant in the context of OIH synapses. This work provides new insights by revealing the intricate relationships between material properties, exciton dynamics, and OIH charge-transfer pathways, paving the way for the development of more-efficient and -effective neuromorphic devices.

Fields of Study & Subjects

Organic Electronics and Photovoltaics Quantum Dots Synthesis And Properties Perovskite Materials and Applications

Publication details

Journal / source
Nanoscale Horizons
Publisher
Royal Society of Chemistry (RSC)
Volume
11
Issue
8
Pages
2147–2157
Publication date
1 January 2026
Language
EN