journal article·2025Open access

Optically/electrically controlled Ag + metallization in solution-processed oxide memtransistors for neuromorphic computing

Rajarshi Chakraborty, Himanshu Singodia, Subarna Pramanik, Akhilesh Kumar Yadav, Utkarsh Pandey, Ranajit Ghosh, Bhola Nath Pal

Nanoscale· Volume 17· Issue 47

Abstract

In this work, a solution-processable oxide-based memtransistor is designed for neuromorphic computing, incorporating LiInSnO4 as the gate dielectric, SnO2 as the semiconducting channel, and Ag+-exchanged LiV3O8 as the resistive switching medium. The device demonstrates dual tunability in its channel conductance through both gate voltage and light modulation, enabling precise control over its switching characteristics. Operating at low voltages, the memtransistor achieves an LRS/HRS ratio of up to 103, with stable performance across 103 switching cycles, over 106 pulse cycles, and retention up to 105 seconds. The device effectively replicates essential synaptic functions such as paired-pulse facilitation and short- and long-term plasticity, with ultra-low energy consumption: 193 pJ (0.1 fJ μm-2) optically and 540 pJ (0.3 fJ μm-2) electrically. It also shows low non-linearity in potentiation/depression events, 0.49/3.47 (optical) and 0.03/5.67 (electrical), facilitating accurate synaptic weight modulation. Light-driven logic operations and cognitive functions, learning, forgetting, and relearning are successfully demonstrated, along with Pavlovian classical conditioning. Neural network simulations confirm 98% and 95% recognition accuracy for optical and electrical synapses, while autoencoder-based denoising and data reconstruction further validate the applicability of the device in brain-inspired computing.
Source: europepmc · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Advanced Memory and Neural Computing · Neural Networks and Reservoir Computing · Analytical Chemistry and Sensors

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Materials Science and Technology, Indian Institute of Technology (Banaras Hindu University) Varanasi, Varanasi-221005, Uttar Pradesh, India

CSIR-Central Mechanical Engineering Research Institute, Durgapur-713209, West Bengal, India

Funding

Science and Engineering Research Board · Department of Science and Technology, Ministry of Science and Technology

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