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Analog Synaptic Plasticity in 2D Layered Material Iontronic Memtransistors for Brain-Inspired Computing.

Created on 18 Aug 2026

Authors

Puranjay Saha, Saptarshi Bej, Bikas C Das

Published in

Advanced science (Weinheim, Baden-Wurttemberg, Germany). Pages e77150. Aug 18, 2026. Epub Aug 18, 2026.

Abstract

A simple iontronic memtransistor capable of emulating synaptic plasticity and cognitive functions showcases high performance and low energy consumption, fostering admiration for its efficiency. Here, we report the versatile, high-performance memtransistor behavior of a solid polymer electrolyte-gated few-layer thick two-dimensional molybdenum disulfide (2D MoS2) channel. Transfer characteristics exhibit pinched hysteresis, confirming n-channel enhancement-mode operation, supported by the low-voltage drain characteristics under the influence of the electrical double layer (EDL) formed by iontronic gating. The memtransistor shows a reproducible non-volatile memory window in its transfer characteristics with conductance retention exceeding 103 s and endurance beyond 103 switching cycles. Mechanistic studies reveal coupled slow ion migration and dipolar relaxation processes coexisting with purely electronic transport in the 2D material channel, highlighting mixed ionic-electronic carrier dynamics. Using tailored input-output pulse schemes, the device demonstrates key synaptic and cognitive learning functionalities with lower energy consumption per event and faster response speed down to the microsecond regime. Furthermore, higher-order behaviors such as Atkinson-Shiffrin-type memory behavior, Pavlovian associative learning, and logic gate operations are achieved. These achievements confirm the potential of our 2D iontronic memtransistor (IMT) as a reliable, reproducible building block for next-generation brain-inspired computing systems.

PMID:
42610525
Bibliographic data and abstract were imported from PubMed on 18 Aug 2026.

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