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Chemically configurable analogue memristors, via the chemiresistive response of oxidized MXene

Authors
Kundale, Somnath S.Abubakr, MuhammadPark, JihyeMorales, Fernando OrdonezDevara, I. Ketut GaryLestari, Windy AyuChatterjee, RiyaNam, Sang YongPark, Jun Hong
Issue Date
Jul-2025
Publisher
Royal Society of Chemistry
Citation
Materials Horizons, v.12, no.15, pp 5677 - 5688
Pages
12
Indexed
SCIE
SCOPUS
Journal Title
Materials Horizons
Volume
12
Number
15
Start Page
5677
End Page
5688
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/79107
DOI
10.1039/d5mh00834d
ISSN
2051-6347
2051-6355
Abstract
The integration of gas sensing and neuromorphic computing within a single device offers a transformative architecture for artificial olfaction and edge-level intelligent perception. In this study, we demonstrate the feasibility of analogue chemiresistive memristors with an Au/oxidized MXene/Au structure for multifunctional operation. The hydrothermally oxidized MXene, rich in active sites favorable for redox reactions, enables modulation of conductance states via CO2 and NO2 gas adsorption on its surface. This dual electrical and molecular tuning yields distinctly separable conductance states, essential for emulating artificial synaptic functions. The device exhibits clear analogue resistive switching and both volatile and non-volatile memory behaviors under electrical and molecular stimuli, indicative of reliable synaptic plasticity. Moreover, gas exposure induces electrical potentiation and depression of conductance states, replicating key features of olfactory synaptic behavior. Its dynamic response to gas pulses, long-term retention, and pulse-dependent plasticity highlight its ability to store and process environmental chemical stimuli in real time. To validate its neuromorphic computing capability, an artificial neural network (ANN) was implemented using the digit-MNIST and fashion-MNIST datasets, achieving recognition accuracies of 95% and 82%, respectively. These results confirm the potential for integrated sensing and computation on a single platform.
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대학원 (나노신소재융합공학과)
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