Chemically configurable analogue memristors, <i>via</i> the chemiresistive response of oxidized MXene

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 <i>via</i> CO<sub>2</sub> and NO<sub>2</sub> 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.

Authors

Institutions

Publication Details

Journal
Materials Horizons
Published
2025-01-01
DOI
https://doi.org/10.1039/d5mh00834d
Citations
6
Primary Topic
MXene and MAX Phase Materials
Type
article
Field-Weighted Citation Impact
3.11

Funders

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

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

Sang Yong Nam, R. K. Chatterjee, Somnath Suhas Kundale, Fernando Ordonez Morales et al.
6 citations
Materials Horizons
MXene and MAX Phase Materials
3.11
article

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

Sang Yong Nam, R. K. Chatterjee, Somnath Suhas Kundale, Fernando Ordonez Morales, Jun Hong Park, Muhammad Abubakr, I Ketut Gary Devara, Jihye Park, Windy Ayu Lestari
article en
6 citations

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 <i>via</i> CO<sub>2</sub> and NO<sub>2</sub> 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.

Materials HorizonsVol. 12(15)
Gyeongsang National University (KR)
National Research Foundation, Gyeongsang National University, Ministry of Education, National Research Foundation of Korea
Openalex Percentile: Top 8%
MXene and MAX Phase Materials
3.11
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.