Issue

Vol. 18 (2026)

Two-Dimensional MXene-Based Advanced Sensors for Neuromorphic Computing Intelligent Application

https://doi.org/10.1007/s40820-025-01902-1
Lin Lu
School of Integrated Circuits, Shandong University, Jinan 250100, China
Bo Sun
School of Integrated Circuits, Shandong University, Jinan 250100, China
Zheng Wang
School of Integrated Circuits, Shandong University, Jinan 250100, China
Jialin Meng
School of Integrated Circuits, Shandong University, Jinan 250100, China
Tianyu Wang
School of Integrated Circuits, Shandong University, Jinan 250100, China

Corresponding Author: Tianyu Wang

tywang@sdu.edu.cn

Nano-Micro Letters, Vol. 18 (2026), Article Number: 64

Abstract

As emerging two-dimensional (2D) materials, carbides and nitrides (MXenes) could be solid solutions or organized structures made up of multi-atomic layers. With remarkable and adjustable electrical, optical, mechanical, and electrochemical characteristics, MXenes have shown great potential in brain-inspired neuromorphic computing electronics, including neuromorphic gas sensors, pressure sensors and photodetectors. This paper provides a forward-looking review of the research progress regarding MXenes in the neuromorphic sensing domain and discussed the critical challenges that need to be resolved. Key bottlenecks such as insufficient long-term stability under environmental exposure, high costs, scalability limitations in large-scale production, and mechanical mismatch in wearable integration hinder their practical deployment. Furthermore, unresolved issues like interfacial compatibility in heterostructures and energy inefficiency in neuromorphic signal conversion demand urgent attention. The review offers insights into future research directions enhance the fundamental understanding of MXene properties and promote further integration into neuromorphic computing applications through the convergence with various emerging technologies.


Highlights:
1 The latest research progress in the field of MXene-based neuromorphic computing is reviewed.
2 The design strategy of MXene-based neuromorphic devices encompasses multiple factors are summarized, including material selection, circuit integration, and architecture optimization.
3 Future development paths for MXene-based neuromorphic computing are discussed, including large-scale manufacturing, stability enhancement, and interdisciplinary integration.

Keywords

Two-dimensional MXenes Sensor Neuromorphic computing Multimodal intelligent system Wearable electronics
Lu, Lin, Bo Sun, Zheng Wang, Jialin Meng, and Tianyu Wang. 2025. “Two-Dimensional MXene-Based Advanced Sensors for Neuromorphic Computing Intelligent Application”. Nano-Micro Letters 18 (September):64. https://doi.org/10.1007/s40820-025-01902-1.
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