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Updated: Jan 18, 2026

Fabrication of Ti3C2 MXene Microelectrode Arrays for In Vivo Neural Recording

Fabrication of Ti3C2 MXene Microelectrode Arrays for In Vivo Neural Recording

Published on: February 12, 2020

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

Lin Lu^1,2, Bo Sun^1,2, Zheng Wang^1,2

¹School of Integrated Circuits, Shandong University, Jinan, 250100, China.

Nano-Micro Letters

|September 12, 2025

Summary

This summary is machine-generated.

Two-dimensional MXenes show promise for neuromorphic computing electronics like sensors. However, challenges in stability, cost, and scalability must be addressed for practical applications.

Keywords:

MXenes Multimodal intelligent system Neuromorphic computing Sensor Two-dimensional Wearable electronics

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Area of Science:

Materials Science
Nanotechnology
Computer Engineering

Background:

Emerging two-dimensional (2D) materials called carbides and nitrides (MXenes) possess tunable properties.
MXenes exhibit remarkable electrical, optical, mechanical, and electrochemical characteristics.
These properties make MXenes highly suitable for brain-inspired neuromorphic computing electronics.

Purpose of the Study:

To provide a forward-looking review of MXene research in neuromorphic sensing.
To discuss critical challenges hindering the practical deployment of MXenes.
To offer insights into future research directions for MXene integration in neuromorphic computing.

Main Methods:

Literature review of recent advancements in MXene-based neuromorphic sensing.
Analysis of key bottlenecks and unresolved issues in MXene material science and device engineering.
Identification of convergence opportunities with emerging technologies.

Main Results:

MXenes show significant potential in neuromorphic gas sensors, pressure sensors, and photodetectors.
Key challenges identified include long-term stability, high production costs, scalability, and mechanical mismatch for wearables.
Interfacial compatibility in heterostructures and energy inefficiency in signal conversion are critical unresolved issues.

Conclusions:

Addressing stability, cost, and scalability is crucial for MXene commercialization in neuromorphic sensing.
Further research is needed to improve interfacial compatibility and energy efficiency in MXene-based neuromorphic devices.
Convergence with other technologies can enhance MXene integration and performance in future neuromorphic applications.