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MXene-Ti3C2Tx-Based Neuromorphic Computing: Physical Mechanisms, Performance Enhancement, and Cutting-Edge Computing

  • Kaiyang Wang
  • , Shuhui Ren
  • , Yunfang Jia*
  • , Xiaobing Yan*
  • , Lizhen Wang*
  • , Yubo Fan*
  • *此作品的通讯作者
  • Beihang University
  • Nankai University
  • Hebei University

科研成果: 期刊稿件文献综述同行评审

摘要

This review reveals the advantages of MXene-Ti3C2Tx for neuromorphic devices, classifies the core physical mechanisms, and outlines strategies to drive targeted optimization and future innovation. The review outlines three key engineering strategies: doping engineering, interfacial engineering, and structural engineering, while also providing comprehensive guidance for material and device improvement. MXene-Ti3C2Tx-based devices demonstrate groundbreaking potential in next-generation computing, such as near-sensor computing and in-sensor computing, enabling faster and more energy-efficient data processing directly at the sensor level.

源语言英语
文章编号273
期刊Nano-Micro Letters
17
1
DOI
出版状态已出版 - 12月 2025

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