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Advancing Flexible Optoelectronic Synapses and Neurons with MXene-Integrated Polymeric Platforms
Hongsheng Xu1, Xiangyu Zeng2, Akeel Qadir3
1Industry-Education-Research Institute of Advanced Materials and Technology for Integrated Circuits, Anhui University, Hefei 230601, China.
Nanomaterials (Basel, Switzerland)
|October 15, 2025
Summary
MXenes, 2D materials, are advancing neuromorphic computing by enabling energy-efficient optoelectronic synapses and neurons. These MXene-based devices offer a path toward next-generation intelligent computing systems.
Area of Science:
- Materials Science
- Neuroscience
- Computer Engineering
Background:
- Neuromorphic computing mimics the brain for efficient information processing, surpassing traditional systems.
- MXenes, 2D transition metal carbides/nitrides, offer excellent conductivity, tunable chemistry, and flexibility for advanced electronics.
Purpose of the Study:
- To review recent advancements in MXene-based optoelectronic synapses and neurons for neuromorphic computing.
- To highlight the potential of MXenes in creating energy-efficient, brain-inspired computing hardware.
Main Methods:
- Examination of structural properties, device architectures, and operational mechanisms of MXene-based devices.
- Focus on synergistic electrical-optical modulation in synaptic devices and integrate-and-fire dynamics in neuronal devices.
Main Results:
- MXene synaptic devices show improved energy efficiency, multilevel plasticity, and fast response times.
- MXene neurons exhibit essential dynamics for biologically inspired computations.
- Novel hardware platforms demonstrate programmable synaptic-neuronal switching using MXenes.
Conclusions:
- MXene-based optoelectronic devices are promising for low-power neuromorphic systems.
- Challenges in stability, reproducibility, and scalability need to be addressed for practical applications.
- Further research in synthesis and engineering will drive MXene applications in intelligent computing and sensory systems.
