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Defect-engineered hydrogen-terminated diamond optoelectronic synapses for UV-driven neuromorphic computing.

Lingxue Meng1, Jianyu Wang2, Linhai Guo1

  • 1Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China; University of Chinese Academy of Sciences, Beijing 100049, China.

Journal of Colloid and Interface Science
|June 6, 2026
PubMed
Summary
This summary is machine-generated.

Researchers developed a new hydrogen-terminated diamond (H-diamond) synaptic transistor for energy-efficient neuromorphic computing. This UV-sensitive device emulates synaptic functions and achieves high accuracy in neural network tasks.

Keywords:
DiamondsOptoelectronic synaptic devicesSpiking neural networksSynaptic plasticity

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Area of Science:

  • Materials Science
  • Neuroscience
  • Computer Engineering

Background:

  • Neuromorphic computing offers energy-efficient alternatives to traditional architectures.
  • Diamond's properties are ideal for robust computing, but its use in neuromorphic applications is underexplored.
  • Hydrogen-terminated diamond (H-diamond) presents a novel platform for exploring these applications.

Purpose of the Study:

  • To investigate the potential of H-diamond in optoelectronic synaptic transistors.
  • To engineer H-diamond devices for neuromorphic computing applications.
  • To demonstrate synaptic behaviors and logic operations using H-diamond.

Main Methods:

  • Fabrication of an H-diamond-based optoelectronic synaptic transistor by engineering defects and surface states.
  • Characterization of device performance under 365 nm UV illumination.
  • Implementation of a spiking neural network using measured device conductance states.

Main Results:

  • The device exhibited tunable persistent photoconductivity, enabling emulation of synaptic plasticity.
  • Demonstrated essential synaptic behaviors and logic operations.
  • Achieved 84.95% recognition accuracy on the Fashion-MNIST dataset using a spiking neural network.

Conclusions:

  • H-diamond is a promising material for developing robust, UV-sensitive neuromorphic devices.
  • This work establishes a benchmark for diamond-based neuromorphic computing.
  • Engineered H-diamond transistors can emulate synaptic functions for advanced information processing.