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Evaluates UV-driven neuromorphic computing efficiency in diamond synapses, suggesting new technology potential.
Bioinspired neuromorphic computing offers an energy-efficient route to information processing beyond the von Neumann architecture. Wide-bandgap semiconductors such as diamond combine high carrier mobility with outstanding thermal and chemical robustness, yet the potential of hydrogen-terminated diamond (H-diamond) in neuromorphic computing remains largely unexplored. Here, we report an H-diamond-based optoelectronic synaptic transistor realized by engineering bulk defects, hydrogen-induced surface states, and interface traps. Under 365 nm ultraviolet (UV) illumination, the device displays tunable persistent photoconductivity governed by defect-assisted carrier trapping and delayed release, enabling the emulation of essential synaptic behaviors and logic operations. Furthermore, a spiking neural network constructed from the experimentally measured conductance states attains a recognition accuracy of 84.95% on the Fashion-MNIST dataset. This work establishes a foundational benchmark for diamond-based neuromorphic devices and underscores the promise of H-diamond for robust, UV-sensitive information processing systems.
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Meng et al. (2026) studied this question.
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