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

Read full text
Authors: Lingxue Meng, Jianyu Wang, Linhai Guo, Xiuqi Wang, Yichen Wang, Xiaoying Zheng, Hao Zhu, Qiliang Li, Li Tian
Cited by: 1
References: 43

Abstract

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.

Fields of Study & Subjects

Advanced Memory and Neural Computing Neural Networks and Reservoir Computing Quantum-Dot Cellular Automata

Publication details

Journal / source
Journal of Colloid and Interface Science
Publisher
Elsevier BV
Volume
722
Pages
140876–140876
Publication date
3 June 2026
Language
EN