This work demonstrates enhanced long-term memory in neuromorphic computing using sodium fluoride-embedded hafnium dioxide dielectrics, indicating improved synaptic plasticity.
Neuromorphic computing system requires precise control over synaptic retention characteristics to emulate both short‐term and long‐term memory functions of biological neural networks. Here, a solution‐processed approach is presented for the fabrication of alkali metal cation‐embedded hafnium dioxide (HfO 2 ) dielectrics that promote tunable synaptic behavior in transistor‐based electronics. By incorporating sodium fluoride (NaF) into electrochemically exfoliated hafnium disulfide (HfS 2 ) nanosheets, followed by thermal oxidation, a uniform, ultrathin (≈8 nm) HfO 2 film is produced with embedded mobile alkali ions on a wafer‐scale substrate. With a semiconducting indium gallium zinc oxide layer, the resulting transistors demonstrate distinct retention characteristics, with pristine HfO 2 ‐based devices exhibiting short‐term switching behavior and NaF‐incorporated HfO 2 (NaF‐HfO 2 )‐based devices demonstrating long‐term retention exceeding 30 s with tunable synaptic plasticity. It successfully demonstrates the practical application of these ion‐engineered dielectrics in 1‐transistor‐1‐synapse memory arrays, synaptic comparators, and reconfigurable AND/OR logic gates that mimic brain‐like information processing. The solution‐processable approach expands the range of dielectric modification, providing a scalable pathway for next‐generation neuromorphic computing technologies with controllable synaptic functionalities.
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Ki et al. (2025) studied this question.
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