Alkali Ion‐Incorporated HfO <sub>2</sub> Dielectrics for Reconfigurable Neuromorphic Computing

Abstract 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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Publication Details

Journal
Advanced Functional Materials
Published
2025-11-13
DOI
https://doi.org/10.1002/adfm.202521002
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

Alkali Ion‐Incorporated HfO 2 Dielectrics for Reconfigurable Neuromorphic Computing

Dong Gue Roe, Seonkwon Kim, Cheol Kwak, Jeong Ho Cho et al.
Advanced Functional Materials
Advanced Memory and Neural Computing
article

Alkali Ion‐Incorporated HfO 2 Dielectrics for Reconfigurable Neuromorphic Computing

Dong Gue Roe, Seonkwon Kim, Cheol Kwak, Jeong Ho Cho, Seung Jun Ki, Joohoon Kang, Se‐Jin Kim, Jihyun Kim
article en

Abstract

Abstract 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.

Advanced Functional MaterialsVol. 36(24)
Yonsei University (KR), University of Pennsylvania (US)
National Research Foundation, Ministry of Trade, Industry and Energy, National Research Foundation of Korea, Ministry of Science and ICT, South Korea
Openalex Percentile: Top 66%
Advanced Memory and Neural Computing
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