Memristive Baffle Systems: Design, Simulation, and Applications

Valence change memory (VCM)-based memristors have emerged as promising artificial synapses for neuromorphic computing, yet their nonlinear conductance modulation and limited endurance remain major bottlenecks. Here, we introduce the baffle system concept into HfO<sub>2</sub>-based VCM memristors to regulate oxygen vacancy (V<sub>O</sub>) transport and improve both synaptic linearity and cycling reliability. Guided by a multiscale simulation framework that integrates density functional theory calculations and finite element method-based multiphysics modeling, dual Al<sub>2</sub>O<sub>3</sub> interlayers were strategically incorporated as nanoscale barriers within the HfO<sub>2</sub> matrix to modulate V<sub>O</sub> migration. The appropriately engineered baffle barriers promote lateral filament growth, enhancing synaptic linearity by up to 43%, while simultaneously confining V<sub>O</sub>s to achieve over a 60× improvement in endurance. The proposed memristive baffle system provides a practical materials design strategy for precise control of ion transport and filament dynamics, contributing to the development of advanced memristive materials and enhancing their feasibility for neuromorphic applications.

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Publication Details

Journal
Advanced Science
Published
2026-03-03
DOI
https://doi.org/10.1002/advs.202523273
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
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article

Memristive Baffle Systems: Design, Simulation, and Applications

M. Ko, Woon Hyung Cheong, Juseong Park, Kyung Min Kim et al.
Advanced Science
Advanced Memory and Neural Computing
article

Memristive Baffle Systems: Design, Simulation, and Applications

M. Ko, Woon Hyung Cheong, Juseong Park, Kyung Min Kim, Dohyun Kim, Jung-Hae Choi, Woojoon Park, Taeyoung Jeong, Eun Young Kim, Sumin Ju
article en

Abstract

Valence change memory (VCM)-based memristors have emerged as promising artificial synapses for neuromorphic computing, yet their nonlinear conductance modulation and limited endurance remain major bottlenecks. Here, we introduce the baffle system concept into HfO<sub>2</sub>-based VCM memristors to regulate oxygen vacancy (V<sub>O</sub>) transport and improve both synaptic linearity and cycling reliability. Guided by a multiscale simulation framework that integrates density functional theory calculations and finite element method-based multiphysics modeling, dual Al<sub>2</sub>O<sub>3</sub> interlayers were strategically incorporated as nanoscale barriers within the HfO<sub>2</sub> matrix to modulate V<sub>O</sub> migration. The appropriately engineered baffle barriers promote lateral filament growth, enhancing synaptic linearity by up to 43%, while simultaneously confining V<sub>O</sub>s to achieve over a 60× improvement in endurance. The proposed memristive baffle system provides a practical materials design strategy for precise control of ion transport and filament dynamics, contributing to the development of advanced memristive materials and enhancing their feasibility for neuromorphic applications.

Advanced Science
Seoul National University (KR), Korea Advanced Institute of Science and Technology (KR), Korea Institute of Science and Technology (KR)
Openalex Percentile: Top 37%
Advanced Memory and Neural Computing
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Memristive Baffle Systems: Design, Simulation, and Applications — M. Ko, Woon Hyung Cheong, et al. · Advanced Science (2026) | TGRS Research Map | TGRS