Enhanced Reliability and Controllability in Filamentary Oxide‐Based 3D Vertical Structured Resistive Memory with Pulse Scheme Algorithm for Versatile Neuromorphic Applications

Abstract This study explores the application of the incremental step pulse with verify algorithm (ISPVA) scheme in Pt/TiO X /TiN vertical resistive random‐access memory (VRRAM) devices to enhance both the reliability and controllability of resistive switching. ISPVA improves the linearity and symmetry of resistive switching, enabling accurate representation of up to 6‐bit states and ensuring precise transitions between low and high resistance states. Additionally, ISPVA ensures consistent current states across different layers, thereby improving electrical response uniformity and enhancing the performance of multilayer structures for high‐density applications. These improvements provide a stable memory window and guarantee the device's endurance for up to 1000 cycles. This study further demonstrates the implementation of various synaptic memory functions, including spike‐time‐dependent plasticity (STDP), spike‐number‐dependent plasticity (SNDP), spike‐amplitude‐dependent plasticity (SADP), spike‐duration‐dependent plasticity (SDDP), and spike‐rate‐dependent plasticity (SRDP). The findings also demonstrate that nociceptive and Pavlovian characteristics can be achieved for on‐receptor computing and associative learning. By integrating ISPVA and advanced fabrication techniques, VRRAM devices can effectively address challenges such as device‐to‐device variability and stochastic properties, thereby establishing a new benchmark for next‐generation computing and memory technologies.

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Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2025-04-24
DOI
https://doi.org/10.1002/adfm.202500956
Citations
16
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
11.69

Funders

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article

Enhanced Reliability and Controllability in Filamentary Oxide‐Based 3D Vertical Structured Resistive Memory with Pulse Scheme Algorithm for Versatile Neuromorphic Applications

Hyesung Na, Sungjun Kim
16 citations
Advanced Functional Materials
Advanced Memory and Neural Computing
11.69
article

Enhanced Reliability and Controllability in Filamentary Oxide‐Based 3D Vertical Structured Resistive Memory with Pulse Scheme Algorithm for Versatile Neuromorphic Applications

Hyesung Na, Sungjun Kim
article en
16 citations

Abstract

Abstract This study explores the application of the incremental step pulse with verify algorithm (ISPVA) scheme in Pt/TiO X /TiN vertical resistive random‐access memory (VRRAM) devices to enhance both the reliability and controllability of resistive switching. ISPVA improves the linearity and symmetry of resistive switching, enabling accurate representation of up to 6‐bit states and ensuring precise transitions between low and high resistance states. Additionally, ISPVA ensures consistent current states across different layers, thereby improving electrical response uniformity and enhancing the performance of multilayer structures for high‐density applications. These improvements provide a stable memory window and guarantee the device's endurance for up to 1000 cycles. This study further demonstrates the implementation of various synaptic memory functions, including spike‐time‐dependent plasticity (STDP), spike‐number‐dependent plasticity (SNDP), spike‐amplitude‐dependent plasticity (SADP), spike‐duration‐dependent plasticity (SDDP), and spike‐rate‐dependent plasticity (SRDP). The findings also demonstrate that nociceptive and Pavlovian characteristics can be achieved for on‐receptor computing and associative learning. By integrating ISPVA and advanced fabrication techniques, VRRAM devices can effectively address challenges such as device‐to‐device variability and stochastic properties, thereby establishing a new benchmark for next‐generation computing and memory technologies.

Advanced Functional MaterialsVol. 35(40)
Dongguk University (KR)
National Research Foundation, National Research Foundation of Korea, Ministry of Science and ICT, South Korea
Openalex Percentile: Top 1%
Advanced Memory and Neural Computing
11.69
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Enhanced Reliability and Controllability in Filamentary Oxide‐Based 3D Vertical Structured Resistive Memory with Pulse Scheme Algorithm for Versatile Neuromorphic Applications — Hyesung Na, Sungjun Kim · Advanced Functional Materials (2025) | TGRS Research Map | TGRS