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

Hyesung Na,

Sungjun Kim

Advanced Functional Materials, Год журнала: 2025, Номер unknown

Опубликована: Апрель 24, 2025

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

Язык: Английский

Multi-functional Synaptic Memristor for Neuromorphic Pattern Recognition and Image Compression DOI
Hao Sun, Siyuan Li, Xiaofei Dong

и другие.

Materials Today Physics, Год журнала: 2025, Номер unknown, С. 101684 - 101684

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

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

Hyesung Na,

Sungjun Kim

Advanced Functional Materials, Год журнала: 2025, Номер unknown

Опубликована: Апрель 24, 2025

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

Язык: Английский

Процитировано

0