Toward On-Receptor Computing: Electronic Nociceptor of an All-Oxide Invisible Biomimetic Memristor DOI
Debashis Panda,

Arpan Acharya,

Cheng‐Yao Lo

и другие.

ACS Applied Electronic Materials, Год журнала: 2024, Номер 7(1), С. 489 - 499

Опубликована: Дек. 23, 2024

A flexible ITO/ZnO/TiOx/ITO memristor has been confirmed to be a suitable candidate for nociceptors by demonstrating all of the typical nociceptive characteristics. The annealing effect on synapse is explored using different time variants invisible (above 90% transparency in visible region) device. 10 min annealed device found one its bipolar nonvolatile gradual switching with over 3000 cycles endurance and >104 s retention. Device-to-device uniformity reproducibility have achieved narrow distribution set, reset, forming voltages. Synaptic behaviors like long-term potentiation depression 800 nearly linear potentiation-depression nonlinearity (Np/Nd = 3/0.3), as well short-term plasticity, make it capable neuromorphic computing applications.

Язык: Английский

Versatile NbOx‐Based Volatile Memristor for Artificial Intelligent Applications DOI Open Access

Dongyeol Ju,

Sungjun Kim

Advanced Functional Materials, Год журнала: 2024, Номер unknown

Опубликована: Сен. 2, 2024

Abstract To achieve cost‐effectiveness, researchers are exploring various memristors for their adaptation in neuromorphic computing. Recent studies have focused on developing versatile functioning singular memristors, such as those involved on‐receptor computing, which integrates sensory functions into current computing paradigms. Additionally, adaptations like reservoir being investigated systems. In this study, a memristor composed of stack Ti/NbO x /Pt layers is fabricated to explore multifunctional behaviors within single memristor. By applying bias toward the top Ti electrode, gradual changes with volatile features demonstrated, revealing an ion‐migration‐based nonfilamentary switching Leveraging functionality, artificial nociceptor first implemented, demonstrating key biological nociceptors including thresholding, relaxation, no‐adaptation, and sensitization. Subsequently, synapse emulation akin brain achieved through easy conductance potentiation depression diverse functions, enabling mimic learning activities spike firing. Lastly, computational applications explored by adapting edge multi‐bit expanding memristor's across fields behaviors.

Язык: Английский

Процитировано

8

Physical reservoir computing-based online learning of HfSiOx ferroelectric tunnel junction devices for image identification DOI
Seungjun Lee, Gaoyun An,

Gimun Kim

и другие.

Applied Surface Science, Год журнала: 2025, Номер unknown, С. 162459 - 162459

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1

Demonstration of cognitive learning, associative learning, and multi-bit reservoir computing using TiOx/HfOx-based volatile memristor with low current DOI
Hyuk‐Jae Jang,

Dongyeol Ju,

Sungjun Kim

и другие.

Journal of Alloys and Compounds, Год журнала: 2025, Номер unknown, С. 178897 - 178897

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1

On-receptor computing utilizing vertical-structured cost-effective memristor DOI

Dongyeol Ju,

Subaek Lee,

Jungwoo Lee

и другие.

Journal of Alloys and Compounds, Год журнала: 2024, Номер 998, С. 174926 - 174926

Опубликована: Май 20, 2024

Язык: Английский

Процитировано

4

Surfing the Growth Parameters in the Quest for Low‐Power, Forming‐Free, and Highly Stable TiOx Memristors for Nanoscale Electronics DOI Open Access
Dilruba Hasina, Aparajita Mandal, S. K. Srivastava

и другие.

Small, Год журнала: 2025, Номер unknown

Опубликована: Янв. 16, 2025

Understanding the resistive switching (RS) behavior of oxide-based memory devices at nanoscale is crucial for advancement high-integration density in-memory computing platforms. This study explores a comprehensive growth parameter space to address RS pulsed-laser-deposited substoichiometric TiO2 (TiOx) thin films in search tailored memristors with low-power consumption and high stability. Conductive-atomic-force-microscopy-based measurements facilitate deciphering nanoscale, providing direct avenue understand microstructure-property relationships. The present investigation reveals that rutile TiOx an optimal stoichiometric configuration exhibits superior attributes, enabling forming-free, low-power, highly stable functionalities nanoscale. By contrast, expected formation Magnéli phase within defective as-grown film hinders occurrence switching. Detailed analyses yield parametric diagram, valuable insights predict parameters fabricating on-demand TiOx-based devices. As bulk attributes do not always translate seamlessly leads pathway develop electronics promoting their integration into ultrahigh-density, low-energy-consuming advanced technologies across diverse disciplines including robotics, data storage, sensing.

Язык: Английский

Процитировано

0

Self‐Rectifying Volatile Memristor for Highly Dynamic Functions DOI Open Access

Dongyeol Ju,

Minseo Noh,

Seung Jun Lee

и другие.

Advanced Functional Materials, Год журнала: 2025, Номер unknown

Опубликована: Фев. 19, 2025

Abstract In this study, a highly rectifying memristor composed of Pt/TaO x /TiN stack, incorporating complementary metal‐oxide semiconductor‐friendly metal oxide switching layer, is fabricated to assess its performance in diverse range applications. The exhibits characteristics due the Schottky barrier formed by work function difference between Pt and TiN electrodes. For compliance current 1 mA, displays volatile memory properties, attributed migration oxygen ions within TaO layer. Leveraging behavior, synaptic functions—where changes plasticity occur response incoming spikes—are emulated. Additionally, complete functions biological nociceptor are demonstrated, including threshold, relaxation, no‐adaptation, sensitization, recovery. These dynamic then utilized mimic neuronal firing with array, Morse code implementation enabling data generation, computing through cost‐effective reservoir computing. simplicity fabrication process broad implemented single make device promising candidate for future

Язык: Английский

Процитировано

0

Cognitive Learning and Neuromorphic Systems Using Resistive Switching Random-Access Memory DOI

Minseo Noh,

Hyogeun Park,

Sungjun Kim

и другие.

ACS Applied Electronic Materials, Год журнала: 2025, Номер unknown

Опубликована: Март 8, 2025

Язык: Английский

Процитировано

0

On-receptor computing utilizing ZnO-based flexible memristor for wearable electronics DOI
Dilruba Hasina, Devajyoti Mukherjee

Applied Materials Today, Год журнала: 2025, Номер 44, С. 102664 - 102664

Опубликована: Март 14, 2025

Язык: Английский

Процитировано

0

Dynamic resistive switching of WOx-based memristor for associative learning activities, on-receptor, and reservoir computing DOI

Minseo Noh,

Hyogeun Park,

Sungjun Kim

и другие.

Chaos Solitons & Fractals, Год журнала: 2025, Номер 196, С. 116381 - 116381

Опубликована: Март 31, 2025

Язык: Английский

Процитировано

0

On-receptor computing with classical associative learning in semiconductor oxide memristors DOI

Dongyeol Ju,

Jungwoo Lee, Sungjun Kim

и другие.

Nanoscale, Год журнала: 2024, Номер 16(32), С. 15330 - 15342

Опубликована: Янв. 1, 2024

The increasing demand for energy-efficient data processing leads to a growing interest in neuromorphic computing that aims emulate cerebral functions. This approach offers cost-effective and rapid parallel processing, surpassing the limitations of conventional von Neumann architecture. Key this emulation is development memristors mimic biological synapses. Recently, research efforts have focused on incorporation nociceptors-sensory neurons capable detecting external stimuli-into applications robotics artificial intelligence. integration enables adapt various circumstances while remaining cost-effective. A nonfilamentary gradual resistive switching memristor utilized implement nociceptor synaptic behaviors. fabricated Pt/indium gallium zinc oxide (IGZO)/SnO

Язык: Английский

Процитировано

3