Bioinspired AlFeO3 Memristor with Sensing, Storage, and Synaptic Functionalities
In conventional designs, sensory systems are segregated from memory and computing
units. The conversion and transmission of data from analog sensing domains to digital …
units. The conversion and transmission of data from analog sensing domains to digital …
Flexible TiO2-WO3−x hybrid memristor with enhanced linearity and synaptic plasticity for precise weight tuning in neuromorphic computing
Abstract Tungsten oxide (WO3)-based memristors show promising applications in
neuromorphic computing. However, single-layer WO3 memristors suffer from issues such as …
neuromorphic computing. However, single-layer WO3 memristors suffer from issues such as …
Volatile tin oxide memristor for neuromorphic computing
D Ju, S Kim - Iscience, 2024 - cell.com
The rise of neuromorphic systems has addressed the shortcomings of current computing
architectures, especially regarding energy efficiency and scalability. These systems use …
architectures, especially regarding energy efficiency and scalability. These systems use …
TiN/TiOx/WOx/Pt heterojunction memristor for sensory and neuromorphic computing
D Ju, J Lee, H So, S Kim - Journal of Alloys and Compounds, 2024 - Elsevier
The advancement of artificial intelligence (AI) has spurred increasing demands for efficiency,
as AI technologies require rapid processing and large-scale data handling to perform …
as AI technologies require rapid processing and large-scale data handling to perform …
Versatile NbOx‐Based Volatile Memristor for Artificial Intelligent Applications
D Ju, S Kim - Advanced Functional Materials, 2024 - Wiley Online Library
To achieve cost‐effectiveness, researchers are exploring various memristors for their
adaptation in neuromorphic computing. Recent studies have focused on developing …
adaptation in neuromorphic computing. Recent studies have focused on developing …
Dynamic memristor array with multiple reservoir states for training efficient neuromorphic computing
M Noh, D Ju, S Kim - Journal of Materials Chemistry C, 2024 - pubs.rsc.org
In this study, we evaluated the performance of a Pt/Al/TiOy/TiOx/Al2O3/Pt RRAM array
device in synaptic and reservoir computing applications. The device exhibited excellent …
device in synaptic and reservoir computing applications. The device exhibited excellent …
Dual functionality of NbO x memristors for synaptic and neuronal emulations in advanced neuromorphic systems
In this study, we reveal a novel NbOx memristor structure that significantly advances
neuromorphic computing by modulating compliance current (CC). This structure emulates …
neuromorphic computing by modulating compliance current (CC). This structure emulates …
[HTML][HTML] Temporal multibit operation of dynamic memristor for reservoir computing
D Ju, S Kim - Results in Physics, 2024 - Elsevier
The exponential growth of data in our society following the fourth industrial revolution has
exposed the limitations of existing technologies. The current computing architecture …
exposed the limitations of existing technologies. The current computing architecture …
Leaky 2T Dynamic Random-Access Memory Devices Based on Nanometer-Thick Indium–Gallium− Zinc-Oxide Films for Reservoir Computing
J Jang, S Kim, S Park, S Kim, S Kim… - ACS Applied Nano …, 2024 - ACS Publications
This paper explores the integration of indium–gallium–zinc oxide (IGZO)-based 2-transistor
0-capacitor dynamic random-access memory (2T0C DRAM, or shortly, 2T DRAM) into …
0-capacitor dynamic random-access memory (2T0C DRAM, or shortly, 2T DRAM) into …
Improvement of volatile switching in scaled silicon nanofin memristor for high performance and efficient reservoir computing
Conductive-bridge random access memory can be used as a physical reservoir for temporal
learning in reservoir computing owing to its volatile nature. Herein, a scaled Cu/HfO x/n+-Si …
learning in reservoir computing owing to its volatile nature. Herein, a scaled Cu/HfO x/n+-Si …