Results 61 to 70 of about 878 (167)

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, Volume 36, Issue 27, 2 April 2026.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Temperature‐Induced Nonvolatile Switching through Thermal Hysteresis in a Gd3Fe5O12/Ho3Fe5O12 Exchange‐Coupled Rare‐Earth Iron Garnet Bilayer

Advanced Functional Materials, Volume 36, Issue 29, 9 April 2026.
Reducing power consumption in spintronic memory remains a major challenge due to the need for high current densities. A bilayer of gadolinium and holmium iron garnets enables purely temperature‐induced, nonvolatile magnetic switching with bistable states within a ±25 K range. This approach achieves up to 66‐fold lower energy use than current spin–orbit
Junseok Kim, Phuoc Cao Van, Jong‐Ryul Jeong, Hyungyu Jin   +3 more
wiley   +1 more source

Impact of Cycling Induced Intercell Trapped Charge on Retention Charge Loss in 3-D NAND Flash Memory

IEEE Journal of the Electron Devices Society, 2020
As the 3D NAND technology developing toward more and more stack layers, it is essential to shrink the gate length (Lg) and inter-gate space (Ls). However, one of key concerns of scaling Lg/Ls 3D NAND flash is post-cycling data retention characteristics ...
Xinlei Jia, Lei Jin, Wei Hou, Zhiyu Wang, Songmin Jiang, Kaiwei Li, Dejia Huang, Hongtao Liu, Wenzhe Wei, Jianwei Lu, An Zhang, Zongliang Huo   +11 more
doaj   +1 more source

Recent Progress and Opportunities in Oxide Semiconductor Devices for In‐Memory and Neuromorphic Computing

Advanced Electronic Materials, Volume 12, Issue 7, 6 April 2026.
This review surveys oxide‐semiconductor devices for in‐memory and neuromorphic computing, highlighting recent progress and remaining challenges in charge‐trap, ferroelectric, and two‐transistor devices. Oxide semiconductors, featuring ultra‐low leakage, low‐temperature processing, and back‐end‐of‐line compatibility, are explored for analog in‐memory ...
Suwon Seong, Taejun Ha, Sangwook Jung, Wontae Jeong, Yoonyoung Chung   +4 more
wiley   +1 more source

Materials Design Principles for Large Memory Windows: Coercive Voltage Engineering in Ferroelectric– Dielectric Heterostructures

Advanced Electronic Materials, Volume 12, Issue 8, 20 April 2026.
Coercive voltage enhancement in hafnia‐based ferroelectric–dielectric heterostructures is shown to originate from leakage‐governed voltage division between the ferroelectric and dielectric layers. Through experiments, circuit modeling, and defect‐based simulations, a universal framework is established to engineer large memory windows without altering ...
Prasanna Venkatesan, Hari Jayasankar, Salma Soliman, Priyankka Ravikumar, Lance Fernandes, Chinsung Park, Amrit Garlapati, Chengyang Zhang, Sanghyun Kang, Shimeng Yu, Suman Datta, Asif Khan, Mengkun Tian, Zheng Wang, Kijoon Kim, Kwangyou Seo, Kwangsoo Kim, Wanki Kim, Daewon Ha, Luca Larcher, Gaurav Thareja, Andrea Padovani   +21 more
wiley   +1 more source

Systematic Analysis of Spacer and Gate Length Scaling on Memory Characteristics in 3D NAND Flash Memory

Applied Sciences
This study investigates the impact of oxide/nitride (ON) pitch scaling on the memory performance of 3D NAND flash memory. We aim to enhance 3D NAND flash memory by systematically reducing the spacer length (Ls) and gate length (Lg) to achieve improved ...
Hee Young Bae, Seul Ki Hong, Jong Kyung Park   +2 more
doaj   +1 more source

Self-Organizing Mapping Neural Network Implementation Based on 3-D NAND Flash for Competitive Learning

IEEE Journal of the Electron Devices Society
Self-organizing Map (SOM) neural network is a prominent algorithm in unsupervised machine learning, which is widely used for data clustering, high-dimensional visualization, and feature extraction.
Anyi Zhu, Lei Jin, Wen Zhou, Tianchun Ye, Zongliang Huo   +4 more
doaj   +1 more source

BABOL: A Software-Defined NAND Flash Controller

2024 57th IEEE/ACM International Symposium on Microarchitecture (MICRO)
NAND Flash Storage Controllers are a crucial component of Solid State Drives (SSDs). They provide an abstractionof Flash packages to the SSD firmware by translating high-leveloperations, such as a Page Program or a Block Erase, into lowlevel signals. In theory, the Open NAND Flash Interface (ONFI)specification standardizes this interface.
Kibin Park, Alberto Lerner, Sangjin Lee 0001, Philippe Bonnet, Yong Ho Song, Philippe Cudré-Mauroux, Jungwook Choi   +6 more
openaire   +1 more source

Investigation of the Connection Schemes between Decks in 3D NAND Flash. [PDF]

Micromachines (Basel), 2023
Jia J, Jin L, You K, Zhu A.
europepmc   +1 more source

NAND Flash Memory Characterization

, 2019
The NAND technology has become a popular research area and implementation choice due to its non-volatile flash memory characteristics. There are many engineering challenges when it comes to NAND technology. Some of the limiting factors are reducing the transistor width and increasing read and write performance. The device physics for NAND floating gate
openaire   +1 more source