Results 51 to 60 of about 2,082 (171)

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

Silicon Nitride Resistive Memories

Advanced Electronic Materials, EarlyView.
Amorphous SiNx is an attractive resistance switching material for ReRAM applications due to its physicochemical properties, such as humidity resistance, low oxygen diffusivity, and is used as a metal diffusion blocker. By modifying the ratio between N and Si atoms, the microstructure of the SiNx is affected, rendering it possible to change the ...
Alexandros‐Eleftherios Mavropoulis, Nikolaos Vasileiadis, Iosif‐Angelos Fyrigos, Emmanouil Stavroulakis, Caroline Bonafos, Pascal Normand, Georgios Ch. Sirakoulis, Panagiotis Dimitrakis   +7 more
wiley   +1 more source

Smart Electrical Screening Methodology for Channel Hole Defects of 3D Vertical NAND (VNAND) Flash Memory

Eng
In order to successfully achieve mass production in NAND flash memory, a novel test procedure has been proposed to electrically detect and screen the channel hole defects, such as Not-Open, Bowing, and Bending, which are unique in high-density 3D NAND ...
Beomjun Kim, Gyeongseob Seo, Myungsuk Kim   +2 more
doaj   +1 more source

Determining the Relationship Between Composition, Structure, and Device Properties of GexSe1‐x‐Based Selector‐Only Memory

Advanced Electronic Materials, EarlyView.
Composition‐dependent structural evolution in GeXSe1‐X selector‐only memory (SOM) is correlated with device switching behavior. Increasing Ge strengthens network rigidity, suppresses atomic motion, and stabilizes threshold switching, while narrowing the memory window. The revealed structure–property relationship provides a guideline for compositionally
Tien Anh Nguyen, Changdeok Han, Dipannita Ghosh, Suyong Chae, Moongyu Choi, Sanghyun Ban, Myoungsub Kim, Sangmin Yoo, Seung Hwan Lee, Sieun Chae   +9 more
wiley   +1 more source

Prediction of Random Telegraph Noise-Induced Threshold Voltage Shift and Its Scaling Dependency Using Machine Learning

IEEE Journal of the Electron Devices Society
Random telegraph noise (RTN) shifts the threshold voltage (Vt) of 3D NAND flash memory cells, making it a key factor of the device malfunction. The aim of this study is to predict the distribution of RTN induced ${\mathrm { V}}_{\mathrm { t}}$ shift in
Eunseok Oh, Hyungcheol Shin
doaj   +1 more source

Organic Electrochemical Transistors for Energy‐Autonomous Bioelectronics: Materials, Devices, and System Integration

Advanced Electronic Materials, EarlyView.
This review surveys organic electrochemical transistors as core building blocks for energy‐autonomous bio‐integrated electronics. We outline device physics, OMIEC materials, and electrolyte effects that enable sub‐volt, high‐gain operation, and discuss direct coupling with mechanical, thermal, and optical energy harvesters to realize battery‐free ...
Jonggeun Park, Yeong Joo Jo, Yong Hyun Kwon, Sang‐Woo Kim   +3 more
wiley   +1 more source

A machine learning framework for predictive electron density modelling to enhance 3D NAND flash memory performance

e-Prime: Advances in Electrical Engineering, Electronics and Energy
Data storage in electronic devices has been revolutionised by 3D NAND flash memory. However, polycrystalline silicon and grain boundaries offer issues that greatly affect memory performance in terms of string current and Program-Erase Threshold Voltage ...
Dikendra Verma, Upendra Mohan Bhatt, Anurag Vidyarthi   +2 more
doaj   +1 more source

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

Advanced Intelligent Systems, EarlyView.
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison, Kevin Nadaud, Josquin Harrison, Guillaume F. Nataf, Laura Bégon‐Lours   +4 more
wiley   +1 more source

Miniaturized Multifunctional Valves for Intelligent Pneumatic Systems in Soft Robotics

Advanced Intelligent Systems, EarlyView.
Miniaturized multifunctional pneumatic valves in normally closed (NC) and normally open (NO) configurations enable reconfigurable and programmable fluidic logic—including AND, OR, NAND, and NOR gates—with/without physical replumbing. These valves integrate sensing, logic, and actuation within a unified architecture, demonstrated through an electronics ...
J. Xu, X. Z. Niu, J. Andersson, D./G. Broo, K. Hjort   +4 more
wiley   +1 more source

Vertical NAND Flash Memory‐Based Bayesian Neural Networks With Intrinsic Gaussian Weight Sampling

Advanced Intelligent Systems, EarlyView.
Commercial vertical NAND flash memory supports Bayesian neural networks by using paired cells to produce bell‐shaped weight distributions. Read voltage controls their spread without additional memory cells or changes to the array structure. Simulations based on device measurements demonstrate improved uncertainty estimation and accuracy gains of up to ...
Sung‐Ho Park, Mingyun Oh, Dongbeen Shin, Jaehyeon Kim, Jonghyun Ko, Jiseong Im, Yeongheon Yang, Gyuweon Jung, Jong‐Ho Lee   +8 more
wiley   +1 more source