Results 41 to 50 of about 10,751 (237)

Research and Evaluation on SEM-based FPGA Anti-SEU Solution

Yuanzineng kexue jishu, 2022
With the development of aerospace avionics, there is an increasing demand for high performance chips to handle data processing and transmission requirements.
SUN Yifan;BAI Liang;SHUANG Xiaochuan;TIAN Wenbo;YOU Hongjun
doaj  

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

The application of a SRAM chip as a novel neutron detector

Journal of Experimental Nanoscience, 2006
High-density, fast digital devices, like field programmable gate arrays (FPGAs), microcontrollers, and static random access memories (SRAMs), can be produced by nanotechnology. New technologies allow the design of fast and powerful devices; however, the decreasing dimensions create new problems.
D. Makowski, M. Grecki, B. Mukherjee, S. Simrock, B. Swiercz, A. Napieralski   +5 more
openaire   +1 more source

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

Advanced Electronic Materials, EarlyView.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source

Atmospheric neutron inducing single event effects on AI chips manufacturing with 8 nm FinFET

Nuclear Engineering and Technology
--With the rapid advancement of artificial intelligence (AI) chips in diverse applications, single event effects (SEE) caused by high energy particles in ambient environment have emerged as a critical concern.
Yonghong Li, Jianan Tong, Weitao Yang, Zhiliang Hu, Lihua Mo, Tianjiao Liang, Chaohui He, Jinghui Lan   +7 more
doaj   +1 more source

Trusted Cameras on Mobile Devices Based on SRAM Physically Unclonable Functions

Sensors, 2018
Nowadays, there is an increasing number of cameras placed on mobile devices connected to the Internet. Since these cameras acquire and process sensitive and vulnerable data in applications such as surveillance or monitoring, security is essential to ...
Rosario Arjona, Miguel A. Prada-Delgado, Javier Arcenegui, Iluminada Baturone   +3 more
doaj   +1 more source

Ferroelectric HfO2/ZrO2 Superlattice Capacitors With High Center to Edge Wafer‐Scale Uniformity

Advanced Electronic Materials, EarlyView.
“Enhanced wafer‐scale device uniformity on 150 mm wafers is demonstrated using ferroelectric superlattice HfO2/ZrO2 (HZO) capacitors, as compared to conventional solid solution HZO capacitors. Superlattice HZO exhibits improved ferroelectric memory properties, including a broader polarization window, greater endurance, reduced leakage, and superior ...
Oscar Kaatranen, Patrik Eskelinen, Sampo Inkinen, Olli‐Pekka Kilpi, Karl‐Magnus Persson   +4 more
wiley   +1 more source

Single ended 12T cntfet sram cell with high stability for low power smart device applications

e-Prime: Advances in Electrical Engineering, Electronics and Energy
Static random-access memory (SRAM) is the most prevalent type of memory used in current system-on-chips (SOC). SRAMs built using Complementary metal oxide semiconductor (CMOS) transistors, suffer from low stability and significant power dissipation at ...
S. Jayanthi, P. Raja, M. Elangovan, T.S. Murugesh   +3 more
doaj   +1 more source

A committee machine gas identification system based on dynamically reconfigurable FPGA [PDF]

, 2008
This paper proposes a gas identification system based on the committee machine (CM) classifier, which combines various gas identification algorithms, to obtain a unified decision with improved accuracy.
Amira, A, Bermak, A, Brahim-Belhouari, S, Chandrasekaran, S, Shi, M   +4 more
core   +2 more sources

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source