Results 51 to 60 of about 931,340 (223)

New-Generation Ferroelectric AlScN Materials

Nano-Micro Letters
Highlights Ferroelectricity and domain dynamics of emerging ferroelectric AlScN films were discussed. The performance optimization of ferroelectric AlScN films grown by different deposition techniques was comprehensively analyzed.
Yalong Zhang, Qiuxiang Zhu, Bobo Tian, Chungang Duan   +3 more
doaj   +1 more source

Stateful In‐Memory Logic System and Its Practical Implementation in a TaOx‐Based Bipolar‐Type Memristive Crossbar Array

Advanced Intelligent Systems, 2020
Memristive stateful logic enables energy‐ and cost‐efficient in‐memory computing, which is desirable for edge computing in the coming Internet of Things  (IoT) era.
Young Seok Kim, Myeong Won Son, Hanchan Song, Juseong Park, Jangho An, Jae Bum Jeon, Geun Young Kim, Seoil Son, Kyung Min Kim   +8 more
doaj   +1 more source

Havens: Explicit Reliable Memory Regions for HPC Applications

, 2016
Supporting error resilience in future exascale-class supercomputing systems is a critical challenge. Due to transistor scaling trends and increasing memory density, scientific simulations are expected to experience more interruptions caused by transient ...
Engelmann, Christian, Hukerikar, Saurabh
core   +1 more source

Flexible and Stretchable Memristive Arrays for in-Memory Computing

Frontiers in Nanotechnology, 2022
With the tremendous progress of Internet of Things (IoT) and artificial intelligence (AI) technologies, the demand for flexible and stretchable electronic systems is rapidly increasing.
Xusheng Liu, Xusheng Liu, Jie Cao, Jie Cao, Jie Qiu, Xumeng Zhang, Xumeng Zhang, Xumeng Zhang, Ming Wang, Ming Wang, Qi Liu, Qi Liu, Qi Liu   +12 more
doaj   +1 more source

Atomic Layer-Deposited HfAlOx-Based RRAM with Low Operating Voltage for Computing In-Memory Applications

Nanoscale Research Letters, 2019
With Moore’s law closing to its physical limit, traditional von Neumann architecture is facing a challenge. It is expected that the computing in-memory architecture-based resistive random access memory (RRAM) could be a potential candidate to overcome ...
Zhen-Yu He, Tian-Yu Wang, Lin Chen, Hao Zhu, Qing-Qing Sun, Shi-Jin Ding, David Wei Zhang   +6 more
doaj   +1 more source

Hardware Implementation of Next Generation Reservoir Computing with RRAM‐Based Hybrid Digital‐Analog System

Advanced Intelligent Systems
Reservoir computing (RC) possesses a simple architecture and high energy efficiency for time‐series data analysis through machine learning algorithms. To date, RC has evolved into several innovative variants. The next generation reservoir computing (NGRC)
Danian Dong, Woyu Zhang, Yuanlu Xie, Jinshan Yue, Kuan Ren, Hongjian Huang, Xu Zheng, Wen Xuan Sun, Jin Ru Lai, Shaoyang Fan, Hongzhou Wang, Zhaoan Yu, Zhihong Yao, Xiaoxin Xu, Dashan Shang, Ming Liu   +15 more
doaj   +1 more source

Artificial nanophotonic neuron with internal memory for biologically inspired and reservoir network computing [PDF]

, 2023
David O. Winge, Magnus T. Borgström, Erik Lind, Anders Mikkelsen   +3 more
openalex   +1 more source

Quantum-enhanced reconfigurable in-memory stochastic computing

Light: Science & Applications
In-memory computing, which enables computation directly within memory, represents an efficient approach to processing massively parallel computation tasks that are intractable for conventional computers.
Hong-Zhe Yang, Jian-Peng Dou, Feng Lu, Xiao-Wen Shang, Chao-Ni Zhang, Heng Zhou, Hao Tang, Xian-Min Jin   +7 more
doaj   +1 more source

An entropic associative memory

Scientific Reports, 2021
Natural memories are associative, declarative and distributed, and memory retrieval is a constructive operation. In addition, cues of objects that are not contained in the memory are rejected directly.
Luis A. Pineda, Gibrán Fuentes, Rafael Morales   +2 more
doaj   +1 more source

Advanced Integration-Inspired Process-in-Memory: A Comprehensive Review of Design, Challenges, and Future Prospects

IEEE Access
This work provides a comprehensive overview of advanced integration-inspired memory process design, focusing on the integration methods of 2D, 2.5D, and 3D.
Jinhui Cheng, Zhaoliang Guan, Jiangduo Fu, Hangyu Xu, Jinkun Ke   +4 more
doaj   +1 more source