Routes to Low-Energy Magnetic Electronics

SPIN ◽  
2019 ◽  
Vol 09 (02) ◽  
pp. 1940004 ◽  
Author(s):  
Alexander Pyatakov ◽  
Alexey Kaminskiy ◽  
Eugeny Lomov ◽  
Wei Ren ◽  
Shixun Cao ◽  
...  
Keyword(s):  
Image Processing ◽  
Field Effect ◽  
Low Energy ◽  
Magnetic Memory ◽  
Biologically Inspired ◽  
Processing Scheme ◽  
Garnet Films ◽  
Induced Magnetic Anisotropy ◽  
Low Energy Consumption ◽  
Iron Garnet

Various routes to low energy consumption magnetic electronics and magnetic memory are reviewed including field effect spintronics, magnetoelectric magnonics and straintronics. The new idea of biologically inspired straintronic image processing scheme as well as the new experimental results on electric field induced magnetic anisotropy modulation in iron garnet films are presented.

scholarly journals COSMO: Computing with Stochastic Numbers in Memory

2022 ◽  
Vol 18 (2) ◽  
pp. 1-25
Author(s):  
Saransh Gupta ◽  
Mohsen Imani ◽  
Joonseop Sim ◽  
Andrew Huang ◽  
Fan Wu ◽  
...  
Keyword(s):  
Neural Networks ◽  
Image Processing ◽  
Energy Efficient ◽  
Deep Neural Networks ◽  
Parallel Architecture ◽  
Low Energy ◽  
Stochastic Computing ◽  
Wide Range ◽  
Low Energy Consumption ◽  
Sc Addition

Stochastic computing (SC) reduces the complexity of computation by representing numbers with long streams of independent bits. However, increasing performance in SC comes with either an increase in area or a loss in accuracy. Processing in memory (PIM) computes data in-place while having high memory density and supporting bit-parallel operations with low energy consumption. In this article, we propose COSMO, an architecture for co mputing with s tochastic numbers in me mo ry, which enables SC in memory. The proposed architecture is general and can be used for a wide range of applications. It is a highly dense and parallel architecture that supports most SC encodings and operations in memory. It maximizes the performance and energy efficiency of SC by introducing several innovations: (i) in-memory parallel stochastic number generation, (ii) efficient implication-based logic in memory, (iii) novel memory bit line segmenting, (iv) a new memory-compatible SC addition operation, and (v) enabling flexible block allocation. To show the generality and efficiency of our stochastic architecture, we implement image processing, deep neural networks (DNNs), and hyperdimensional (HD) computing on the proposed hardware. Our evaluations show that running DNN inference on COSMO is 141× faster and 80× more energy efficient as compared to GPU.

A novel micromixer based on the alternating current-flow field effect transistor

Lab on a Chip ◽  
2017 ◽  
Vol 17 (1) ◽  
pp. 186-197 ◽  
Author(s):  
Yupan Wu ◽  
Yukun Ren ◽  
Ye Tao ◽  
Likai Hou ◽  
Qingming Hu ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Flow Field ◽  
Field Effect ◽  
Field Effect Transistor ◽  
Current Flow ◽  
Alternating Current ◽  
Low Energy ◽  
Low Energy Consumption ◽  
Effect Transistor ◽  
Induced Charge

Induced-charge electroosmosis (ICEO) phenomena have been attracting considerable attention as a means for pumping and mixing in microfluidic systems with the advantage of simple structures and low-energy consumption.

A Study on the Use of Bipolar-Particles-Electrodes in Decolorization of Dyeing Effluents and Its Principle

1987 ◽  
Vol 19 (3-4) ◽  
pp. 391-400 ◽  
Author(s):  
Zhou Ding ◽  
Cai Wei Min ◽  
Wang Qun Hui
Keyword(s):  
Energy Consumption ◽  
High Efficiency ◽  
Low Energy ◽  
Acid Dyes ◽  
Underlying Principle ◽  
Low Energy Consumption ◽  
Transparent Liquid

This paper studies the use of bipolar-particles-electrodes in the decolorization of dyeing effluents. Treatment of highly colored solutions of various soluble dyes (such as direct, reactive, cationic or acid dyes) and also samples of dyeing effluents gave rise to an almost colorless transparent liquid, with removal of CODcr and BOD5 being as high as over 80%. The method is characterized by its high efficiency, low energy consumption and long performance life. A discussion of the underlying principle is given.

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