Fast Characterization of Input-Output Behavior of Non-Charge-Based Logic Devices by Machine Learning

Fast Characterization of Input-Output Behavior of Non-Charge-Based Logic Devices by Machine Learning

Non-charge-based logic devices are promising candidates for the replacement of conventional complementary metal-oxide semiconductors (CMOS) devices. These devices utilize magnetic properties to store or process information making them power efficient. Traditionally, to fully characterize the input-o...

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Bibliographic Details
Main Authors: Arun Kaintura, Kyle Foss, Odysseas Zografos, Ivo Couckuyt, Adrien Vaysset, Tom Dhaene, Bart Sorée
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Electronics
Subjects:
machine learning
sequential sampling
data-efficient machine learning
magnetic logic devices
classification
Online Access:https://www.mdpi.com/2079-9292/9/9/1381

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https://www.mdpi.com/2079-9292/9/9/1381

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