Design and Implementation of an AlScN-Based FeMEMS Multiplier for In-Memory Computing Applications
Author:
Affiliation:
1. Cornell University,SonicMEMS Laboratory, School of Electrical and Computer Engineering,Ithaca,NY,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10265288/10265319/10265327.pdf?arnumber=10265327
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3. A decade of FBAR success and what is needed for another successful decade
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5. First Demonstration of Ge Ferroelectric Nanowire FET as Synaptic Device for Online Learning in Neural Network with High Number of Conductance State and G max /G min;chung;Tech Dig - Int Electron Devices Meet IEDM,2019
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