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Articles

Energy-Efficient Neuromorphic Architectures for Nuclear Radiation Detection Applications

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By Jamison Wagner, Mark Wetzel, Jorge I. Canales-Verdial, Landon A. Schmucker
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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"Fabrication of Oxide-Based Memristors for Neural Networks" by Jamison E. Wagner

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By Jamison Wagner
| The University of New Mexico - UNM
Keywords memristors, neural networks, hafnium oxide, semiconductor fabrication Degree Name Electrical Engineering Department Name Electrical and Computer Engineering First Committee Member (Chair) Dr. Edl Schamiloglu Second Committee Member Dr. Payman Zarkesh-Ha Dr. Ganesh Balakrishnan Wagner, Jamison E.. "Fabrication of Oxide-Based Memristors for Neural Networks." (2021). https://digitalrepository.unm.edu/ece_etds/567
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