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Resistive Switching in Memristors Based on Artificially Stacked Chemical-Vapor-Deposited Hexagonal-Boron Nitride

; ; ; ; ;

In
2021 Silicon Nanoelectronics Workshop : June 13, 2021, all virtual, Japan : workshop abstracts / 2021 VLSI Technology Symposium Kyoto, [the Japan Society of Applied Physics], Electron Devices Society, Seiten/Artikel-Nr: S7-6, 79-80

Konferenz/Event:26. Silicon Nanoelectronics Workshop , online , SNW 2021 , 2021-06-13 - 2021-06-13

Impressum[Piscataway, NJ] : IEEE

UmfangS7-6, 79-80

ISBN978-1-6654-0293-4, 978-4-86348-781-9

Konferenzort: Kyoto, Japan. - Zweitveröffentlicht auf dem Publikationsserver der RWTH Aachen University 2022

Online
DOI: 10.18154/RWTH-2021-11092
URL: https://publications.rwth-aachen.de/record/836131/files/836131.pdf
URL: https://ieeexplore.ieee.org/document/9499986

Einrichtungen

  1. Lehrstuhl für Elektronische Bauelemente (618710)

Projekte

  1. BMBF-16ES1134 - Verbundprojekt: Neuro-inspirierte Technologien der künstlichen Intelligenz für die Elektronik der Zukunft - NEUROTEC - (BMBF-16ES1134) (BMBF-16ES1134)
  2. QUEFORMAL - Quantum Engineering for Machine Learning (829035) (829035)

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Dokumenttyp
Abstract/Contribution to a book/Contribution to a conference proceedings

Format
online, print

Sprache
English

Anmerkung
No peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85124886908
WOS Core Collection: WOS:000712433900040

Interne Identnummern
RWTH-2021-11092
Datensatz-ID: 836131

Beteiligte Länder
Germany

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The record appears in these collections:
Document types > Events > Contributions to a conference proceedings
Document types > Books > Contributions to a book
Document types > Presentations > Abstracts
Faculty of Electrical Engineering and Information Technology (Fac.6)
Publication server / Open Access
Public records
Publications database
618710
 Record created 2021-11-29, last modified 2025-10-10
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