Journal Article FZJ-2022-04090

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Effect of electron conduction on the read noise characteristics in ReRAM devices

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2022
AIP Publ. Melville, NY

APL materials 10(10), 101114 - () [10.1063/5.0109787]

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Contributing Institute(s):
  1. Elektronische Materialien (PGI-7)
  2. JARA-FIT (JARA-FIT)
  3. JARA Institut Green IT (PGI-10)
Research Program(s):
  1. 5233 - Memristive Materials and Devices (POF4-523) (POF4-523)
  2. BMBF-16ME0398K - Verbundprojekt: Neuro-inspirierte Technologien der künstlichen Intelligenz für die Elektronik der Zukunft - NEUROTEC II - (BMBF-16ME0398K) (BMBF-16ME0398K)
  3. BMBF-16ME0399 - Verbundprojekt: Neuro-inspirierte Technologien der künstlichen Intelligenz für die Elektronik der Zukunft - NEUROTEC II - (BMBF-16ME0399) (BMBF-16ME0399)
  4. BMBF-16ME0402 - Verbundprojekt: Neuro-inspirierte Technologien der künstlichen Intelligenz für die Elektronik der Zukunft - NEUROTEC II - (BMBF-16ME0402) (BMBF-16ME0402)
  5. Advanced Computing Architectures (aca_20190115) (aca_20190115)

Appears in the scientific report 2022
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Medline ; Creative Commons Attribution CC BY 4.0 ; DOAJ ; OpenAccess ; Article Processing Charges ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Current Contents - Physical, Chemical and Earth Sciences ; DOAJ Seal ; Essential Science Indicators ; Fees ; IF >= 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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Institute Collections > PGI > PGI-7
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 Record created 2022-11-02, last modified 2023-02-09


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