Analog and Digital Memristive Devices Based on Hafnium Oxide for Neuromorphic Applications
- Weitere Titel
-
Analoge und Digitale Memristive Bauelemente basierend auf Hafniumoxid für Neuromorphe Anwendungen
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
Kiel, Christian-Albrechts-Universität zu Kiel, Dissertation, 2023
- Klassifikation
-
Elektrotechnik, Elektronik
- Schlagwort
-
Memristor
Neuroinformatik
CMOS
Elektronik
Spintronik
Nichtflüchtiger Speicher
- Ereignis
-
Veröffentlichung
- (wo)
-
Kiel
- (wer)
-
Universitätsbibliothek Kiel
- (wann)
-
2023
- Urheber
- Beteiligte Personen und Organisationen
- URN
-
urn:nbn:de:gbv:8:3-2023-00688-0
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:52 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Zahari, Finn
- Kohlstedt, Hermann
- Kienle, Lorenz
- Wenger, Christian
- Universitätsbibliothek Kiel
Entstanden
- 2023
Ähnliche Objekte (12)
Hafnium oxide based memristive devices as functional elements of neuromorphic circuits
Hafnium oxide based memristive devices as functional elements of neuromorphic circuits
Impedance Spectroscopy on Hafnium Oxide‐Based Memristive Devices
Impedance Spectroscopy on Hafnium Oxide‐Based Memristive Devices
Hafnium dioxide for memristive applications
A Review of Graphene‐Based Memristive Neuromorphic Devices and Circuits
Thickness‐Related Analog Switching in SiO x/Cu/SiO x Memristive Devices for Neuromorphic Applications
Emulation of Neural Dynamics in Neuromorphic Circuits Based on Memristive Devices
Multi-level resistive switching in hafnium-oxide-based devices for neuromorphic computing
Memristive Devices Based on Two-Dimensional Transition Metal Chalcogenides for Neuromorphic Computing
Evidence of soft bound behaviour in analogue memristive devices for neuromorphic computing
On the development of memristive devices for electroforming-free and analog memristive crossbar arrays
Hafnium oxide based memristive devices as functional elements of neuromorphic circuits
Hafnium oxide based memristive devices as functional elements of neuromorphic circuits
Impedance Spectroscopy on Hafnium Oxide‐Based Memristive Devices
Impedance Spectroscopy on Hafnium Oxide‐Based Memristive Devices
Hafnium dioxide for memristive applications
A Review of Graphene‐Based Memristive Neuromorphic Devices and Circuits
Thickness‐Related Analog Switching in SiO x/Cu/SiO x Memristive Devices for Neuromorphic Applications
Emulation of Neural Dynamics in Neuromorphic Circuits Based on Memristive Devices
Multi-level resistive switching in hafnium-oxide-based devices for neuromorphic computing
Memristive Devices Based on Two-Dimensional Transition Metal Chalcogenides for Neuromorphic Computing
Evidence of soft bound behaviour in analogue memristive devices for neuromorphic computing
On the development of memristive devices for electroforming-free and analog memristive crossbar arrays
Hafnium oxide based memristive devices as functional elements of neuromorphic circuits
Hafnium oxide based memristive devices as functional elements of neuromorphic circuits
Impedance Spectroscopy on Hafnium Oxide‐Based Memristive Devices
Impedance Spectroscopy on Hafnium Oxide‐Based Memristive Devices
Hafnium dioxide for memristive applications
A Review of Graphene‐Based Memristive Neuromorphic Devices and Circuits
Thickness‐Related Analog Switching in SiO x/Cu/SiO x Memristive Devices for Neuromorphic Applications
Emulation of Neural Dynamics in Neuromorphic Circuits Based on Memristive Devices
Multi-level resistive switching in hafnium-oxide-based devices for neuromorphic computing
Memristive Devices Based on Two-Dimensional Transition Metal Chalcogenides for Neuromorphic Computing
Evidence of soft bound behaviour in analogue memristive devices for neuromorphic computing