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A morbiditás Ezáltal Üzemzavar southampton oxide memristor egyidejű molekula forrás
Flexible Memristor Devices Using Hybrid Polymer/Electrodeposited GeSbTe Nanoscale Thin Films | ACS Applied Nano Materials
Electronics | Free Full-Text | Experimental Analysis of Oxide-Based RAM Analog Synaptic Behavior
PDF) Effects of top electrode material in hafnium-oxide-based memristive systems on highly-doped Si
Practical Approach to Induce Analog Switching Behavior in Memristive Devices: Digital-to-Analog Transformation | IntechOpen
L. Michalas's research works | University of Southampton, Southampton and other places
A Memristor SPICE Model Accounting for Synaptic Activity Dependence | PLOS ONE
A Polymer/TiO2- Nanorod Nanocomposite Optical Memristor Device
Southampton breaks memristor record with 7bits/cell
L. Michalas's research works | University of Southampton, Southampton and other places
Back‐End‐of‐Line SiC‐Based Memristor for Resistive Memory and Artificial Synapse - Kapur - 2022 - Advanced Electronic Materials - Wiley Online Library
Measured behaviour of a memristor‐based tuneable instrumentation amplifier - Yang - 2022 - Electronics Letters - Wiley Online Library
Monitoring PSA levels as chemical state-variables in metal-oxide memristors | Scientific Reports
Themis Prodromakis on LinkedIn: Flexible Oxide Thin Film Transistors, Memristors, and Their Integration
Arc Instruments
MemrisTec (@MemrisTec) / Twitter
Standards for the Characterization of Endurance in Resistive Switching Devices | ACS Nano
Designing a Bidirectional, Adaptive Neural Interface Incorporating Machine Learning Capabilities and Memristor-enhanced Hardware
Synapse-like memristor-based electronic device detects brain spikes in real time « Kurzweil
memristor-brain | University of Southampton
Selectively biased tri-terminal vertically-integrated memristor configuration | Scientific Reports
Vasileios Manouras's research works | University of Southampton, Southampton and other places
Implementing AI: Hardware Challenges: Memristive Technologies: from Functional Oxides to AI on a Chip - Prof Themis
Memristors for Neuromorphic processors to Quantum computing – International Defense Security & Technology
Implementing AI: Hardware Challenges: Memristive Technologies: from Functional Oxides to AI on a Chip - Prof Themis
An Electrical Characterisation Methodology for Benchmarking Memristive Device Technologies | Scientific Reports
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