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Synergistic Approach of Interfacial Layer Engineering and READ-Voltage Optimization in HfO<sub>2</sub>-Based FeFETs for In-Memory-Computing Applications

Yannick Raffel, Sourav De, Maximilian Lederer, Ricardo Olivo, Raik Hoffmann, Sunanda Thunder, Luca Pirro, Sven Beyer, Talha Chohan, Thomas Kämpfe, Konrad Seidel, Johannes Heitmann

2022ACS Applied Electronic Materials34 citationsDOIOpen Access PDF

Abstract

) data set in the presence of flicker noise and retention degradation, which is only a 2.5% deviation from the software baseline.

Topics & Concepts

Neuromorphic engineeringMaterials scienceElectronic engineeringArtificial neural networkComputer scienceNoise (video)MNIST databaseOptoelectronicsEngineeringArtificial intelligenceImage (mathematics)Ferroelectric and Negative Capacitance DevicesAdvanced Memory and Neural ComputingSemiconductor materials and devices
Synergistic Approach of Interfacial Layer Engineering and READ-Voltage Optimization in HfO<sub>2</sub>-Based FeFETs for In-Memory-Computing Applications | Litcius