Compact Model of Conductive-Metal-Oxide/HfOxAnalog Filamentary ReRAM Devices
- Matteo Galetta
- Donato Francesco Falcone
- et al.
- 2024
- ESSERC 2024
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9 results for T. Stecconi
Read Noise Analysis in Analog Conductive-Metal-Oxide/HfOxReRAM Devices
- Davide G. F. Lombardo
- Mamidala Saketh Ram
- et al.
- 2024
- DRC 2024
Physical modeling and design rules of analog Conductive Metal Oxide-HfO2ReRAM
- Donato Francesco Falcone
- Stephan Menzel
- et al.
- 2023
- IMW 2023
A Trainable Sequence Learner that Learns and Recognizes Two-Input Sequence Patterns
- Jan Hohenheim
- Tommaso Stecconi
- et al.
- 2022
- TENCON 2022
Role of Conductive-Metal-Oxide to HfOx, Interfacial Layer on the Switching Properties of Bilayer TaOx/HfOxReRAM
- T. Stecconi
- Y. Popoff
- et al.
- 2022
- ESSDERC 2022
Equivalent electrical circuit modelling of a TaOx/HfOxbased RRAM with optimized resistance window and multilevel states
- T. Stecconi
- Y. Popoff
- et al.
- 2022
- DRC 2022
Analytical modelling of the transport in analog filamentary conductive-metal-oxide/HfOx ReRAM devices
- Donato Francesco Falcone
- Stephan Menzel
- et al.
- 2024
- Nanoscale Horizons
Filamentary TaOx/HfO2 ReRAM Devices for Neural Networks Training with Analog In-Memory Computing
- Tommaso Stecconi
- Roberto Guido
- et al.
- 2022
- Advanced Electronic Materials
Analog Resistive Switching Devices for Training Deep Neural Networks with the Novel Tiki-Taka Algorithm
- Tommaso Stecconi
- Valeria Bragaglia
- et al.
- 2024
- Nano Letters