Update Disturbance-Resilient Analog ReRAM Crossbar Arrays for In-Memory Deep Learning Accelerators
- Wooseok Choi
- Tommaso Stecconi
- et al.
- 2025
- Advanced Science
Publications
13 results for T. Stecconi
Study of Resistive Switching Dynamics and Memory States Equilibria in Analog Filamentary Conductive-Metal-Oxide/HfOx ReRAM via Compact Modeling
- Matteo Galetta
- Donato Francesco Falcone
- et al.
- 2025
- Advanced Electronic Materials
Edge Training and Inference with Analog ReRAM Technology for Hand Gesture Recognition
- Victoria Clerico
- Anirvan Dutta
- et al.
- 2025
- ISCAS 2025
All-in-One Analog AI Hardware: On-Chip Training and Inference with Conductive-Metal-Oxide/HfOx ReRAM Devices
- Donato Francesco Falcone
- Victoria Clerico
- et al.
- 2025
- Advanced Functional Materials
Compact Model of Conductive-Metal-Oxide/HfOxAnalog Filamentary ReRAM Devices
- Matteo Galetta
- Donato Francesco Falcone
- et al.
- 2024
- ESSERC 2024
Read Noise Analysis in Analog Conductive-Metal-Oxide/HfOxReRAM Devices
- Davide G. F. Lombardo
- Mamidala Saketh Ram
- et al.
- 2024
- DRC 2024
Analytical modelling of the transport in analog filamentary conductive-metal-oxide/HfOx ReRAM devices
- Donato Francesco Falcone
- Stephan Menzel
- et al.
- 2024
- Nanoscale Horizons
Analog Resistive Switching Devices for Training Deep Neural Networks with the Novel Tiki-Taka Algorithm
- Tommaso Stecconi
- Valeria Bragaglia
- et al.
- 2024
- Nano Letters
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