Tommaso Stecconi

According to our database, Tommaso Stecconi authored at least 11 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Unsupervised local learning based on voltage-dependent synaptic plasticity for resistive and ferroelectric synapses.

Nikhil Garg, Ismael Balafrej, Joao Henrique Quintino Palhares, Laura Bégon-Lours, Davide Florini, Donato Francesco Falcone, Tommaso Stecconi, Valeria Bragaglia, Bert Jan Offrein, Jean-Michel Portal, Damien Querlioz, Yann Beilliard, Dominique Drouin, Fabien Alibart

CoRR, October, 2025

Analytical Modelling of the Transport in Analog Filamentary Conductive-Metal-Oxide/HfOx ReRAM Devices.

Donato Francesco Falcone, Stephan Menzel, Tommaso Stecconi, Matteo Galetta, Antonio La Porta, Bert Jan Offrein, Valeria Bragaglia

CoRR, September, 2025

All-in-One Analog AI Accelerator: On-Chip Training and Inference with Conductive-Metal-Oxide/HfOx ReRAM Devices.

Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon-Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia

CoRR, February, 2025

Edge Training and Inference with Analog ReRAM Technology for Hand Gesture Recognition.

Victoria Clerico, Anirvan Dutta, Donato Francesco Falcone, Wooseok Choi, Matteo Galetta, Tommaso Stecconi, András Horváth, Shokoofeh Varzandeh, Bert Jan Offrein, Mohsen Kaboli, Valeria Bragaglia

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

2024

Analog resistive switching devices optimized for deep learning applications.

Tommaso Stecconi

PhD thesis, 2024

Read Noise Analysis in Analog Conductive-Metal-Oxide/HfOx ReRAM Devices.

Davide G. F. Lombardo, Mamidala Saketh Ram, Tommaso Stecconi, Wooseok Choi, Antonio La Porta, Donato Francesco Falcone, Bert J. Offrein, Valeria Bragaglia

Proceedings of the Device Research Conference, 2024

2023

Physical modeling and design rules of analog Conductive Metal Oxide-HfO2 ReRAM.

Donato Francesco Falcone, Stephan Menzel, Tommaso Stecconi, Antonio La Porta, Ludovico Carraria-Martinotti, Bert Jan Offrein, Valeria Bragaglia

Proceedings of the IEEE International Memory Workshop, 2023

2022

A Trainable Sequence Learner that Learns and Recognizes Two-Input Sequence Patterns.

Jan Hohenheim, Zhaoyu Devon Liu, Tommaso Stecconi, Pietro Palopoli

CoRR, 2022

Role of Conductive-Metal-Oxide to HfOx, Interfacial Layer on the Switching Properties of Bilayer TaOx/HfOx ReRAM.

Tommaso Stecconi, Youri Popoff, Roberto Guido, Donato Francesco Falcone, Mattia Halter, Marilyne Sousa, Folkert Horst, Antonio La Porta, Bert J. Offrein, Valeria Bragaglia

Proceedings of the 52nd IEEE European Solid-State Device Research Conference, 2022

Equivalent electrical circuit modelling of a TaOx/HfOx based RRAM with optimized resistance window and multilevel states.

Tommaso Stecconi, Youri Popoff, Roberto Guido, Mattia Halter, Donato Francesco Falcone, Antonio La Porta, Folkert Horst, Laura Bégon-Lours, Marilyne Sousa, Bert J. Offrein, Valeria Bragaglia

Proceedings of the Device Research Conference, 2022

2019

A Volatile RRAM Synapse for Neuromorphic Computing.

Erika Covi, Daniele Ielmini, Y.-H. Lin, Wei Wang, Tommaso Stecconi, Valerio Milo, Alessandro Bricalli, Elia Ambrosi, Giacomo Pedretti, Tseung-Yuen Tseng

Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems, 2019