Physical modelling and optimization of analog Conductive Metal Oxide-HfO2 ReRAM artificial synapses for neuromorphic computing
- Donato Francesco Falcone
- Stephan Menzel
- et al.
- 2023
- CMD FisMat 2023
Donato Francesco Falcone
Bio
Dr. Donato Francesco Falcone earned his triple joint M.Sc. in Micro and Nanotechnologies for Integrated Systems in 2019 (EPFL, Grenoble INP, Politecnico di Torino). He conducted his master’s thesis at IBM Research Europe - Zurich on neuromorphic electronics, focusing on ferroelectric FinFET technology. In 2025, he obtained his Ph.D. from ETH Zurich, while conducting his research at IBM Research Europe - Zurich. His Ph.D. focused on the development, modeling, and integration of novel Resistive RAM technology into crossbar array architecture for efficient analog in-memory computing.
Publications
Neuromorphic Computing Using Ferroelectric Based Devices
- Laura Bégon-Lours
- Mattia Halter
- et al.
- 2023
- IEEE ISAF 2023
Physical modeling and design rules of analog Conductive Metal Oxide-HfO2 ReRAM
- Donato Francesco Falcone
- Stephan Menzel
- et al.
- 2023
- IMW 2023
Ferroelectric Synapses in Neuromorphic Circuits—Integration of Perovskite- and Hafnia-Based Crossbars
- Laura Bégon-Lours
- Mattia Halter
- et al.
- 2023
- MRS Spring Meeting 2023
Mitigating Analog Memory Non-Idealities for In-Memory Inference and Learning of DNN
- 2023
- MRS Spring Meeting 2023
Optimization of materials and interfaces for low power analog Conductive Metal Oxide/HfO2 ReRAM artificial synapses
- Donato Francesco Falcone
- Youri Popoff
- et al.
- 2023
- MRS Spring Meeting 2023
Conductive-TaOx/HfOx Based RRAM Devices with Enhanced Properties for Training Deep Neural Networks
- Tommaso Stecconi
- Donato Francesco Falcone
- et al.
- 2023
- MRS Spring Meeting 2023
Filamentary-based TaOx/HfO2 memristive synapses
- Tommaso Stecconi
- Youri Popoff
- et al.
- 2022
- e-MRS Spring Meeting 2022
Scalability and Functionality of 2- and 3-Terminals BEOL-Compatible Ferroelectric Synaptic Weights
- Laura Bégon-Lours
- Mattia Halter
- et al.
- 2022
- MRS Spring Meeting 2022
Scalable Conductive Metal-Oxide/ HfO2-Based Bilayer ReRAMs for Analog In-Memory Computing
- Tommaso Stecconi
- Youri Popoff
- et al.
- 2022
- MRS Spring Meeting 2022
Projects
Developing technologies for computing tomorrow’s AI.
Top collaborators
VB
Valeria Bragaglia
Staff Research Scientist, Research Ambassador
BO
Bert Offrein
Manager Neuromorphic Devices and Systems - Principal Research Scientist
WC
Wooseok Choi
Postdoctoral Researcher
MS
Marilyne Sousa
Senior Characterization Engineer