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
Donato Francesco Falcone
Bio
Donato Francesco Falcone is a PhD student at IBM Research-Zurich Lab working on brain-inspired neuromorphic hardware accelerators for AI. His research focuses on manufacturing, modelling, optimisation and BEOL integration of Ferroelectric and Resistive RAM technologies into crossbar array architecture for efficient learning and problem solving.
Publications
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
Filamentary-based TaOx/HfO2 memristive synapses
- Tommaso Stecconi
- Youri Popoff
- et al.
- 2022
- e-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
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
Back-End, CMOS-Compatible Ferroelectric FinFET for Synaptic Weights
- Donato Francesco Falcone
- Mattia Halter
- et al.
- 2022
- Front. Electron. Mater.
Projects
Developing technologies for computing tomorrow’s AI.
Top collaborators
BO
Bert Offrein
Manager Neuromorphic Devices and Systems - Principal Research Scientist
VB
Valeria Bragaglia
Staff Research Scientist, Research Ambassador
WC
Wooseok Choi
Postdoctoral Researcher
SM
Saketh Ram Mamidala
Postdoctoral Researcher