Donato Francesco Falcone

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

Cryogenic Analog 1T-ReRAM with Enhanced Dynamic Range and Suppressed Noise for Cold Neural Networks
- - Saketh Ram Mamidala
  - Davide Lombardo
  - et al.
- 2024
- IEDM 2024
Analog Conductive-Metal-Oxide/HfO_x ReRAM Devices - BEOL Integration, Characterization and Modelling
- - Donato Francesco Falcone
  - Valeria Bragaglia
  - et al.
- 2024
- MRS Fall Meeting 2024
Advancements in Memristor Device Development: From Material Stack Optimization to Physical Modelling
- - Valeria Bragaglia
  - Donato Francesco Falcone
  - et al.
- 2024
- B-MRS 2024
Compact Model of Conductive-Metal-Oxide/HfOx Analog Filamentary ReRAM Devices
- - Matteo Galetta
  - Donato Francesco Falcone
  - et al.
- 2024
- ESSERC 2024
Read Noise Analysis in Analog Conductive-Metal-Oxide/HfO𝑥 ReRAM Devices
- - Davide Lombardo
  - Saketh Ram Mamidala
  - et al.
- 2024
- DRC 2024
CMOS compatible Materials and Devices for beyond von Neumann
- - Valeria Bragaglia
  - Donato Francesco Falcone
  - et al.
- 2024
- CIMTEC 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
Multi-Level, Low-Voltage Programming of Ferroelectric HfO2/ZrO2 Nanolaminates Integrated in the Back-End-Of-Line
- - Ruben Hamming Green
  - Saketh Ram Mamidala
  - et al.
- 2024
- EDTM 2024
Backend - CMOS compatible devices for beyond CMOS
- - Valeria Bragaglia
  - Tommaso Stecconi
  - et al.
- 2024
- Neuronics 2024
Analog resistive switching devices for training deep neural networks with the novel Tiki-Taka algorithm
- - Tommaso Stecconi
  - Valeria Bragaglia
  - et al.
- 2024
- Nano Letters

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Projects

Neuromorphic Devices & Systems

Developing technologies for computing tomorrow’s AI.

AI Hardware

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Top collaborators

BO

Bert Jan Offrein

Bert Jan Offrein

Manager Neuromorphic Devices and Systems - Principal Research Scientist

VB

Valeria Bragaglia

Valeria Bragaglia

Staff Research Scientist, Research Ambassador

WC

Wooseok Choi

Wooseok Choi

Postdoctoral Researcher

SM

Saketh Ram Mamidala

Saketh Ram Mamidala

Postdoctoral Researcher