Donato Francesco Falcone

Publications

• Exploiting Phase-Change-Material Physics for Unconventional Computing: VO2-based Oscillators and Phase-Change-Memories for Neuronal & Synaptic functions

  • • Valeria Bragaglia
    • Olivier Maher
    • et al.
  • 2023
  • E\PCOS 2023

• Emulating synaptic weights with thin films transistors based on ferroelectric hafnia

  • • Donato Francesco Falcone
    • Laura Bégon-Lours
    • et al.
  • 2023
  • ESSDERC/ESSCIRC 2023

• Photonic and electronic integrated technologies for neuromorphic computing

  • • Bert J. Offrein
    • Tommaso Stecconi
    • et al.
  • 2023
  • SSDM 2023

• The role of material science in neuromorphic computing

  • • Valeria Bragaglia
    • Tommaso Stecconi
    • et al.
  • 2023
  • CMD 2023

• 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

• 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

• Mitigating Analog Memory Non-Idealities for In-Memory Inference and Learning of DNN

  • • Valeria Bragaglia
    • Ghazi Sarwat Syed
    • et al.
  • 2023
  • MRS Spring Meeting 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

• 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