Analog Conductive Metal Oxide-HfO2 ReRAM artificial synapses for neuromorphic computing: physical modelling and stack optimization
- Donato Francesco Falcone
- Stephan Menzel
- et al.
- 2023
- MEMRISYS 2023
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26 results for Donato Francesco Falcone
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
- 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