Francesco Maria Puglisi
Università degli Studi di Modena e Reggio Emilia
H-index: 27
Europe-Italy
Top articles of Francesco Maria Puglisi
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Guidelines for the Design of Random Telegraph Noise-Based True Random Number Generators | IEEE Transactions on Device and Materials Reliability | Tommaso Zanotti Alok Ranjan Sean J O’Shea Nagarajan Raghavan Ramesh Thamankar | 2024/4/29 |
From Accelerated to Operating Conditions: How Trapped Charge Impacts on TDDB in SiO2 and HfO2 Stacks | IEEE Transactions on Device and Materials Reliability | Sara Vecchi Andrea Padovani Paolo Pavan Francesco Maria Puglisi | 2024/4/1 |
Information Transfer in Neuronal Circuits: From Biological Neurons to Neuromorphic Electronics | Intelligent Computing | Daniela Gandolfi Lorenzo Benatti Tommaso Zanotti Giulia M Boiani Albertino Bigiani | 2024/2/1 |
Ultra-low power logic in memory with commercial grade memristors and FPGA-based smart-IMPLY architecture | Microelectronic Engineering | Lorenzo Benatti Tommaso Zanotti Paolo Pavan Francesco Maria Puglisi | 2023/8/15 |
Local electric field perturbations due to trapping mechanisms at defects: What random telegraph noise reveals | Journal of Applied Physics | Sara Vecchi Paolo Pavan Francesco Maria Puglisi | 2023/3/21 |
Study of RRAM-Based Binarized Neural Networks Inference Accelerators Using an RRAM Physics-Based Compact Model | Tommaso Zanotti Paolo Pavan Francesco Maria Puglisi | 2023/3/13 | |
Biologically plausible information propagation in a complementary metal-oxide semiconductor integrate-and-fire artificial neuron circuit with memristive synapses | Nano Futures | Lorenzo Benatti Tommaso Zanotti Daniela Gandolfi Jonathan Mapelli Francesco Maria Puglisi | 2023/5/26 |
Reliability of HfO2-Based Ferroelectric FETs: A Critical Review of Current and Future Challenges | Nicolò Zagni Francesco Maria Puglisi Paolo Pavan Muhammad Ashraful Alam | 2023/2/1 | |
The role of defects and interface degradation on ferroelectric HZO capacitors aging | Lorenzo Benatti Sara Vecchi Milan Pesic Francesco Maria Puglisi | 2023/3/26 | |
A unified framework to explain random telegraph noise complexity in MOSFETs and RRAMs | Sara Vecchi Paolo Pavan Francesco Maria Puglisi | 2023/3/26 | |
Hardware implementation of a true random number generator integrating a hexagonal boron nitride memristor with a commercial microcontroller | Nanoscale | Sebastian Pazos Wenwen Zheng Tommaso Zanotti Fernando Aguirre Thales Becker | 2023 |
Reliability Analysis of Random Telegraph Noisebased True Random Number Generators | Tommaso Zanotti Alok Ranjan Sean J O’Shea Nagarajan Raghavan Ramesh Thamankar | 2023/10/8 | |
Linking the intrinsic electrical response of ferroelectric devices to material properties by means of impedance spectroscopy | IEEE Transactions on Device and Materials Reliability | Lorenzo Benatti Sara Vecchi Francesco Maria Puglisi | 2023/3/24 |
The Major Effect of Trapped Charge on Dielectric Breakdown Dynamics and Lifetime Estimation | Sara Vecchi Andrea Padovani Paolo Pavan Francesco Maria Puglisi | 2023/10/8 | |
Effect of cycling on ultra-thin HfZrO4, ferroelectric synaptic weights | Neuromorphic Computing and Engineering | Laura Bégon-Lours Mattia Halter Marilyne Sousa Youri Popoff Diana Dávila Pineda | 2022/3/25 |
Defects motion as the key source of random telegraph noise instability in hafnium oxide | Sara Vecchi Paolo Pavan Francesco Maria Puglisi | 2022/9/19 | |
Memristive technologies for data storage, computation, encryption, and radio-frequency communication | Mario Lanza Abu Sebastian Wei D Lu Manuel Le Gallo Meng-Fan Chang | 2022/6/3 | |
The impact of electrostatic interactions between defects on the characteristics of random telegraph noise | IEEE Transactions on Electron Devices | Sara Vecchi Paolo Pavan Francesco Maria Puglisi | 2022/10/20 |
Scaled, Ferroelectric Memristive Synapse for Back‐End‐of‐Line Integration with Neuromorphic Hardware | Advanced Electronic Materials | Laura Bégon‐Lours Mattia Halter Francesco Maria Puglisi Lorenzo Benatti Donato Francesco Falcone | 2022/6 |
A hybrid cmos-memristor spiking neural network supporting multiple learning rules | IEEE Transactions on Neural Networks and Learning Systems | Davide Florini Daniela Gandolfi Jonathan Mapelli Lorenzo Benatti Paolo Pavan | 2022/9/13 |
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