pxfuel.com-FrancescoMariaPUGLISI
projectlogo
logoEU

facebook
twitter
linkedin
instagram

Funded by the European Union‘s Horizon 2020 research and innovation programme under grant agreement No 871737.

Privacy Policy

logotransparent

PUBLICATIONS

Authors
Title of the publication
Title of the journal or equivalent
Type of publication
Link to OA
IUNET - UNIUD
Modelling and design of FTJs as high reading-impedance synaptic devices
IEEE Electron Devices Technology and Manufacturing (EDTM) Conference 2021
Conference Paper
http://arxiv.org/abs/2105.00752
IUNET - UNIUD
Ferroelectric Based FETs and Synaptic Devices for Highly Energy Efficient Computational Technologies
IEEE Electron Devices Technology and Manufacturing (EDTM) Conference 2021
Conference Paper
http://arxiv.org/abs/2105.00864
IBM, ETH
A BEOL compatible, 2-Terminals, Ferroelectric Analog Non-Volatile Memory
IEEE International Electron Devices Meeting 2020
Conference Paper
https://zenodo.org/record/4768028#.YKKpaKGxWUk
NCSRD, IBM, ETH
Reliability aspects of ferroelectric TiN/Hf0.5Zr0.5O2/Ge capacitors grown by plasma assisted atomic oxygen deposition
Applied Physics Letters; Special Topic on “HfO2 Ferroelectrics”
Journal Article
https://arxiv.org/abs/2006.14270 
UZH
Ultra-Low-Power FDSOI Neural Circuits for Extreme-Edge Neuromorphic Intelligence
IEEE Transactions on Circuits and Systems
Journal Article
https://ieeexplore.ieee.org/document/9259075
IBM, ETH
Ferroelectric, Analog Resistive Switching in Back-End-of-Line Compatible TiN/Hf ZrO4/TiOx Junctions
Phys. Status Solidi RRL 2020, 2000524
Journal Article
https://zenodo.org/record/4655389#.YG10kT-xWuU
NaMLaB, UZH
Adaptive Extreme Edge Computing for Wearable Devices
Frontiers in Neuroscience
Journal Article
https://arxiv.org/abs/2012.14937
NaMLaB
Hafnia-based Double Layer Ferroelectric Tunnel Junctions as Artificial Synapses for Neuromorphic Computing
ACS Applied Electronic Materials
Journal Article
NaMLab, UG, CEA, NCRSD
Ferroelectric Tunneling Junctions for Edge Computing
IEEE International Symposium on Circuits and Systems (ISCAS) 2021, special session “Memristive Technologies for Edge-Computing Applications”
Conference Paper
Create Website with flazio.com | Free and Easy Website Builder