175 citations · 213 across the 10 of their papers we have counts for
10 papers
An Asynchronous Mixed-Signal Resonate-and-Fire Neuron
Giuseppe Leo, Paolo Gibertini, Irem Ilter +3
Analog computing at the edge is an emerging strategy to limit data storage and transmission requirements, as well as energy consumption, and its practical implementation is in its…
Defect-Aware Physics-Based Compact Model for Ferroelectric nvCap: From TCAD Calibration to Circuit Co-Design
Luca Fehlings, Nihal Raut, Md. Hanif Ali +4
Ferroelectric non-volatile capacitance-based memories enable non-destructive readout and low-power in-memory computing with 3D stacking potential. However, their limited memory win…
Millisecond-scale Volatile Memory in HZO Ferroelectric Capacitors for Bio-inspired Temporal Computing
Luca Fehlings, Thomas Mikolajick, Beatriz Noheda +1
With the broad recent research on ferroelectric hafnium oxide for non-volatile memory technology, depolarization effects in HfO2-based ferroelectric devices gained a lot of interes…
Reliability of Capacitive Read in Arrays of Ferroelectric Capacitors
Luca Fehlings, Muhtasim Alam Chowdhury, Banafsheh Saber Latibari +2
The non-destructive capacitance read-out of ferroelectric capacitors (FeCaps) based on doped HfO metal-ferroelectric-metal (MFM) structures offers the potential for low-power a…
Bruno: Backpropagation Running Undersampled for Novel device Optimization
Luca Fehlings, Bojian Zhang, Paolo Gibertini +3
Recent efforts to improve the efficiency of neuromorphic and machine learning systems have centred on developing of specialised hardware for neural networks. These systems typicall…
A Ferroelectric Tunnel Junction-based Integrate-and-Fire Neuron
Paolo Gibertini, Luca Fehlings, Suzanne Lancaster +6
Event-based neuromorphic systems provide a low-power solution by using artificial neurons and synapses to process data asynchronously in the form of spikes. Ferroelectric Tunnel Ju…
Improvement of FTJ on-current by work function engineering for massive parallel neuromorphic computing
Suzanne Lancaster, Quang T. Duong, Erika Covi +2
HfO2-based ferroelectric tunnel junctions (FTJs) exhibit attractive properties for adoption in neuromorphic applications. The combination of ultra-low-power multi-level switching c…
A 120dB Programmable-Range On-Chip Pulse Generator for Characterizing Ferroelectric Devices
Shyam Narayanan, Erika Covi, Viktor Havel +7
Novel non-volatile memory devices based on ferroelectric thin films represent a promising emerging technology that is ideally suited for neuromorphic applications. The physical swi…
Ferroelectric Tunneling Junctions for Edge Computing
Erika Covi, Quang T. Duong, Suzanne Lancaster +10
Ferroelectric tunneling junctions (FTJ) are considered to be the intrinsically most energy efficient memristors. In this work, specific electrical features of ferroelectric hafnium…
Adaptive Extreme Edge Computing for Wearable Devices
Erika Covi, Elisa Donati, Hadi Heidari +4
Wearable devices are a fast-growing technology with impact on personal healthcare for both society and economy. Due to the widespread of sensors in pervasive and distributed networ…