151 citations · 585 across the 20 of their papers we have counts for
20 papers
Peak splitting and bias fields in ferroelectric hafnia mediated by interface charge effects
Moritz Engl, Wassim Hamouda, Ines Häusler +5
The pristine state of hafnium based ferroelectric devices exhibits various unwanted properties, such as imprint and peak splitting, which diminish with bipolar cycling. The incorpo…
Weight update in ferroelectric memristors with identical and non-identical pulses
Suzanne Lancaster, Maximilien Remillieux, Moritz Engl +5
Ferroelectric tunnel junctions (FTJs) are a class of memristor which promise low-power, scalable, field-driven analog operation. In order to harness their full potential, operation…
Roadmap to Neuromorphic Computing with Emerging Technologies
Adnan Mehonic, Daniele Ielmini, Kaushik Roy +50
The roadmap is organized into several thematic sections, outlining current computing challenges, discussing the neuromorphic computing approach, analyzing mature and currently util…
A multi-pulse wakeup scheme for on-chip operation of devices based on ferroelectric doped HfO2 thin films
Suzanne Lancaster, Thomas Mikolajick, Stefan Slesazeck
A wakeup scheme for ferroelectric thin HfZrO films is presented, based on a gradual switching approach using multiple short pulses with a voltage amplitude roug…
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…