Descripción del proyecto
Transistores ferroeléctricos de barrera de Schottky como sinapsis artificiales para la computación neuromórfica
Se calcula que hay 100 000 millones de neuronas en un cerebro humano adulto. Cada una hace unas 7 000 sinapsis con otras neuronas, formando una red de procesamiento de datos de gran eficiencia energética. El objetivo de la computación neuromórfica es aprovechar esta eficiencia utilizando neuronas, sinapsis y circuitos inspirados en el cerebro para reducir las vertiginosas necesidades energéticas de la explosión en el procesamiento de datos. Los transistores de efecto de campo (FET) ferroeléctricos son una de las opciones más prometedoras para las sinapsis de estado sólido. Con el apoyo de las acciones Marie Skłodowska-Curie, el equipo del proyecto EASIFeT se centrará en un novedoso FET ferroeléctrico, concretamente un FET ferroeléctrico de barrera de Schottky. El equipo empleará una conocida herramienta de diseño y simuladores para explorar comportamientos e implementarlos en un modelo de circuito.
Objetivo
The exponential growth of demand for data processing requires increasingly large computational resources and, consequently, prohibitively high energy consumption. To sustain this evolution, a paradigm switch from conventional computing architectures to data-centric platforms is needed. Neuromorphic computing aims at reaching this goal by realizing brain-inspired circuits based on artificial neurons and synapses, which are extremely energy efficient. The objective of this project is to explore a novel type of artificial synapse to be employed in neuromorphic chips. Among the technological options for solid state synapses, memories based on ferroelectric field-effect transistors (FeFET) are considered very promising due to their energy efficiency and to their compatibility with a Back-End-Of-Line implementation and thus a 3D integration. A FeFET is a field-effect transistors that employs a ferroelectric (FE) material as gate oxide. FE materials have a spontaneous electric polarization that can be reversed by the application of an electric field, and in conventional FeFETs this is used to modulate the threshold voltage and thus resistance in the channel region. This project will address an alternative physical mechanism to obtain a synaptic behavior in FeFET, namely a polarization-induced tuning of the resistance at source/drain Schottky contacts. In the Ferroelectric Schottky barrier FETs (Fe-SBFETs), the FE material overlaps the Schottky contact region, hence in this region the FE material is placed between two metals resulting in an effective and low voltage ferroelectric switching. For this reason, Fe-SBFETs are expected to operate as low energy synaptic devices. In this project, Fe-SBFETs will be extensively studied and modeled, by means of TCAD simulations. A design-space for optimal synaptic operation will be derived. Finally, a compact model for SPICE simulations of neuromorphic circuits based on Fe-SBFETs will be developed.
Ámbito científico
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringanalogue electronics
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcomputer hardware
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectrical engineering
- natural sciencescomputer and information sciencesdata sciencedata processing
Palabras clave
Programa(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Régimen de financiación
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European FellowshipsCoordinador
33100 Udine
Italia