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Ferroelectric REsistors as Emerging Materials for Innovative Neuromorphic Device...

Ferroelectric REsistors as Emerging Materials for Innovative Neuromorphic Devices Neuromorphic computing such as deep-learning algorithms arise as a promising solution to treat the exploding amount of data generated worldwide, but at the cost of expensive time and energy budget on conventional hardware. There i... ver más

31/05/2021

IBM

191K€

Presupuesto del proyecto: 191K€

Líder del proyecto

IBM RESEARCH GMBH No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2021-05-31

MSCA-IF-2018: Individual Fellowships

I+D

Cerrada hace 6 años

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Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

1 Participantes

IBM

191.15K€ | Lider

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Duración del proyecto: 25 meses Fecha Inicio: 2019-04-09
Fecha Fin: 2021-05-31

Líder del proyecto

IBM RESEARCH GMBH No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 191K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Neuromorphic computing such as deep-learning algorithms arise as a promising solution to treat the exploding amount of data generated worldwide, but at the cost of expensive time and energy budget on conventional hardware. There is an urgent need for a low-power, compact neuromorphic chip that can support bio-inspired computing: a network of cells collocating storage (non-volatility) and computing (synaptic plasticity). This work proposes to achieve such cell using a ferroelectric resistor, down-scaled to nanometer thickness to allow direct electron tunneling through the ferroelectric barrier (ferroelectric tunnel junction): the learning functionality (i.e. synaptic plasticity) will be implemented through the control of the distribution of the (non-volatile) ferroelectric domains. The fellow will bring her expertise in ferroelectric tunnel junctions and will combine it with IBM’s expertise in device and circuits integration and characterization, making use of the state-of-the-art equipment offered by their research center. In order to accelerate the creation of an end-to-end neuromorphic device, she will lead a collaboration with ETH Zurich and will benefit from their expertise in predictive physics-based modeling. The research project will aim at: (i) the demonstration of a non-volatile and plastic ferroelectric synapse made of Hf0.5Zr0.5O2 – a fully CMOS-compatible material, (ii) the development of models of individual cells and of a neural network and (iii) providing design guidelines for neuromorphic hardware based on this technology. The outcome will be to evaluate performances not only of individual synapses but of a neural network as a whole. Through the Action, the fellow will not only aim at creating a novel technology; but also at leading an interdisciplinary research project uniting complementary actors for an innovative solution to a society challenge.

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