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NEUROMOPHIC SYSTEMS BASED ON MEMRISTOR AND FERROELECTRIC DEVICES FOR COMPUTING APPLICATIONS

Objective

Artificial neural networks (ANNs) are simplified models and hardware that simulate how the brain of living beings, especially humans, process information. ANNs are inspired by the nervous system and biological behavior, creating a layered interconnection system of artificial neurons that collaborate to process input data and generate output. ANNs differ from other AI models in having the ability to learn automatically (machine learning). This technology has enormous current impact and potential for future applications, just to mention a few ones: autonomous vehicles, renewable energy, economy and financial predictions, computer visions, and disruptive medicine and health care services. In the last decade, ANNs have become a very popular topic, but the technology itself has been around for many decades with several problems yet to be solved. For example, current computer systems are highly inadequate in terms of data processing, storage and transmission. Aspects related to energy consumption are also an unsolved problem, where the rational use of energy and natural resources is a fundamental objective of global sustainability. NEMERFEC aims to realize novel ANNs through the development of hardware based on memristive and ferroelectric material systems. Such thin films of binary and complex oxides are to be deposited by physical ablation methods, such as PLD and sputtering, with a high degree of control during deposition. Advanced characterization techniques, microfabrication and nanofabrication of devices will be performed at the clean room facilities of the Aragon Nanoscience and Materials Institute (INMA-CSIC) to obtain ANNs at nanometric scales and with an ultra-fast response time. The final ANNs will be implemented in the analysis of thermal images in hyperthermia processes with magnetic nanoparticles at the Nano Scale Biomagnetics company during the non-academic placement period. These possible results will be completely novel in this type of application.

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Keywords

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Programme(s)

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Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-MSCA-2022-PF-01

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Coordinator

UNIVERSIDAD DE ZARAGOZA
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 206 641,20
Address
CALLE PEDRO CERBUNA 12
50009 ZARAGOZA
Spain

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Region
Noreste Aragón Zaragoza
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

No data

Partners (4)

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