MELON | Memristive and multiferroic materials for emergent logic units in nanoelectronics

Summary
To make a machine think like a human we should overcome the tyranny of the deterministic binary logic, inherent to the contemporary electronic circuits. While the realization of this emergent approach has long been suggested as a multi-valued and neuromorphic architecture of the logic units, the problem is that we haven’t discovered a material system that could implement it. Right now, silicon-based transistors can operate as “on” and “off”, so the new materials would have to find to consistently maintain more states and emulate the plasticity and self-organization of neuronal connections. It’s against this background we develop the Consortium within the RISE action “MELON”, involving academic members from EU Member States, France, Netherlands, and Spain, from the partner country, Argentina, and the SME from the associated country, Ukraine, with the objective to develop the innovative materials platform for the realization of the emergent computing circuits. We target three focus areas:
(i) to explore novel memristive oxide-based systems on silicon, with history-dependent conductivity, for emulating the neuronal connections in the brain,
(ii) to use the nano-scale multiferroic materials, hosting the multistable topological states to realize the multi-valued logic, and
(iii) to explore conducting 2D oxide interfaces as both novels 4-points memristive systems and interconnect elements for the computing circuits.
The Consortium combines the complementary expertise spanned from fundamental to applied chemistry and physics and from material science to (industrial or modern) nanotechnologies development with the solid interdisciplinary and intersectoral potential for skills transfer, staff exchange, and young researchers' training.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/872631
Start date: 01-04-2020
End date: 31-03-2025
Total budget - Public funding: 1 380 000,00 Euro - 1 380 000,00 Euro
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Original description

To make a machine think like a human we should overcome the tyranny of the deterministic binary logic, inherent to the contemporary electronic circuits. While the realization of this emergent approach has long been suggested as a multi-valued and neuromorphic architecture of the logic units, the problem is that we haven’t discovered a material system that could implement it. Right now, silicon-based transistors can operate as “on” and “off”, so the new materials would have to find to consistently maintain more states and emulate the plasticity and self-organization of neuronal connections. It’s against this background we develop the Consortium within the RISE action “MELON”, involving academic members from EU Member States, France, Netherlands, and Spain, from the partner country, Argentina, and the SME from the associated country, Ukraine, with the objective to develop the innovative materials platform for the realization of the emergent computing circuits. We target three focus areas:
(i) to explore novel memristive oxide-based systems on silicon, with history-dependent conductivity, for emulating the neuronal connections in the brain,
(ii) to use the nano-scale multiferroic materials, hosting the multistable topological states to realize the multi-valued logic, and
(iii) to explore conducting 2D oxide interfaces as both novels 4-points memristive systems and interconnect elements for the computing circuits.
The Consortium combines the complementary expertise spanned from fundamental to applied chemistry and physics and from material science to (industrial or modern) nanotechnologies development with the solid interdisciplinary and intersectoral potential for skills transfer, staff exchange, and young researchers' training.

Status

SIGNED

Call topic

MSCA-RISE-2019

Update Date

28-04-2024
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Horizon 2020
H2020-EU.1. EXCELLENT SCIENCE
H2020-EU.1.3. EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions (MSCA)
H2020-EU.1.3.3. Stimulating innovation by means of cross-fertilisation of knowledge
H2020-MSCA-RISE-2019
MSCA-RISE-2019