EROS | Efficient and Robust Oxide Switching

Summary
We are at the beginning of a Data Age. Data is exploding. In 2016, 90% of the world’s data ever created was in the two previous years. AI and data analytics are further increasing the growth. The power demand is huge and growing. Within a few years some developed countries will not have sufficient power to sustain the growth. The negative effects on the planet are serious. Non-volatile memory (NVM) technology (including memory and neuromorphic computing elements in a single device) could strongly help to solve the problem, giving two orders of magnitude power reduction and, by removing the data transfer bottleneck, increased speed. Oxide memristors have significant advantages over competing NVM technologies, particularly in terms of speed, cost and temperature stability. However, after more than a decade of intense effort, serious challenges remain in terms of scaling, uniformity and robustness. The challenges all relate to a lack of precise control of the materials. Completely new thinking in thin film materials engineering is needed.

EROS provides this new thinking by designing and engineering new forms of nanostructured oxide films to give highly Efficient, Robust Oxide Switching in an ultra-dense, ultra-low power, reliable oxide memristor system, with potential to change the technology landscape in AI, IoT, and security. ‘Ideal’ films will first be designed, fabricated, and understood. These will direct the way to simple industry-platform devices. Stochastic effects will be eliminated by creating films with separate vertical nanoscale ionic and electron channels with highly controlled vacancy and electronic concentrations, allowing scaling to a few nm, in a forming-free system. Also, multifunctional hybrid structures will be developed to give robustness. Furthermore, ferroelectricity will be induced, allowing simpler and smaller devices. Confidence in the proposed approach comes from proof-of-concept model systems shown by the PI.
Unfold all
/
Fold all
More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/882929
Start date: 01-05-2021
End date: 30-04-2027
Total budget - Public funding: 1 913 521,00 Euro - 1 913 521,00 Euro
Cordis data

Original description

We are at the beginning of a Data Age. Data is exploding. In 2016, 90% of the world’s data ever created was in the two previous years. AI and data analytics are further increasing the growth. The power demand is huge and growing. Within a few years some developed countries will not have sufficient power to sustain the growth. The negative effects on the planet are serious. Non-volatile memory (NVM) technology (including memory and neuromorphic computing elements in a single device) could strongly help to solve the problem, giving two orders of magnitude power reduction and, by removing the data transfer bottleneck, increased speed. Oxide memristors have significant advantages over competing NVM technologies, particularly in terms of speed, cost and temperature stability. However, after more than a decade of intense effort, serious challenges remain in terms of scaling, uniformity and robustness. The challenges all relate to a lack of precise control of the materials. Completely new thinking in thin film materials engineering is needed.

EROS provides this new thinking by designing and engineering new forms of nanostructured oxide films to give highly Efficient, Robust Oxide Switching in an ultra-dense, ultra-low power, reliable oxide memristor system, with potential to change the technology landscape in AI, IoT, and security. ‘Ideal’ films will first be designed, fabricated, and understood. These will direct the way to simple industry-platform devices. Stochastic effects will be eliminated by creating films with separate vertical nanoscale ionic and electron channels with highly controlled vacancy and electronic concentrations, allowing scaling to a few nm, in a forming-free system. Also, multifunctional hybrid structures will be developed to give robustness. Furthermore, ferroelectricity will be induced, allowing simpler and smaller devices. Confidence in the proposed approach comes from proof-of-concept model systems shown by the PI.

Status

SIGNED

Call topic

ERC-2019-ADG

Update Date

27-04-2024
Images
No images available.
Geographical location(s)
Structured mapping
Unfold all
/
Fold all
Horizon 2020
H2020-EU.1. EXCELLENT SCIENCE
H2020-EU.1.1. EXCELLENT SCIENCE - European Research Council (ERC)
ERC-2018
ERC-2019-ADG