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Microcavity-enhanced Ultrafast Perovskite Quantum-Dot Light-Emitting Memristors for Neuromorphic Photonics

AI-generated illustration of glass photonic waveguides; not a project photograph.
  • Research Council of Finland
  • 1 Sep 2026 to 31 Aug 2030

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Outside the quantum-technology scope of this portal (quantum-dot materials for light, energy or biology): the title names quantum science but no quantum technology. The record is kept for reference and left out of the default projects listing and counts.

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Project funded by Research Council of Finland, grant 374566. Participating organisations named by the source: University of Turku. Funded amount: EUR 697,172, as stated by the source. Runs 2026-09-01 to 2030-08-31. Keywords: Materials engineering. Source: OpenAIRE Graph, from the funder's project data (collected by OpenAIRE on 2026-07-06); national funding data, not CORDIS. Abstract given by the source: The growing demand for artificial intelligence is pushing computing hardware to its energy limits, as data constantly shuttles between separate memory and processing units. This project addresses the fundamental bottleneck by developing light-emitting memristors, nanoscale devices that combine memory and light emission, eliminating energy-wasting electrical connections. Using solution-processed perovskite quantum dots embedded in optical microcavities, I will create artificial synapses. This research will be carried out at the University of Turku, focusing on nanomaterials science, photonics, and neuromorphic engineering. The technology could enable intelligent displays that process visual information directly within each pixel, drastically reducing AI energy consumption while enabling new, privacy-preserving edge computing systems that sense, compute, and display on a unified platform.

Original source.

Source: OpenAIRE Graph: projects of national funders, OpenAIRE, from the project data of Research Council of Finland. Retrieved 2026-10-28. Licence: Creative Commons Attribution 4.0 (OpenAIRE Graph). Selected metadata, adapted presentation; the publisher's record is authoritative. No endorsement by the source is implied. Licence: Creative Commons Attribution 4.0 (CC BY 4.0).

AI-assisted summary: The project "Microcavity-enhanced Ultrafast Perovskite Quantum-Dot Light-Emitting Memristors for Neuromorphic Photonics" is funded by the Research Council of Finland with EUR 697,172, running from 2026-09-01 to 2030-08-31 at the University of Turku. Suggested technology pillar: enabling. Generated by AI from the public source text; it may contain errors and the original source is authoritative.

Source: explore.openaire.eu · checked 28 Oct 2026 · AI-assisted summary