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Machine-learning-driven engineering of quantum moiré nanostructures as (photo)electrocatalysts for the 21st-century hydrogen production

Image: Gavin Morley, CC BY-SA 4.0, via Wikimedia Commons (licence). Cropped and resized. Image credits
  • Swiss National Science Foundation (SNSF)
  • 1 Jan 2024 to 31 Dec 2024

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Project funded by Swiss National Science Foundation (SNSF) (Spark), grant 220781. Participating organisations named by the source: University of Zurich. Runs 2024-01-01 to 2024-12-31. Keywords: Chemistry. Source: OpenAIRE Graph, from the funder's project data (collected by OpenAIRE on 2023-11-10); national funding data, not CORDIS.

Original source.

Source: OpenAIRE Graph: projects of national funders, OpenAIRE, from the project data of Swiss National Science Foundation (SNSF). Retrieved 2026-11-01. 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 titled 'Machine-learning-driven engineering of quantum moiré nanostructures as (photo)electrocatalysts for the 21st-century hydrogen production' is funded by the Swiss National Science Foundation and involves the University of Zurich, running from January 1 to December 31, 2024. 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 1 Nov 2026 · AI-assisted summary