Machine-Learning for Optimized Ab-initio Quantum Transport Simulations (MALOQ)

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Swiss National Science Foundation (SNSF)
1 Jan 2026 to 31 Dec 2029

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Project funded by Swiss National Science Foundation (SNSF) (Project funding), grant 10005965. Participating organisations named by the source: ETH Zurich. Runs 2026-01-01 to 2029-12-31. Keywords: Engineering Sciences. Source: OpenAIRE Graph, from the funder's project data (collected by OpenAIRE on 2026-02-22); 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 2026-10-24. 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 MALOQ project, funded by the Swiss National Science Foundation, focuses on machine-learning for optimized quantum transport simulations. It involves ETH Zurich and runs from January 1, 2026, to December 31, 2029. Suggested technology pillar: simulation. Generated by AI from the public source text; it may contain errors and the original source is authoritative.

Source: explore.openaire.eu · checked 24 Oct 2026 · AI-assisted summary