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Machine Learning Simulation of Many-Body Quantum Matter

Image: National Institute of Standards and Technology, public domain, via Wikimedia Commons (licence). Cropped and resized. Image credits
  • Swiss National Science Foundation (SNSF)
  • 1 Sep 2021 to 31 Aug 2025

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Project funded by Swiss National Science Foundation (SNSF) (Project funding), grant 200336. Participating organisations named by the source: École Polytechnique Fédérale de Lausanne EPFL. Runs 2021-09-01 to 2025-08-31. Keywords: Physics. Source: OpenAIRE Graph, from the funder's project data (collected by OpenAIRE on 2026-07-23); 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 project "Machine Learning Simulation of Many-Body Quantum Matter" is funded by the Swiss National Science Foundation with grant 200336, running from September 1, 2021, to August 31, 2025, and involves École Polytechnique Fédérale de Lausanne (EPFL). It focuses on physics. 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