Machine Learning of Dynamic Quantum States

Project funded by Independent Research Fund Denmark (DFF-Forskningsprojekt2), grant 4258-00002A. Participating organisations named by the source: Aarhus University. Runs n/a to 2027-12-31. Keywords: machine learning, angle-resolved photoemission spectroscopy, quantum materials. Source: OpenAIRE Graph, from the funder's project data (collected by OpenAIRE on 2025-08-01); national funding data, not CORDIS.

Original source.

Source: OpenAIRE Graph: projects of national funders, OpenAIRE, from the project data of Independent Research Fund Denmark. Retrieved 2026-11-02. 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 of Dynamic Quantum States" is funded by the Independent Research Fund Denmark and involves Aarhus University. It focuses on machine learning, angle-resolved photoemission spectroscopy, and quantum materials, running until December 31, 2027. Suggested technology pillar: enabling. Generated by AI from the public source text; it may contain errors and the original source is authoritative.