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QUANTASTiC: QUANTum mechAnicS for prediction and arTificial Intelligence for early thermal runaway deteCtion and mitigation

Image: National Institute of Standards and Technology, public domain, via Wikimedia Commons (licence). Cropped and resized. Image credits
  • French National Research Agency (ANR)
  • 5 Jan 2026
  • France

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Project funded by French National Research Agency (ANR) (ANR science directorate (DGDS), programme AAPG2025, call 2025), research institution: INSTITUT DE RECHERCHES SUR LA CATALYSE ET L'ENVIRONNEMENT DE LYON - CNRS; ECOLE NORMALE SUPÉRIEURE DE LYON; UNIVERSITÉ LE HAVRE. ANR aid allocated: EUR 628,846.75, as stated by the source. Runs 2026-01-05 to n/a. Source: ANR funded projects (data.gouv.fr) (national funding data, not CORDIS).

Original source.

Source: ANR funded projects (data.gouv.fr), French National Research Agency (Agence nationale de la recherche, ANR). Retrieved 2026-10-24. Licence: Open Database Licence (ODbL) 1.0: ANR, data.gouv.fr; shared alike. Selected metadata, adapted presentation; the publisher's record is authoritative. No endorsement by the source is implied. Contains Open data of the French National Research Agency (ANR) on data.gouv.fr (ANR, data.gouv.fr, ODbL 1.0, https://opendatacommons.org/licenses/odbl/1-0/); a database that includes this data is shared under the ODbL. Licence: Open Database Licence (ODbL 1.0).

AI-assisted summary: The QUANTASTiC project, funded by the French National Research Agency, focuses on quantum mechanics for predicting and mitigating thermal runaway. It involves institutions such as CNRS and ENS Lyon, with funding of EUR 628,846.75, running from January 5, 2026. Suggested technology pillar: simulation. Generated by AI from the public source text; it may contain errors and the original source is authoritative.

Source: doi.org · checked 24 Oct 2026 · AI-assisted summary