Understanding Coupled Ionic and Electronic Dynamics in Battery Electrode Materials using Quantum Machine Learning

Project funded by Swiss National Science Foundation (SNSF) (Early Postdoc.Mobility), grant 195155. Participating organisations named by the source: Caltech Division of Chemistry and Chemical Engineering California Inst. of Techn.. Runs 2021-06-01 to 2022-11-30. Keywords: Engineering Sciences. 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 "Understanding Coupled Ionic and Electronic Dynamics in Battery Electrode Materials using Quantum Machine Learning" is funded by the Swiss National Science Foundation, running from June 1, 2021, to November 30, 2022, with participation from Caltech. Suggested technology pillar: enabling. Generated by AI from the public source text; it may contain errors and the original source is authoritative.