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Applied AI for battery R&D

Reference number
Coordinator Chalmers Tekniska Högskola AB - Institutionen för fysik
Funding from Vinnova SEK 58 649
Project duration November 2020 - May 2023
Status Completed
Venture AI - Competence, ability and application
Call Staff exchange for applied AI research

Purpose and goal

By applying AI in the battery area, we can strengthen both data collection and interpretation of data in the battery literature. This partly through the development of new tools and partly through applying analysis to lab-generated data as well as literature data.

Expected results and effects

1 bachelor thesis Spring 2024 1 scientific publication - to be submitted Autumn 2023

Planned approach and implementation

A series of visits to LRCS and web meetings.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 26 July 2023

Reference number 2020-02321

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