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 |
Important results from the project
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 long term effects
1 bachelor thesis Spring 2024 1 scientific publication - to be submitted Autumn 2023
Approach and implementation
A series of visits to LRCS and web meetings.