Furthering the development of a materials acceleration platform for sustainable batteries (combining AI, big data, autonomous synthesis robotics, high throughput testing) (Batt4EU Partnership)
- Infrastructure tools for secure remote data access, data analysis and predictive modelling: Develop a FAIR[[ FAIR (Findable, Accessible, Interoperable, Reusable)]] data infrastructure for raw and curated experimental and modelling data, which can be accessed remotely and securely by relevant stakeholders, including industry. Develop the software infrastructure required to operate this platform, also with regard to future reproducibility and further exploitation of the results of the research activities. The software should provide specific access right and allow remote data access, complemented by distributed workflows using software-agnostic workflow engines that provide rapid-prototyping. Inverse materials design using hybrid physics- and data-driven battery interface genome models should also be demonstrated.
- Automated high throughput characterisation and integrated experimental and computational workflows: High throughput, multimodal operando experimental techniques us