Imagine trying to fix a watch without being able to see the tiny gears moving inside. This project builds a high-tech 'microscope' system using X-rays and AI to watch exactly how battery chemicals react in real-time. By seeing these hidden movements, scientists can stop batteries from wearing out faster.
Battery innovation is stalled because engineers cannot see what is happening at the atomic level of the battery's internal interfaces. This lack of visibility leads to slower development of longer-lasting and faster-charging batteries.
A suite of operando nanoanalytical techniques combining X-ray, Raman, NMR, and AI-driven data analysis to monitor battery interfaces.
If you are an EV battery manufacturer dealing with unexpected battery degradation — this project developed nanoanalytical techniques that reveal atomic-level interface processes. This allows for the design of more durable cells that last longer.
If you are a smartphone battery developer dealing with slow charging speeds — this project developed operando charge transport modelling. This helps identify the exact bottlenecks at the battery interface to speed up energy flow.
If you are a grid-scale storage provider dealing with high replacement costs due to battery failure — this project developed AI-enhanced data analysis for battery interfaces. This enables the creation of more stable chemistries for long-term use.
Based on available project data, there is no specific pricing for the resulting tools, though the project received an EU contribution of EUR 4,996,340 for development.
The project focuses on developing nanoanalytical techniques and methodologies. Based on available project data, it is currently at the research and modelling stage rather than a mass-production scale.
The consortium emphasizes open data sharing and Open Science practices to align with Europe-wide initiatives. Specific licensing terms for commercial use are not detailed in the provided data.
The project integrates AI and Machine Learning to make data collection and analysis faster and more effective, though specific time-reduction numbers are not provided.
The project uses a combination of chemical, isotope, and physics-based techniques such as X-ray scattering and NMR. Based on available project data, these are operando techniques designed to study interfaces in detail.
The consortium is heavily research-oriented, consisting of 12 partners across 7 countries. With 8 research organizations and 2 universities, the academic weight is high, while industry representation is low at 17% (2 partners). This suggests the output will be high-precision scientific methodology rather than a turn-key commercial product.
Luxembourg Institute of Science and Technology (LIST)
Contact us to bridge the gap between these nanoanalytical findings and your battery production line.
