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| Funder | European Commission |
|---|---|
| Recipient Organization | Universite de Picardie Jules Verne |
| Country | France |
| Start Date | Apr 01, 2022 |
| End Date | Sep 30, 2023 |
| Duration | 547 days |
| Number of Grantees | 1 |
| Roles | Coordinator |
| Data Source | European Commission |
| Grant ID | 101069244 |
The SMARTISTIC project aims at developing and demonstrating a first prototype of a smart and interactive Augmented Reality (AR) software designed to assist in the decision-making of battery scientists, engineers and operators while they are working in electrode formulation and manufacturing in laboratories or in production lines.
The software will be usable from tablets and AR glasses by touch gesture and hand gesture respectively. The software will blend holograms with the real world manufacturing equipment.
Such holograms will be powered with the unique physical and machine learning (ML) models developed and validated experimentally in my ERC CoG ARTISTIC project and which can predict the impact of manufacturing parameters on the final electrode properties.
By interacting with the holograms and without the need of programming skills, a user can in real-time create databases from her/his ongoing experiments, launch computations for analysis of experimental results, or request ML predictions about the impact of her/his intended formulation and manufacturing process on the electrode properties.
She/he can also use the software to analyze possible deviations between the experimental results and the predictions to identify more easily factors that could explain unexpected experimental results. The prototype will be developed by accounting for the users' needs and from the observation of work situations.
Once developed, we will perform tests and demonstrations to assess the software usability and ergonomics for its improvement while used in real situations.
They will be carried out in the battery manufacturing platform of our laboratory and in companies and in institutes which already manifested interest in our proof of concept. The assessments will permit improving the software to ensure its wide acceptance.
We will also analyze the IP, technology transfer and market opportunities to valorize the intended software, also thanks to networking activities.
Universite de Picardie Jules Verne
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