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Smart Battery Manufacturing Research and Development Assistant based on Augmented Reality Technology and powered with the ARTISTIC project Computational Models

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Computational Model for Predicting Particle Fracture During Electrode Calendering (opens in new window)

Author(s): Jiahui Xu; Brayan Paredes‐Goyes; Zeliang Su; Mario Scheel; Timm Weitkamp; Arnaud Demortière; Alejandro A. Franco
Published in: Batteries & Supercaps, 2023, ISSN 2566-6223
Publisher: Wiley
DOI: 10.48550/arxiv.2306.02155

Time-Dependent Deep Learning Manufacturing Process Model for Battery Electrode Microstructure Prediction (opens in new window)

Author(s): Diego E. Galvez-Aranda, Tan Le Dinh, Utkarsh Vijay, Franco M. Zanotto, Alejandro A. Franco
Published in: Advanced Energy Materials, 2024, ISSN 1614-6840
Publisher: Wiley
DOI: 10.1002/aenm.202400376

Combining Virtual Reality with Mixed Reality for Efficient Training in Battery Manufacturing (opens in new window)

Author(s): Lucie Denisart; Diana Zapata‐Dominguez; Xavier David; Aubin Leclere; Romain Lelong; Chaoyue Liu; Jiahui Xu; Emilie Loup‐Escande; Alejandro A. Franco
Published in: Batteries & Supercaps, 2023, ISSN 2566-6223
Publisher: Wiley
DOI: 10.26434/chemrxiv-2023-g5m5h

Breaking down the Barriers between the Digital and the Real: Mixed Reality applied to battery manufacturing R&D and Training (opens in new window)

Author(s): Lucie Denisart, Javier F. Troncoso, Emilie Loup-Escande, Alejandro A. Franco
Published in: ChemRxiv (preprint), 2023
Publisher: ChemRxiv
DOI: 10.26434/chemrxiv-2023-q0vnf

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