A Look Back at the First Webinar on Machine Learning and Deep Learning for Thin-Layer Projects

A Look Back at the First Webinar on Machine Learning and Deep Learning for Thin-Layer Projects

Publié le

2 July 2026

On Wednesday, June 17, 2026, the PEPR DIADEM organized its first webinar focused on best practices, successes, and challenges encountered in the use of Machine Learning (ML) and Deep Learning (DL) in thin-film research projects. Particular emphasis was placed on the structuring of databases derived from thin-film deposition processes and characterization.

Hosted and coordinated by Elisabeth Blanquet, this online event brought together 47 participants from the PEPR scientific community. Over the course of two hours, the discussions provided an opportunity to share concrete feedback, present ongoing work, and identify common challenges related to the use of artificial intelligence in the study, design, and optimization of materials.

A program rich in lessons learned

Following an introduction outlining the webinar’s objectives and the challenges associated with integrating machine learning and deep learning approaches into thin-film projects, Jean-Luc Parouty (SIMap, Grenoble) discussed data management in artificial intelligence. The three presentations that followed illustrated the diversity of applications within the community:

Romain Meunier (ICMCB, Bordeaux) presented his work titled “Machine Learning Modeling for Thin Film Deposition Processes” which focuses on modeling thin-film deposition processes using machine learning.

Paul Foulquier (INSTN, Saclay) discussed the use of machine learning for the design of complex, high-entropy alloys in the context of hybrid HiPIMS/Pulsed DC PVD processes, with applications for low-carbon energy in extreme environments.

Imanol Setoain (CEA, Paris-Saclay) presented “DIAMOND: Towards Sustainable Management of Scientific Data” an approach aimed at improving the sustainable management and utilization of scientific data.

The session concluded with a discussion focused on questions, feedback, and the identification of future topics for collaborative work.

Toward a Community of Practice Focused on AI for Materials

Beyond the scientific presentations, this first meeting helped strengthen interactions among the consortium’s teams and brought to light shared needs regarding data utilization, learning methods, and the sharing of best practices.

The PEPR DIADEM project extends its warmest thanks to the speakers and all participants for the quality of the discussions and their contribution to the collective effort.

Stay tuned

A new webinar will be offered at the start of the school year to continue these discussions and support the development of artificial intelligence approaches within the DIADEM community.

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