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Home   /   E&T program   /   Continuous Professional Development   /   Advanced manufacturing for the development of materials for energy transition

Advanced manufacturing for the development of materials for energy transition

Matériaux pour les nouvelles technologies de l'énergie

Materials

Additive manufacturing

New energy technologies

Technologies and data sciences

New formation !

In summary

Technological and digital innovation are very important drivers in the implementation of a circular economy. In this context, this professional training will focus on describing processes whose methodology has a considerable impact on the acceleration of Materials Science and Engineering. The integrated approach of additive manufacturing, the synthesis and safe integration of nano-objects into devices and cutting edge surface engineering processes will be more specifically studied; the contribution of digital technologies, both for design and development using Artificial Intelligence approaches will also be discussed. Finally, many applications in the low-carbon energy field will be highlighted.

Who should take this course ?

PHD students, post-docs, engineers or process technicians.

Learning outcomes

  • Understand emerging processes such as advanced surface engineering processes, the integrated approach to additive manufacturing and nanofabrication
  • Cite examples of process optimization using AI
  • Identify the contribution of emerging processes to the recycling, minimization and substitution of critical materials within the framework of a circular economy
  • Access to emerging process platforms for practical work
  • The IMPACT chair will finance the registration fees for doctoral students, upon request and depending on availability. To apply, please send a CV and a cover letter to servane.coste@cea.fr
  • Technological and digital innovation in a circular economy
  • Processes: The integrated approach to additive manufacturing, the secure synthesis and integration of nano-objects and surface engineering processes
  • Correlation between process parameters and usage properties
  • Contribution of artificial intelligence to process optimization
  • Practical work to choose between 3 possibilities (nanofabrication, additive manufacturing or PVD)

Master's degree in materials science, solid state chemistry or physic.

Teaching method and tools

Contact(s)

Program manager :

Servane COSTE-LECONTE
servane.coste-leconte@cea.fr
+33 1 69 08 33 89

training sessions

No training session is scheduled for the moment, if this training interests you, please contact us.

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