Young Ceramics Networks
YCN Representative - France
Bertille Belleville
YCN representative for France
PhD student at CIRIMAT, Toulouse, France
bertille.belleville@toulouse-inp.fr
I graduated from the Bordeaux Graduate School of Materials, Agrifood and Chemistry with the French equivalent of a Master of Engineering (2024) in Material Science.
During my studies, I was enrolled in a degree apprenticeship and worked with SAFRAN Ceramics company for 3 years. In this research and development centre for thermostructural composite materials of SAFRAN Group, I discovered the ceramics field by working on the CIM (Ceramic Injection Molding) process to implement ceramic matrix composites with short ceramic fibers reinforcement.
I am currently a Ph.D. student within the CIRIMAT (Inter-University Center for Materials Research and Engineering) laboratory of Toulouse (France), supervised by Dr. David Grossin, Dr. Fabien Brouillet and Prof. Christèle Combes. My research focuses on the development of low-temperature reactive additive manufacturing applied to calcium phosphate compounds for bone defect reconstruction, more precisely on reactive binder jetting and robocasting of self-setting cement pastes.
During the first year of my Ph.D., I had the chance to attend several national and international conferences – such as the 19th edition of the ECerS conference – to present the first results obtained and to start connecting with other ceramists and YCN members. I also had the great opportunity to be part of the local committee for the yCAM (Young Ceramists Additive Manufacturing) forum in 2025, where I was able to contribute to the organization of this dynamic and inspiring event. As the newly YCN French representative, I really hope to contribute to the ceramics community and I look forward to helping YCN grow through science sharing.
Last news
YCN Newsletter 33 - Industry in Spot - Clément Darribeyros - 3DCeram France
Developing 3D-Printed Ceramic Cores for Aerospace Investment Casting
YCN Newsletter 33 - Expert opinion - Edgar Dutra Zanotto - UFSCar, Brazil
Artificial Intelligence in Glass Research and Development.
Machine learning (ML) is rapidly moving glass science from an empirical, trial-and-error discipline toward a predictive, data-driven field [1].
Information
Contact us for any information: youngceramists@ecers.org - We will respond to your inquiry as soon as possible!