CoBRAIN aims to develop solutions for wear and corrosion-resistant coatings by thermal spraying, generating experimental and computational datasets and developing a specific domain ontology to enable their interoperability. A unique synergy of these datasets and the data on material lifecycle sustainability, are used in Deep Learning (DL) algorithms to provide support to decision-making processes in the development of industrial components.

CoBRAIN is a 48-month project and its goals will be achieved through the implementation of eight (8) WPs, including: 5 technical WPs (WP1-5), Validation of CoBRAIN solution (WP6), Dissemination and Exploitation of CoBRAIN results (WP7). Finally, WP8 concerns project coordination and management.

CoBRAIN will develop a Sustainable Decision Support System (SDSS), that will produce and provide guidance for interested industrial end-users on how to choose the optimal path between the technologies and processes of the proposed work to reach the desired products. Technology solutions for a sustainable coatings portfolio will be favored as they offer the capability to estimate their impact on the economy and the environment.