CAELESTIS

The CAELESTIS project aims to develop and integrate autonomously executed simulation workflows supporting design and optimization across aviation’s entire supply chain. The ecosystem will require High-Performance Computing (HPC) infrastructures to execute predictions and deliver outputs at realistic time scales massively. Machine learning tools will improve the detection of manufacturing flaws and quantify such uncertainties and their influence on the structural integrity of aircraft parts. The consortium is currently exploring specific standardisation strategies based on the research data generated during the project implementation. 

Reason for applying to HSbooster.eu services

By leveraging research data and insights gathered during the project implementation, the consortium aims to develop comprehensive standardization strategies that address key aspects of the HPC Simulation Ecosystem, promoting interoperability, efficiency, and reliability while advancing innovation and competitiveness within the aviation industry. the consortium aims to identify such strategies with the support of the HSBooter.