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coatML
OPEN CALL 2 | INNOVATION SUPPORT
Name: Development of simulation-based cloud computing and machine learning technology for next-generation coating process setup towards net zero by 2050
Resource efficiency
Abstract: Thickness is one of the key features of any coating. This project aims to develop a digital twin solution for democratisation of high-speed coating simulations for end-users. Using coatML, end-users will be able to save time, HPC resources and man hours thereby lowering the costs of industrial coating-measurements for different applications. Thus, coatML will increase the digitalisation level of the coating sector and provide large material savings boosting tomorrow’s decarbonised systems.
Main applicant
- Name: Lyras EE -MultifluidX
- Country: Greece
Second applicant
- Name: Kaleidosim Technologies AG
- Country: Switzerland
Industrial partner
- Name: Coatmaster AG
- Country: Switzerland
