coatML

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