Right in the center of Munich, at the picturesque Marienplatz, the PHyMoS consortium gathered for a final meeting. For the very last time in this constellation they came together with a representative from the public authorities to conclude the PHyMoS project funded by the German Federal Ministry of Economic Affairs and Climate Action (BMWK). The agenda of the two half days was packed with presentations contributed by all partners. The presentations were introduced and concluded by summarizing project views and the initial and achieved targets. Starting from the eight demonstrators the progress within all work packages was illustrated on practical applications. This included methods developed to generate “proper” models along with impressive tool prototypes, highlighting how Machine Learning has become an actual tool in the hands of simulation engineers, enabling significant gains in productivity by leveraging AI. Many of the developed solutions have already reached a high readiness level and there are concrete exploitation plans to enhance existing products and deliver new engineering solutions.
Remaining issues regarding standardization and further improvement of the methods are addressed in the on-going European ITEA4 OpenSCALING project.
The key results and achievements of PHyMoS have been summarized in a set of slides.
Presentation: PHyMoS Project Results Summary