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We actively contribute to the materials science and polymer engineering community through conferences, publications, and industry collaborations.
Invited speaker presenting physics-informed machine learning approaches for polymer materials prediction.
Participating in Austria's leading technology and career fair, showcasing PolyCore platform capabilities.
Invited presentation on how established companies can leverage startup collaboration for innovation.
Presented our EN ISO 1852-1 prediction model for PP pipe lifetime estimation, demonstrating significant savings per avoided late-failing specimen.
Showcased sustainable materials testing innovation at Austria's premier green technology startup event.
Awarded Austria Wirtschaftsservice (AWS) Deep Tech funding to develop cloud infrastructure and scalable platform foundations.
Recognized as a certified green startup by Steirische Wirtschaftsförderung (SFG) for sustainable innovation in materials science.
Secured ZAT Leoben Startup Combo and Green pre-seed funding for business concept development.
Additional peer-reviewed publications currently in progress, focusing on physics-informed feature engineering for polymer data fusion.
Conference paper presenting physics-informed Machine Learning approach for polymer pipe qualification. Abstract Book p.103.
We are always open to speaking opportunities, research collaborations, and industry partnerships.
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