Success Stories

Computational design of alloys can reduce cost of advanced materials development

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Real-time diagnosis of damage via sensor data analyses during on-going production operations enables major increase in efficiency.

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MCL is developing a model network that predicts spatially resolved fracture toughness and strength in the aircraft component.

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Researchers at MCL and TU Wien use new programming languages to make material models more meaningful.

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Advanced defect localization and classification of TSVs at Wafer Level Using Machine Learning Methods.

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At MCL existing material knowledge is combined with artificial intelligence to significantly accelerate material development.

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With the help of AI-supported models, the development time of sustainable high-performance steels is drastically reduced.

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Experimental and numerical methods shed light on the formation of Fe2Al5 particles during the hot-dip galvanizing process

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Pure ceramic tools reduce demand for rare metals

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Paint-free corrosion protection for wheelset shafts via deep rolling

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