Success Stories

MCL develops digital simulation models that map complex sapphire production processes. These innovations contribute to energy savings and the...

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The aspects of big-data machine learning algorithms are united with an in depth understanding of materials science to gain crucial insights into...

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The manufacturing of high-quality steel products with customized properties and a reduced CO2 footprint is possible through the use of physically...

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A deep learning-based approach enabling the automated evaluation of the particle dissolution rate with high precision.

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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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