Success Stories

A system for continuous rail monitoring that uses piezo-electric sensors and ultrasonic waves to detect surface cracks at an early stage.

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Novel method for investigating hydrogen embrittlement enables safer transport and storage materials

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Consideration of measurement and model uncertainties for recycling to minimize CO2 in steel production.

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The use of silicon for lithium-ion batteries enables significantly higher energy densities than graphite, but silicon still shows problems during...

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Bayesian modeling: a milestone in the thermal analysis of LEDs enables more reliable predictive maintenance.

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MCL employees hold key positions in national and international material development committees.

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Innovations in turnout construction: new materials and testing methods for the green future of mobility

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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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