Success Stories

Simulating the fracture behavior of refractory materials helps understand damage mechanisms and extend service life.

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Simulation environment for energy-autonomous wireless sensor nodes enables efficient design of cost-effective and long-lasting condition monitoring...

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Automated assessment of the feasibility and energy consumption of AI on microcontrollers enables an efficient design process, even for small...

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Improving predictive maintenance for railroad tracks

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The significant volume changes of silicon during charging and discharging lead to structural transformation (amorphization) of the material, which...

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4D imaging tomography of Li-ion cells reveals the lithiation behavior of silicon: insights enable improved batteries in terms of range, lifespan, …

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Digital materials development combines atomistic simulations, machine learning, and AI, reducing development time and material costs.

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Ensuring high-quality performance of metal-cutting tools made from recycled materials through high-temperature material testing in vacuum

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The newly developed “Fingerprint” method for analyzing H₂ desorption measurements enables faster development of hydrogen-resistant alloys for the...

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Modeling residual stresses in Ti-6Al-4V aircraft components helps improve understanding of the production process, reduce scrap, and thereby enhance...

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