Success Stories Page 1 of 5. 1 2 3 … 5 Next Physics Meets AI for the CO2-reduced Manufacturing of Steel Products The manufacturing of high-quality steel products with customized properties and a reduced CO2 footprint is possible through the use of physically... Read more Deep Learning for Refractory Materials A deep learning-based approach enabling the automated evaluation of the particle dissolution rate with high precision. Read more Predictive Modeling of Strength in High Entropy Alloys Computational design of alloys can reduce cost of advanced materials development Read more Tool Condition Monitoring for Drilling Tools for Better Productivity and Process Reliability Real-time diagnosis of damage via sensor data analyses during on-going production operations enables major increase in efficiency. Read more Prediction of Decisive Material Properties of Aircraft Components MCL is developing a model network that predicts spatially resolved fracture toughness and strength in the aircraft component. Read more Use of Probabilistic Programming Languages for Material Models Researchers at MCL and TU Wien use new programming languages to make material models more meaningful. Read more Towards the Zero-defect Management of Through Silicon Vias (TSVs) in the Production Line Advanced defect localization and classification of TSVs at Wafer Level Using Machine Learning Methods. Read more Software Platform for AI-based Material Development At MCL existing material knowledge is combined with artificial intelligence to significantly accelerate material development. Read more AI Turbo for the Development of Bainitic Steels With the help of AI-supported models, the development time of sustainable high-performance steels is drastically reduced. Read more Hot-dip Galvanizing Process: Insights into the Formation of Fe2Al5 Particles Experimental and numerical methods shed light on the formation of Fe2Al5 particles during the hot-dip galvanizing process Read more Page 1 of 5. 1 2 3 … 5 Next
