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AI supports analysis of metallic materials - With our specially developed algorithm, we are three times faster
Until now, the analysis of crystalline microstructures in metallic materials has been technically challenging and particularly time-consuming. Researchers from the fields of materials engineering .
Thomas niendorf
David meier
Alexander liehr
Department of metallic materials
University of kassel
Metallic materials department
Department of intelligent embedded systems
Metallic materials
Helmholtz zentrum berlin
Intelligent embedded systems
Bernhard sick
X ray structure analysis
Crystal structures
Shape memory alloys
Machine learning
Artificial intelligence
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