International Materials Applications & Technologies Conference and Exposition - IMAT (Oct. 16 - 19, 2023)
October 16 - 19, 2023
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Mr. Martin Müller
Saarland University
Saarbruecken Germany
Papers:
Efficient reconstruction of prior austenite grains in steel from etched light optical micrographs using deep learning and annotations from correlative microscopy
A new era in metallographic etching! Tracking down the microstructure with ThEtching.
Correlative microscopy meets machine learning - An approach for a combined microstructure quantification from microscopic images and EBSD data utilizing ML-based analysis