Quantification & Simulation of Microstructures

Monday, September 12, 2022: 1:20 PM-2:00 PM
Convention Center: 262 (Ernest N. Morial Convention Center)
The quantification and simulation of microstructures and properties continues to be an important and growing field when models are known. When models are unknown, Machine Learning takes advantage of predicting outcomes without programming. Quantification of microstructural features in both 2 and 3 dimensions can present challenges in techniques and core principals and is vital to the development of effective simulation. This session will deal with all new technologies of data analysis with microstructures and considering the current developments and trends in Machine Learning. Dr. Dominik Britz, Saarland University
1:20 PM
Computational or Experimental? Interpreting X-ray Absorption and Diffraction Contrast for Massive Non-Destructive 3D Grain Mapping of Metals in Laboratory CT
Mr. Andy Holwell, Carl Zeiss Microscopy Ltd; Dr. Hrishikesh Bale, Carl Zeiss Microscopy LLC
1:40 PM
Machine Learning in microstructure analysis – Why only a holistic, materials science centered approach can form the basis for sustained successful implementations
Mr. Martin Müller, Saarland University, Material Engineering Center Saarland; Dr. Dominik Britz, Saarland University; Prof. Frank Mücklich, Material Engineering Center Saarland, Saarland University
See more of: Characterization of Materials and Microstructure through Metallography, Image Analysis, Machine Learning, and Mechanical Testing - Fundamental and Applied Studies
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