Prof. Dr. Ulrich Kerzel
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Predicting Grain Boundary Segregation in Magnesium Alloys

An Atomistically Informed Machine Learning Approach

Posted on January 3, 2025

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Authors: Z. Xie, A. Atila, J. Guénolé, S. Korte-Kerzel, U. Kerzel [Read More]
Tags: Publication AI Materials Science

Resolution Enhancement of Scanning Electron Micrographs

Using Artificial Intelligence

Posted on January 2, 2025

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Authors: T. Reclik, S. Medghalchi, P. Schumacher, M. A. Wollenweber, T. Al-Samman, S. Korte-Kerzel, U. Kerzel [Read More]
Tags: Publication AI Materials Science Microscopy

Towards Defect Phase Diagrams

From Research Data Management to Automated Workflows

Posted on January 1, 2025

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Authors: K. Rejiba, S. Lee, Ch. Gasper, M. Freund, S. Korte-Kerzel, U. Kerzel [Read More]
Tags: Publication AI Materials Science

Automated Segmentation of Large Image Datasets

AI for Microstructure Characterisation and Damage Analysis

Posted on January 1, 2024

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Authors: S. Medghalchi, J. Kortmann, S. Lee, E. Karimi, U. Kerzel, S. Korte-Kerzel [Read More]
Tags: Publication AI Materials Science Computer Vision

Rate Dependence of Damage Formation

In Metallic-Intermetallic Mg–Al–Ca Composites

Posted on January 3, 2023

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Authors: S. Medghalchi, M. Zubair, E. Karimi, S. Sandlöbes-Haut, U. Kerzel, S. Korte-Kerzel [Read More]
Tags: Publication Materials Science AI
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Ulrich Kerzel  •  2026

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