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Institute for Advanced Simulation (IAS)
Materials Data Science and Informatics (IAS-9)
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Research
Deep Learning for Electron Microscopy
Metadata and Information Systems
Micromechanics and Microstructure Modeling
Knowledge Engineering for Materials Science
Scientific Machine Learning and AI
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Transforming In Situ TEM with Advanced Deep Learning and Data Analytics
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Unlock Semiconductor Insights with AI-Powered Defect Detection
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Deep Learning for Fast PDE Surrogates
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Foundation Models for Multimodal Scientific Data
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From Texture Comparison to Inverse Materials Design
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Inverse Design of Materials Across the Process–Structure–Property Linkage
Projects and Collaborations
Publications
Teaching
Introduction to Data Mining and Machine Learning
Materials Data Science and Informatics
Micro- and Nanomechanics for Simulation Science
Application of Neural Networks and Machine Learning in Computational Material Modeling / Simulation
Textbook: Materials Data Science
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Last Modified: 23.04.2026
