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Welcome to the Data Analytics in Engineering research group located at the University of Stuttgart, Institute of Applied Mechanics (CE) and the SC SimTech.
Generating and processing data from simulations and for simulations is our passion. Navigate to research to find out more about our scientific objectives.
For more information please visit our website.
Explore the fundamentals of implementing user-defined material routines in LS-DYNA using Python and C++. This includes the realization of two-scale simulation schemes using LS-DYNA.
AI4Engineering: Machine learning surrogates for universal microstructure-property forecasting with physical guarantees
Python 5
The AiiDA plugin for FANS, an FFT-based homogenization solver.
Microstructure utilities for creating, processing and exporting voxelized 3D microstructure image datasets
FANS: an open-source, highly efficient, and parallel FFT-based homogenization solver for microscale multiphysics problems.
Interactive interface for microstructure generation and diffusion simulation in polycrystalline materials
AI4Engineering: Machine learning surrogates for universal microstructure-property forecasting with physical guarantees
Thermo-elastic linear homogenization with reduced order models and support for greedy sampling
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