Professorship of Data-driven Materials Modeling
Popular repositories
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Semi-supervised_Invertible_Neural_Operators
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generative-physics-informed-pde
generative-physics-informed-pde PublicGenerative model employing semi-supervised learning and physical constraints for learning a PDE surrogate.
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Physics-enhanced_NN_SmallData
Physics-enhanced_NN_SmallData PublicPhysics-enhanced Neural Networks in the Small Data Regime
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IncorporatingPhysicalConstraints
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Probabilistic_Koopman_Learning
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predictive-cvs
predictive-cvs PublicPredictive collective variable discovery with deep Bayesian models for atomistic systems.
Repositories
- Semi-supervised_Invertible_Neural_Operators Public
Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems
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- Embedded_Physics_MD Public
Embedded-physics machine learning for coarse-graining and collective variable discovery without data
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Code of Bachelor Thesis: Creating CNNs and evaluating predictions of microstructure properties for different parameters
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A physics-aware, probabilistic machine learning framework for coarse-graining high-dimensional systems in the Small Data regime
- ModelCalibration Public Forked from BAMresearch/LebeDigital
Development of general interfaces to make model calibration tasks transparent
- probeye Public Forked from BAMresearch/probeye
A general framework for setting up parameter estimation problems.
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