Professorship of Data-driven Materials Modeling
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Semi-supervised_Invertible_Neural_Operators
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- Semi-supervised_Invertible_Neural_Operators Public
Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems
pkmtum/Semi-supervised_Invertible_Neural_Operators’s past year of commit activity - Embedded_Physics_MD Public
Embedded-physics machine learning for coarse-graining and collective variable discovery without data
pkmtum/Embedded_Physics_MD’s past year of commit activity - cnn-microstructures Public
Code of Bachelor Thesis: Creating CNNs and evaluating predictions of microstructure properties for different parameters
pkmtum/cnn-microstructures’s past year of commit activity - PDE-coarse-grain Public
A physics-aware, probabilistic machine learning framework for coarse-graining high-dimensional systems in the Small Data regime
pkmtum/PDE-coarse-grain’s past year of commit activity - ModelCalibration Public Forked from BAMresearch/LebeDigital
Development of general interfaces to make model calibration tasks transparent
pkmtum/ModelCalibration’s past year of commit activity - probeye Public Forked from BAMresearch/probeye
A general framework for setting up parameter estimation problems.
pkmtum/probeye’s past year of commit activity
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