Forschungsschwerpunkte
ML Augmented Molecular Simulations
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Advancing model fidelity with multi-body potentials parametrized by deep learning architectures and learning dynamics of molecular systems. [read more]
Bayesian Modeling & Active Learning
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Quantifying the uncertainty of molecular models and the posterior robust prediction of simulation results. [read more]
Concurrent Multiscale Simulations
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Developing new methods for concurrent multiscale simulations, where the system is simultaneously simulated at different resolution level models in different simulation domains. [read more]
Nanoscale Science
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Investigating physical phenomena emerging at the nanoscale. [read more]
Software
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All software links can be found here.
Our research is sponsored by
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