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Artificial Intelligence for the Sciences

Work Group 2018 |

Work Group 2018 |

The AI4Science Group (former Computational Molecular Biology - head: Frank Noé) is an interdisciplinary research unit active in the development of machine learning methods for the physical sciences. We have a strong profile in computational statistics, simulation and learning algorithms, and scientific software development. As a closely collaborating team of mathematicians, chemists, physicists and computer scientists, we put great emphasis on bridging the gaps between the various disciplines.

Our main research areas are

  • Physics-constrained learning algorithms
  • Complex dynamical systems analysis
  • Efficient generative learning methods for statistical mechanics
  • Highly accurate machine learning methods for quantum mechanics
  • Inference and enhancement of cutting-edge microscopy method
link to erc