Aug 26 – 28, 2019
Nordita, Stockholm
Europe/Stockholm timezone

Slides From Talks


  • Alexander Balatsky
    "Dirac Materials and Informatics"
    Slides (PDF)

  • Jacob Biamonte
    "Variational Quantum Machine Learning"
    Slides (PDF)

  • Matthias Geilhufe
    "Organic Quantum Matter and the Organic Materials Database"
    Slides (PDF)

  • Mats Granath
    "Quantum error correction for the toric code using deep reinforcement learning"
    Slides (PDF)

  • Johan Hellsvik
    "Spin wave excitations of magnetic metalorganic materials"
    Slides (PDF)

  • Anatole von Lilienfeld
    "QML Chemspacelab Alchemy"
    Slides (PDF)

  • Johan Mentink
    "Machine Learning in Ultrafast Magnetism. New horizons for the fastest, densest and least dissipative brain-inspired computing"
    Slides (PDF)

  • Artem Oganov
    "Artificial intelligence methods for discovering novel materials and exotic chemistry"
    Slides (PDF)

  • Kristof Schütt
    "SchNet - An interpretable atomistic neural network"
    Slides (PDF)

  • Tess Smidt
    "Euclidean Neural Networks for Emulating Ab Initio Calculations and Generating Atomic Geometries"
    Slides (PDF)

  • Rio Tamura
    "Effective model estimation for magnetic materials by machine learning"
    Slides (PDF)
    Slides (Keynote)