Artificial Intelligence in Physics

Presentations by Young Scientists; Moderator: Rainer Blatt

Monday, 1 July 2024
15:00 - 16:30 CEST



Quantum Machine Learning in High Energy Physics
Vasilis Belis, ETH Zurich, Switzerland

Thorax-Encompassing Multi-Modality PET/CT Deep Learning Model for Resected NSCLC Prognostication: A Retrospective Multi-Centre Study
Jaryd Christie, University of Western Ontario, Canada

Automated detection of laser cooling schemes for ultracold atoms and molecules
Anna Dawid-Łękowska, Flatiron Institute, United States of America

Optimizing ARPES experiments through AI: Achieving precise photon beam polarization with graphene calibration
Ridha Eddhib, University of West Bohemia, Czech Republic

Inferring Heisenberg Hamiltonians from a spin spectral function for a quantum spin liquid with machine learning
Netta Karjalainen, University of Helsinki, Finland

Combination of Artificial Intelligence and Disordered Medium to Overcome Long-standing Dilemma of Ultrasound Imaging
Wei Wang, Nanjing University, China

Towards Aerodynamic Flow Predictions with Physics-Informed Neural Networks and Quantum Circuits
Simon Wassing, German Aerospace Center - DLR, Germany

Moderator: Rainer Blatt
University of Innsbruck, Austria