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Harnessing the power of AI to understand warm dense matter


Credit: Attila Cangi
The study of warm dense matter helps us understand what is going on inside giant planets, brown dwarfs, and neutron stars. However, this state of matter, which exhibits properties of both solids and plasmas, does not occur naturally on Earth. It can be produced artificially in the lab using large X-ray experiments, albeit only at a small scale and for short periods of time. Theoretical and numerical models are essential to evaluate these experiments, which are impossible to interpret without formulas, algorithms, and simulations. Scientists at the Center for Advanced Systems Understanding (CASUS) at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR) have now developed a method to evaluate such experiments more effectively and faster than before. ....

United States , United Kingdom , Nordrhein Westfalen , Attila Cangi , Tobias Dornheim , Jan Vorberger , Shigenori Tanaka , Dave Chapman , Lawrence Livermore National Laboratory , Technical University Of Dresden , Helmholtz Centre For Environmental Research In Leipzig , Institute Of Radiation Physics , Helmholtz International Beamline , Stanford Linear Accelerator Center , Ministry Of Education , Z Machine At Sandia National Laboratories , Wroclaw University , Helmholtz Center Dresden , Sandia National Laboratories , Max Planck Institute For Molecular Cell Biology , Saxon State Ministry Of Science , Kobe University , National Ignition Facility , Stanford University , Advanced Systems Understanding , Helmholtz Zentrum Dresden Rossendorf ,