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fld talks – Universität Innsbruck

Vorträge 2023

Präsentationen auf Kongressen, Tagungen o.Ä.

Posterpräsentation
  • Vortragende/r: Kaur, Harpreet Co-AutorInnen: Caraglio, Michele; Franosch, Thomas: Reinforcement Learning: Optimizing Target-search in a homogeneous environment.
    DPG-Frühjahrstagung der Sektion Kondensierte Materie (SKM), Dresden, 30.03.2023. (Weblink)

Vorträge 2022

Präsentationen auf Kongressen, Tagungen o.Ä.

Konferenzvortrag (auf persönliche Einladung)
  • Vortragende/r: Franosch, T.: Persistent correlations in dilute Brownian suspensions in equilibrium and their fate upon strong driving.
    Non-Markovian Dynamics Far From Equilibrium, ICTP, Trieste, 05.05.2022. (Weblink)

  • Vortragende/r: Göppel, Simon Co-AutorInnen: Frikel, Jürgen; Haltmeier, Markus: Translation Invariant Frames and Regularization in Inverse Problems.
    20th International Conference of Numerical Analysis and Applied Mathematics 2022 (ICNAAM 2022), Heraklion, 23.09.2022. (Weblink)

Konferenzvortrag (auf Einreichung / Anmeldung)
  • Vortragende/r: Moriggl, Alexander Co-AutorInnen: Caliari, Marco; Einkemmer, lukas; Ostermann, Alexander: An accurate and time-parallel rational exponential integrator for hyperbolic and oscillatory PDEs.
    Conference on Mathematics of Wave Phenomena 2022, Karlsruhe, 15.02.2022. (Weblink)

  • Vortragende/r: Moriggl, Alexander Co-AutorInnen: Einkemmer, lukas: Semi-Lagrangian 4d, 5d, and 6d kinetic plasma simulation on large scale GPU equipped supercomputers.
    International Conference on Scientific Computation and Differential Equations (SciCADE 2022), Reykjavik, 27.07.2022. (Weblink)

Posterpräsentation
  • Vortragende/r: Kaur, Harpreet: Reinforcement learning: Optimizing Target-search in a homogeneous environment.
    X GEFENOL Summer School on Statistical Physics of Complex Systems, Palma de Mallorca, 29.08.2022. (Weblink)

Vorträge 2021

Präsentationen auf Kongressen, Tagungen o.Ä.

Konferenzvortrag (Invited Plenary / Keynote Lecture)
  • Vortragende/r: Probst, Michael Co-AutorInnen: Shermukhamedov, Shermux; Chen, Lei: Machine Learning in Materials Science: Simulation of Surface Sputtering and General Considerations.
    ANSCSE24 - 24th Symposium on Computational Science and Engineering, Nakhon Pathom (online), 28.04.2021. (Weblink)

Konferenzvortrag (auf persönliche Einladung)
  • Vortragende/r: Shermukhamedov, Shokirbek Co-AutorInnen: Probst, Michael: Progress in Sputtering Simulations.
    8. Fusion Day / 8. Fusionstag der ÖAW, Graz, hybrid, 19.11.2021.

  • Vortragende/r: Shermukhamedov, Shokirbek Co-AutorInnen: Probst, Michael; Chen, Lei: Neural Network Based Molecular Dynamics Simulations.
    The Fourth Central Asian Research Forum on Sustainable Development and Innovation: Early Researchers’ contributions towards sustainable future in Central Asia Nursultan, Nursultan, online, 15.03.2021. (Weblink)

Konferenzvortrag (auf Einreichung / Anmeldung)
  • Vortragende/r: Chen, Lei Co-AutorInnen: Probst, Michael; Shermukhamedov, Shokirbek: Atomistic modeling of plasma-wall interactions using machine learned potential energy functions.
    3rd International Conference on Data-Driven Plasma Science 2021 (ICDDPS-3), Okinawa (online), 31.03.2021. (Weblink)

  • Vortragende/r: Chen, Lei Co-AutorInnen: Shermukhamedov, Shokirbeck; Kaiser, Alexander; Probst, Michael: Atomistic modelling of plasma-wall interactions using machine learned potential energy surfaces.
    Al for Atoms (IAEA 2021), Wien, 27.10.2021. (Weblink)

  • Vortragende/r: Merten, Luas Co-AutorInnen: Boughelilba, M.; Reimer, A.; Da Vela, P.; Vorobiov, S.; Tavecchio, F.; Bonnoli, G.; Lundquist, J.P.; Righi, Chr.: FR-0 jetted active galaxies: extending the zoo of candidate sites for UHECR acceleration.
    37th International Cosmic Ray Conference (ICRC) 2021, Berlin, online, 13.07.2021. (Weblink)

  • Vortragende/r: Merten, lukas Co-AutorInnen: Boughelilba, M.; Reimer, A.; Da Vela, P.; Vorobiov, S.; Tavecchio, F.; Bonnoli, G.; Lundquist, J.P.; Righi, Ch.: UHECR Acceleration in FR-0 Jetted Active Galaxies.
    Gemeinsame Jahrestagung der SPS und ÖPG 2021 (Swiss and Austrian Physical Societies), Innsbruck, 01.09.2021. (Weblink)

  • Vortragende/r: Moriggl, Alexander: Efficient Solution of High-dimensional Problems from Plasma Physics on GPUs.
    17th IEEE International Conference on e-Science (eScience 2021), Innsbruck (online), 23.09.2021. (Weblink)

  • Vortragende/r: Probst, Michael Co-AutorInnen: Shermukhamedov, Shokirbek; Chen, Lei: Simulation of Surface Sputtering with Machine-Learned Forces.
    3rd International Conference on Data-Driven Plasma Science 2021 (ICDDPS-3), Okinawa (online), 31.03.2021. (Weblink)

Posterpräsentation
  • Vortragende/r: Pomarici, Nancy: Structural mechanism of Fab domain dissociation as a measure of interface stability.
    13th ÖGMBT Annual Meeting "From molecular machines to translational medicine”, Wien (online), 20.09.2021. (Weblink)

  • Vortragende/r: Pomarici, Nancy: Structural mechanism of Fab domain dissociation as a measure of interface stability.
    ISQBP President's Meeting 2021, Strasbourg, online, 29.06.2021. (Weblink)

  • Vortragende/r: Probst, Michael Co-AutorInnen: Chen, L.; Shermukhamedov, S.: Modelling Plasma-Wall Interactions by Neural-Network Based Molecular Dynamics Simulations: Sputtering from Be2W by Deuterium Impact.
    eSSENCE-EMMC e-Meeting on multiscale modelling of materials and molecules - physics-based and data-driven, Uppsala, online, 07.06.2021. (Weblink)

  • Vortragende/r: Probst, Michael Co-AutorInnen: Chen, L.; Shermukhamedov, S.: Modelling the Sputtering of the beryllium tungsten alloy Be2W by deuterium atoms: Molecular Dynamics with machine learned forces.
    18th International Conference on Plasma-Facing Materials and Components for Fusion Applications, Juelich, online, 18.05.2021. (Weblink)

  • Vortragende/r: Shermukhamedov, S. Co-AutorInnen: Chen, L.; Probst, M.: Sputtering of a Beryllium Target by Deuterium atoms.
    18th International Conference on Plasma-Facing Materials and Components for Fusion Applications, Juelich, online, 18.05.2021. (Weblink)

  • Vortragende/r: Shermukhamedov, S. Co-AutorInnen: Probst, Michael; Chen, Lei: Reflection and retention of low energy Deuterium on the Beryllium surfaces: predictions from machine learning potentials.
    eSSENCE-EMMC e-Meeting on multiscale modelling of materials and molecules - physics-based and data-driven, Uppsala, online, 07.06.2021. (Weblink)

  • Vortragende/r: Shermukhamedov, Shokirbek Co-AutorInnen: Chen, Lei; Probst, Michael: Neural Network Based Molecular Dynamics Simulations of Sputtering Processes.
    17th IEEE International Conference on e-Science (eScience 2021), Innsbruck (online), 22.09.2021. (Weblink)

  • Vortragende/r: Shermukhamedov, Shokirbek Co-AutorInnen: Probst, Michael; Bronshtein, Michael; Nazmutdinov, Renat: Modelling Electron Transfer Reactions Inside Carbon Nanotubes: Molecular Dynamics Simulations.
    ANSCSE24 - 24th Symposium on Computational Science and Engineering, Nakhon Pathom (online), 29.04.2021. (Weblink)

Vorträge 2020

Präsentationen auf Kongressen, Tagungen o.Ä.

Posterpräsentation
  • Vortragende/r: Shermukhamedov, Shokirbek Co-AutorInnen: Chen, Lei; Probst, Michael; Kaiser, Alexander: Angles of Reflection and Emission in Surface Sputtering.
    Multiscale modelling of materials and molecules - in complex systems, Uppsala, 08.06.2020. (Weblink)

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