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DPG

Regensburg 2019 – wissenschaftliches Programm

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4364 Ergebnisse auf 437 Seiten: 1116 117 118 119 120437

Mi, 19:00 DY 32.15 MIEZE spectroscopy of sub-picosecond collective dynamics in bulk liquid waterOlaf Soltwedel, •Leonie Spitz, Johanna K Jochum, Andreas Wendl, Christian Pfleiderer, and Christian Franz
Mi, 15:00 DY 36.1 Hauptvortrag: Quantum Machine Learning — •Anatole von Lilienfeld
Mi, 15:30 DY 36.2 Quantum Monte Carlo method for Vibrational Frequencies — •Yu Yang Liu and Gareth Conduit
Mi, 15:45 DY 36.3 Localized Basis Functions for Variationally Enhanced Sampling — •Benjamin Pampel, Kurt Kremer, and Omar Valsson
Mi, 16:00 DY 36.4 Representing molecules and materials for accurate interpolation of quantum-mechanical calculations — •Marcel Langer, Alex Goessmann, and Matthias Rupp
Mi, 16:15 DY 36.5 Machine Learning of Free Energies — •Clemens Rauer and Tristan Bereau
Mi, 16:30 DY 36.6 Deep Learning for Multiscale Simulations of Soft Matter Systems — •Marc Stieffenhofer, Tristan Bereau, and Michael Wand
Mi, 16:45 DY 36.7 Unsupervised machine learning of chemical compound space for hierarchical screening and coarse-graining applications — •Kiran Kanekal, Kurt Kremer, and Tristan Bereau
Mi, 17:15 DY 36.8 Understanding three-body contributions to coarse-grained force fields — •Christoph Scherer, Rene Scheid, Tristan Bereau, and Denis Andrienko
Mi, 17:30 DY 36.9 Reweighting Dynamics of Nonequilibrium Steady States — •Marius Bause, Timon Wittenstein, Kurt Kremer, and Tristan Bereau

4364 Ergebnisse auf 437 Seiten: 1116 117 118 119 120437

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DPG-Physik > DPG-Verhandlungen > 2019 > Regensburg