MM 27: Transport in Materials: Diffusion, Charge or Heat Conduction
Donnerstag, 20. März 2025, 10:15–13:00, H22
Machine Learning, Quantum Theory
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10:15 |
MM 27.1 |
Modelling Heat Transport in Metal-Organic Frameworks with Machine Learned Potentials — •Martin Klotz, Florian Lindner, Sandro Wieser, and Egbert Zojer
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10:30 |
MM 27.2 |
The contribution has been withdrawn (duplicate of HL 3.3).
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10:45 |
MM 27.3 |
Modelling complex proton transport phenomena - Exploring the limits of fine-tuning and transferability of foundational machine-learned force fields — •Christian Dreßler, Malte Grunert, Jonas Hänseroth, Max Großmann, and Erich Runge
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11:00 |
MM 27.4 |
Understanding thermal transport in organic semiconductors using machine learned force fields — •Florian Unterkofler, Lukas Reicht, Lukas Legenstein, Sandro Wieser, Michele Simoncelli, and Egbert Zojer
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11:15 |
MM 27.5 |
Influence of Defects and Layer Twisting on Phonon Dynamics in Bilayer Graphene and MoS2 Using Machine Learned-Force Field Calculations — •Sabuhi Badalov and Harald Oberhofer
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11:30 |
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15 min. break
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11:45 |
MM 27.6 |
Thermoelectric quantum transport simulations via the time-linear nonequilibrium Green's function method — •Riku Tuovinen and Yaroslav Pavlyukh
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12:00 |
MM 27.7 |
Sublinear in temperature transport in kagome metals: interplay of Dirac cones and Van Hove singularities — •Nikolai Peshcherenko, Ning Mao, Claudia Felser, and Yang Zhang
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12:15 |
MM 27.8 |
Phonon induced heat transfer between gold nanogap electrodes — •Yuki Hanamura, Kazuma Kishimoto, Mizuki Tada, Ryo Yamada, and Hirokazu Tada
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12:30 |
MM 27.9 |
Hydrodynamics of Lorentz symmetric systems: a quantum Monte Carlo study — •Adrien Reingruber, Kitinan Pongsangangan, Fakher Assaad, and Maksim Ulybyshev
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12:45 |
MM 27.10 |
Transport coefficients of Weyl semimetals: the contribution of plasmons — •Kitinan Pongsangangan
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