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18:15 |
MM 12.1 |
Time-of-Flight X-ray Photoelectron Microscopy (ToF-X-PEEM) — •G. Schönhense, O. Tkach, O. Fedchenko, Y. Lytvynenko, D. Vasilyev, Q.L. Nguyen, T.R.F. Peixoto, A. Gloskovskii, S. Chernov, M. Hoesch, N. Wind, M. Heber, C. Schlueter, C. Sharma, K. Rossnagel, M. Scholz, and H.-J. Elmers
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18:15 |
MM 12.2 |
Chlorine Corrosion of Superheater Steels — •Matthias Kroh, Sebastian Pentz, Ferdinand Haider, and Georg Krupkov
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18:15 |
MM 12.3 |
Nanoscale heat transport in heterostructures measured with UXRD at European XFEL — •Jan-Etienne Pudell, Marc Herzog, Max Mattern, Jasmin Jarecki, Alexander von Reppert, Ulrike Boesenberg, Angel Rodriguez-Fernandez, Wonhiuk Jo, Roman Shayduk, Wei Lu, Gregory Malinowski, Michel Hehn, Matias Bargheer, and Anders Madsen
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18:15 |
MM 12.4 |
Structural evolution and atomic transport in severely deformed bi-metallic samples — •Shraddha V. Sevlikar, Gerhard Wilde, and Sergiy V. Divinskiy
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18:15 |
MM 12.5 |
Study of Electron Transport in a DNA model — •Jorge Cardenas-Gamboa, José García, and Solmar Varela
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18:15 |
MM 12.6 |
Investigations on thermal contact conductance between filled polymer composites and solids using micro thermography — •Oliver Roser, Andreas Griesinger, and Othmar Marti
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18:15 |
MM 12.7 |
Hydrogen Diffusion in High-Pressure Torsion (HPT) deformed Magnesium and Magnesium-alloys — •Giorgia Guardi, Sabine Schlabach, Julia Ivanisenko, Stefan Wagner, and Astrid Pundt
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18:15 |
MM 12.8 |
A systematic investigation of metastable phases in Niobium using density-functional theory — •Susanne Kunzmann, Gabi Schierning, and Anna Grünebohm
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18:15 |
MM 12.9 |
Computational local point-based boundary conditions method for eigenfrequencies in microwave eccentric spherical cavities — •Zoya Eremenko, Igor Volovichev, Oleksiy Breslavets, and Grigorios Zouros
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18:15 |
MM 12.10 |
Machine learning force fields in VASP — •Ferenc Karsai, Andreas Singraber, Jonathan Lahnsteiner, Ryosuke Jinnouchi, and Georg Kresse
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18:15 |
MM 12.11 |
Structure prediction of iron hydrides at high pressures by machine-learned interatomic potentials — •Hossein Tahmasbi, Kushal Ramakrishna, Mani Lokamani, Mandy Bethkenhagen, and Attila Cangi
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18:15 |
MM 12.12 |
Machine Learning Interatomic Potentials for amorphous mesoporous metallosilicates — •Julian Greif, Konstantin Gubaev, and Blazej Grabowski
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18:15 |
MM 12.13 |
Deep learning for generation of optimal reaction environments — •Rhyan Barrett and Julia Westermayr
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18:15 |
MM 12.14 |
Efficient graph neural networks for accurate interatomic potentials between surfaces and adsorbed atoms — •Nian Wu, Fabio Priante, Eric Kramer Rosado, and Adam S Foster
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18:15 |
MM 12.15 |
Investigation of bonding mechanism between early transition metals and antimony — •Carolin Petersen, Christian Stenz, and Matthias Wuttig
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18:15 |
MM 12.16 |
DFT structural characterization of β- and δ- intermetallic Al-Fe-Si phases — •Nebahat Bulut, Hanka Becker, Andreas Leineweber, and Jens Kortus
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18:15 |
MM 12.17 |
A method for charge-sloshing free precise linear-scaling density-functional calculations — •Rudolf Zeller
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18:15 |
MM 12.18 |
How to Train a Neural Network Potential — •Alea Miako Tokita and Jörg Behler
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18:15 |
MM 12.19 |
PyRamanGUI: An open-source multi-purpose tool to analyze Raman spectra — •Simon Brehm, Cameliu Himcinschi, Jakob Kraus, and Jens Kortus
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18:15 |
MM 12.20 |
Non-contact friction on various material systems — •Kim Lambert, Niklas Weber, Matthias Krüger, and Cynthia Vokert
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18:15 |
MM 12.21 |
Thermodynamical Stability Analysis of a Model Quasicrystal — •Moritz Holzwarth, Johannes Roth, and Hans-Rainer Trebin
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18:15 |
MM 12.22 |
Excitation-induced non-thermal effects in silicon — •Simon Kümmel, Dominic Klein, and Johannes Roth
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18:15 |
MM 12.23 |
Towards understanding the chemical bonding of unconventional metals — •Christian Stenz, Johannes Holters, and Matthias Wuttig
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18:15 |
MM 12.24 |
An efficiently automated method to sample the energies of grain boundaries — •Timo Schmalofski, Martin Kroll, Rebecca Janisch, and Holger Dette
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18:15 |
MM 12.25 |
Cubic scaling GW in the exciting code — •Manoar Hossain, Alexander Buccheri, Andris Gulans, and Claudia Draxl
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18:15 |
MM 12.26 |
Physics Informed Neural Networks based Solvers for the Time-Dependent Schrödinger Equation — •Karan Shah and Attila Cangi
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18:15 |
MM 12.27 |
High-throughput calculations for property maps of solids — •Daniela Ivanova, Daniel Wortmann, Stefan Blügel, Matthias Wuttig, and Carl-Friedrich Schön
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18:15 |
MM 12.28 |
A high-level workflow-based approach towards the exploration of magnetocaloric Heusler alloys by automated high-throughput simulations — •Simon Bekemeier, Alisa Chirkova, and Christian Schröder
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18:15 |
MM 12.29 |
Ontology-Template-Based Description of Anisotropic Conductivity Measurements — •Lennart Schwan, Michael Feige, Moritz Bluhm, Basil Ell, Andreas Hütten, and Sonja Schöning
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18:15 |
MM 12.30 |
An Ontology of Magnetocaloric Materials Research — Simon Bekemeier, Moritz Blum, Luana Caron, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, and •Martin Wortmann
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18:15 |
MM 12.31 |
Laser processing of metal materials created by additive technologies. Optimization of structure and mechanical properties — •Iryna Galstian, Evgen Len, Tobias Gustmann, and Nicole Geißler
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18:15 |
MM 12.32 |
MD Simulation of 3D Laser Printing — •Jonas Schmid, Kevin Vietz, Dominic Klein, and Johannes Roth
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18:15 |
MM 12.33 |
Molecular dynamics simulation of additive manufacturing: A highly non-equilibrated business — •Kevin Vietz, Azad Gorgis, Dominic Klein, and Johannes Roth
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18:15 |
MM 12.34 |
Atomistic simulations of crack-tip interface interactions in lamellar TiAl microstructures — •Onur Can Sen and Rebecca Janisch
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18:15 |
MM 12.35 |
The contribution has been withdrawn.
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18:15 |
MM 12.36 |
Fracture surface energy of glasses obtained from crystalline structure and bond energy data — •Marco Holzer, Tina Waurischk, Janine George, Robert Maaß, and Ralf Müller
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18:15 |
MM 12.37 |
An in situ crack detection approach in additive manufacturing based on acoustic emission and machine learning — •Viktoriia Nikonova, Denys Kononenko, Dmitry Chernyavsky, Mikhail Seleznev, and Jeroen van den Brink
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