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Starikov, S.; Smirnova, D.: Details of structure transformations in pure uranium and U-Mo alloys: Insights from classical atomistic simulation. Journal of Nuclear Materials 576, 154265 (2023)
22.
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Ferrari, A.; Körmann, F.; Asta, M. D.; Neugebauer, J.: Simulating short-range order in compositionally complex materials. Nature Computational Science 3 (3), S. 221 - 229 (2023)
23.
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Raabe, D.; Mianroodi, J. R.; Neugebauer, J.: Accelerating the design of compositionally complex materials via physics-informed artificial intelligence. Nature Computational Science 3 (3), S. 198 - 209 (2023)
24.
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Wang, N.; Hammerschmidt, T.; Hickel, T.; Rogal, J.; Drautz, R.: Influence of spin fluctuations on structural phase transitions of iron. Physical Review B 107 (10), 104108 (2023)
25.
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Kumar, N.; Lee, Y.; Lee, G.; Lee, S.; Lee, T.; Yoo, S.-H.; Stampfl, C.; Soon, A.; Jang, W.: Oxidic structures on copper-gold alloy nanofacets. Applied Surface Science 613, 155913 (2023)
26.
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Poul, M.; Huber, L.; Bitzek, E.; Neugebauer, J.: Systematic atomic structure datasets for machine learning potentials: Application to defects in magnesium. Physical Review B 107, 104103 (2023)
27.
Zeitschriftenartikel
Kiranbabu, S.; Qin, Y.; Sreekala, L.; Das, S. M.; Pippan, R.; Morsdorf, L.; Herbig, M.: Decomposition-resistant carbonitride precipitates in X30CrMoN15-1 high-nitrogen bearing steel deformed by high-pressure torsion. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 863, 144529 (2023)
28.
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Sözen, H. I.; Ener, S.; Maccari, F.; Fayyazi, B.; Gutfleisch, O.; Neugebauer, J.; Hickel, T.: Combined ab initio and experimental screening of phase stabilities in the Ce–Fe–Ti–X system (X=3d and 4d metals). Physical Review Materials 7 (1), 014410 (2023)
29.
Zeitschriftenartikel
Katnagallu, S.; Freysoldt, C.; Gault, B.; Neugebauer, J.: Ab initio vacancy formation energies and kinetics at metal surfaces under high electric field. Physical Review B 107 (4), L041406 (2023)
30.
Zeitschriftenartikel
Shodja, H. M.; Ordookhani, A.; Tehranchi, A.: Dynamic Concentrations and Potentials of Embedded Eccentrically Coated Magneto-Electro-Elastic Fiber Subjected to Anti-Plane Shear Waves. Journal of Elasticity 153 (1), S. 119 - 153 (2023)
31.
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Srinivasan, P.; Shapeev, A.; Neugebauer, J.; Körmann, F.; Grabowski, B.: Anharmonicity in bcc refractory elements: A detailed ab initio analysis. Physical Review B 107 (1), 014301 (2023)
32.
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Barba, D.; Egan, A.; Utada, S.; Gong, Y.; Tang, Y. T.; Mazanova, V.; Mills, M. J.; Reed, R. C.: Deformation Mechanisms Rationalisation to Design for Creep Resistance in Polycrystalline Ni-Based Superalloys. Metallurgical and Materials Transactions A 54, S. 1886 - 1901 (2023)
33.
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Fareed, A.; Rosalie, J. M.; Kumar, S.; Kar, S.; Hickel, T.; Faehler, S.; Maass, R.: Constrained incipient phase transformation in Ni-Mn-Ga films: A small-scale design challenge. Materials and Design 233, 112259 (2023)
34.
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Iankevich, G.; Sarkar, A.; Katnagallu, S.; Chellali, M. R.; Wang, D.; Velasco, L.; Singh, R.; Reisinger, T.; Kruk, R.; Hahn, H.: A New Class of Cluster-Matrix Nanocomposite Made of Fully Miscible Components. Advanced Materials 35 (9), 2208774 (2023)
35.
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Rousseau, L.; Normand, A.; Morgado, F. F.; Scisly Søreide, H.-S. M.; Stephenson, L.; Hatzoglou, C.; Da Costa, G.; Tehrani, K.; Freysoldt, C.; Gault, B. et al.; Vurpillot, F.: Introducing field evaporation energy loss spectroscopy. Communications Physics 6, 100 (2023)
36.
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Vaid, A.; Zaiser, M.; Bitzek, E.: Atomistic Simulations of Dislocation-Void Interactions in Concentrated Solid Solution Alloys. Metals 13 (10), 1655 (2023)

Vortrag (40)

37.
Vortrag
Neugebauer, J.: Boosting ab initio-based materials discovery by machine learning. MPCDF Workshop “High-performance computing, artificial intelligence, and data-intensive applications in the Max-Planck Society”, Schloss Ringberg, Tegernsee, Germany (2023)
38.
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Zhou, X.; Ahmadian, A.; Hickel, T.; Gault, B.; Ophus, C.; Liebscher, C.; Dehm, G.; Raabe, D.: Atomic Scale Analysis Reveals the Interplay between Grain Boundary Structure and Composition. MRS 2023, Boston, MA, USA (2023)
39.
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Neugebauer, J.: Boosting ab initio-based materials discovery by machine learning. AI MSE 2023 - Artificial Inteligence in Materials Science and Engineering, Saarbrücken, Germany (2023)
40.
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Todorova, M.; Surendralal, S.; Deißenbeck, F.; Wippermann, S. M.; Neugebauer, J.: Insights into electrochemical solid/liquid interfaces under potential control from first principles and atomistic calculations. TACO Colloquium, Universität Wien, Vienna, Austria (2023)
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