Journal Article (620)

21.
Journal Article
Sung, M. Y.; Jang, T. J.; Song, S. Y.; Lee, G.; Ryou, K.; Oh, S.-H.; Lee, B.-J.; Choi, P.-P.; Neugebauer, J.; Grabowski, B. et al.; Körmann, F.; Ikeda, Y.; Zargaran, A.; Sohn, S. S.: Ultrastrong and ductile CoNiMoAl medium-entropy alloys enabled by L12 nanoprecipitate-induced multiple deformation mechanisms. Journal of Materials Science & Technology 225, pp. 72 - 86 (2025)
22.
Journal Article
Zhou, X.; Kumar, S.; Zhang, S.; Chen, X.; Gault, B.; Dehm, G.; Hickel, T.; Raabe, D.: Boron triggers grain boundary structural transformation in steel. Nature Communications 16 (1), 6927 (2025)
23.
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Hickel, T.; Divinski, S.; Starikov, S.; Soisson, F.; Mény, C.; Hegde, O.; Gerlitz, M.; Magnifouet, G.; Schneider, A.; Barreteau, C. et al.; Mirebeau, I.; Tran, V. T.; Förster, G. D.; Front, A.; Egorov, A.; Wilde, G.; Amara, H.; Hammerschmidt, T.; Mrovec, M.; Pierron-Bohnes, V.; Drautz, R.; Fu, C.-C.: Magnetism in iron alloys: methodological advances for thermodynamics, defects, and kinetics. International Journal of Materials Research 116 (6), pp. 474 - 525 (2025)
24.
Journal Article
Sarma, D.; Pegu, D.; Saikia, U.; Sahariah, M. B.: Exploring the effect of Ti on He clustering in CuZr metallic alloy. Physica Scripta 100 (7), 075918 (2025)
25.
Journal Article
Poul, M.; Huber, L.; Neugebauer, J.: Automated generation of structure datasets for machine learning potentials and alloys. npj Computational Materials 11 (1), 174 (2025)
26.
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Alvi, S. M. A. A.; Janssen, J.; Khatamsaz, D.; Perez, D.; Allaire, D.; Arróyave, R.: Hierarchical Gaussian process-based Bayesian optimization for materials discovery in high entropy alloy spaces. Acta Materialia 289, 120908 (2025)
27.
Journal Article
Wu, C.; Gong, Y.; Liu, C.; Li, X.; Gizer, G.; Pistidda, C.; Körmann, F.; Ma, Y.; Neugebauer, J.; Raabe, D.: Hydrogen accommodation and its role in lattice symmetry in a TiNbZr medium-entropy alloy. Acta Materialia 288, 120852 (2025)
28.
Journal Article
Bayerlein, B.; Waitelonis, J.; Birkholz, H.; Jung, M.; Schilling, M.; v. Hartrott, P.; Bruns, M.; Schaarschmidt, J.; Beilke, K.; Mutz, M. et al.; Nebel, V.; Königer, V.; Beran, L.; Kraus, T.; Vyas, A.; Vogt, L.; Blum, M.; Ell, B.; Chen, Y.-F.; Waurischk, T.; Thomas, A.; Durmaz, A. R.; Ben Hassine, S.; Fresemann, C.; Dziwis, G.; Nasrabadi, H. B.; Hanke, T.; Telong, M.; Pirskawetz, S.; Kamal, M.; Bjarsch, T.; Pähler, U.; Hofmann, P.; Leemhuis, M.; Özçep, Ö.; Meyer, L.-P.; Skrotzki, B.; Neugebauer, J.; Wenzel, W.; Sack, H.; Eberl, C.; Portella, P. D.; Hickel, T.; Mädler, L.; Gumbsch, P.: Concepts for a Semantically Accessible Materials Data Space: Overview over Specific Implementations in Materials Science. Advanced Engineering Materials 27 (8), 2401092 (2025)
29.
Journal Article
Bayerlein, B.; Waitelonis, J.; Birkholz, H.; Jung, M.; Schilling, M.; v. Hartrott, P.; Bruns, M.; Schaarschmidt, J.; Beilke, K.; Mutz, M. et al.; Nebel, V.; Königer, V.; Beran, L.; Kraus, T.; Vyas, A.; Vogt, L.; Blum, M.; Ell, B.; Chen, Y.-F.; Waurischk, T.; Thomas, A.; Durmaz, A.; Hassine, S.; Fresemann, C.; Dziwis, G.; Nasrabadi, H. B.; Hanke, T.; Telong, M.; Pirskawetz, S.; Kamal, M.; Bjarsch, T.; Pähler, U.; Hofmann, P.; Leemhuis, M.; Özçep, Ö. L.; Meyer, L.-P.; Skrotzki, B.; Neugebauer, J.; Wenzel, W.; Sack, H.; Eberl, C.; Portella, P. D.; Hickel, T.; Mädler, L.; Gumbsch, P.: Concepts for a Semantically Accessible Materials Data Space: Overview over Specific Implementations in Materials Science. Advanced Engineering Materials 27 (8), 2570025 (2025)
30.
Journal Article
Janßen, J.; Taylor, M.; Yang, P.; Neugebauer, J.; Perez, D.: Executorlib – Up-scaling Python workflows for hierarchical heterogenous high-performance computing. The Journal of Open Source Software (JOSS) 10 (108), 7782 (2025)
31.
Journal Article
Calderón, L. A. Á.; Shakeel, Y.; Gedsun, A.; Forti, M.; Hunke, S.; Han, Y.; Hammerschmidt, T.; Aversa, R.; Olbricht, J.; Chmielowski, M. et al.; Stotzka, R.; Bitzek, E.; Hickel, T.; Skrotzki, B.: Management of reference data in materials science and engineering exemplified for creep data of a singlecrystalline Nibased superalloy. Acta Materialia 286, 120735 (2025)
32.
Journal Article
Wang, J.; Yu, Y.; Ahmed Abdelkawy (Electrochemistry and Corrosion, (. a. C.; Li, J.; Li, J.; Yang, J.; Ko, E. K.; Lee, Y.; Thampy, V.; Cui, Y. et al.; Todorova, M.; Neugebauer, J.; Hwang, H.: Molecular H2 as the Reducing Agent in Low-Temperature Oxide Reduction Using Calcium Hydride. Journal of the American Chemical Society 147 (4), pp. 3032 - 3038 (2025)
33.
Journal Article
Geng, X.; Lu, X.; Wang, Z.; Gault, B.: Rational Grain Boundary Segregation Enables Long-Term Thermally Stable, Catalytically Active, and CO-Tolerant Nanograined Metals. Advanced Science, e12730 (2025)
34.
Journal Article
Zimmermann, Y.; Bazgir, A.; Al-Feghali, A.; Ansari, M.; Bocarsly, J.; Brinson, L. C.; Chiang, Y.; Circi, D.; Chiu, M.-H.; Daelman, N. et al.; Evans, M. L.; Gangan, A. S.; George, J.; Harb, H.; Khalighinejad, G.; Takrim Khan, S.; Klawohn, S.; Lederbauer, M.; Mahjoubi, S.; Mohr, B.; Mohamad Moosavi, S.; Naik, A.; Beste Ozhan, A.; Plessers, D.; Roy, A.; Schöppach, F.; Schwaller, P.; Terboven, C.; Ueltzen, K.; Wu, Y.; Zhu, S.; Janßen, J.; Li, C.; Foster, I.; Blaiszik, B.: 32 examples of LLM applications in materials science and chemistry: towards automation, assistants, agents, and accelerated scientific discovery. Machine Learning: Science and Technology 6 (3), 030701 (2025)
35.
Journal Article
Ghosh, S.; Ueltzen, K.; George, J.; Neugebauer, J.; Körmann, F.: Chemical ordering and magnetism in face-centered cubic CrCoNi alloy. npj Computational Materials 10 (1), 284 (2024)
36.
Journal Article
Hachet, G.; Tehranchi, A.; Shi, H.; Prabhakar, J. M.; Wei, S.; Angenendt, K.; Zaefferer, S.; Gault, B.; Sun, B.; Ponge, D. et al.; Raabe, D.: Segregation at prior austenite grain boundaries: The competition between boron and hydrogen. International Journal of Hydrogen Energy 95, pp. 734 - 746 (2024)
37.
Journal Article
Xu, X.; Zhang, X.; Bitzek, E.; Schmauder, S.; Grabowski, B.: Origin of the yield stress anomaly in L12 intermetallics unveiled with physically informed machine-learning potentials. Acta Materialia 281, 120423 (2024)
38.
Journal Article
Zhu, L.-F.; Körmann, F.; Chen, Q.; Selleby, M.; Neugebauer, J.; Grabowski, B.: Accelerating ab initio melting property calculations with machine learning: application to the high entropy alloy TaVCrW. npj Computational Materials 10 (1), 274 (2024)
39.
Journal Article
Janßen, J.; Makarov, E.; Hickel, T.; Shapeev, A. V.; Neugebauer, J.: Automated optimization and uncertainty quantification of convergence parameters in plane wave density functional theory calculations. npj Computational Materials 10 (1), 263 (2024)
40.
Journal Article
Menon, S.; Lysogorskiy, Y.; Knoll, A. L. M.; Leimeroth, N.; Poul, M.; Qamar, M.; Janssen, J.; Mrovec, M.; Rohrer, J.; Albe, K. et al.; Behler, J.; Drautz, R.; Neugebauer, J.: From electrons to phase diagrams with machine learning potentials using pyiron based automated workflows. npj Computational Materials 10 (1), 261 (2024)
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