2023

Saxena, Alaukik ; Polin, Nikita ; Kusampudi, Navyanth ; Katnagallu, Shyam ; Molina-Luna, Leopoldo ; Gutfleisch, Oliver ; Berkels, Benjamin ; Gault, Baptiste ; Neugebauer, Jörg ; Freysoldt, Christoph (2023)
A machine learning framework for quantifying chemical segregation and microstructural features in atom probe tomography data.
In: Microscopy and Microanalysis, 29 (5)
doi: 10.1093/micmic/ozad086
Artikel, Bibliographie

Sözen, Halil İbrahim ; Ener, Semih ; Maccari, Fernando ; Fayyazi, Bahar ; Gutfleisch, Oliver ; Neugebauer, Jörg ; Hickel, Tilmann (2023)
Combined ab initio and experimental screening of phase stabilities in the Ce-Fe-Ti-X system (X=3d and 4d metals).
In: Physical Review Materials, 7 (1)
doi: 10.1103/PhysRevMaterials.7.014410
Artikel, Bibliographie

2022

Rao, Ziyuan ; Tung, Po-Yen ; Xie, Ruiwen ; Wei, Ye ; Zhang, Hongbin ; Ferrari, Alberto ; Klaver, T. P. C. ; Körmann, Fritz ; Sukumar, Prithiv Thoudden ; Kwiatkowski da Silva, Alisson ; Chen, Yao ; Li, Zhiming ; Ponge, Dirk ; Neugebauer, Jörg ; Gutfleisch, Oliver ; Bauer, Stefan ; Raabe, Dierk (2022)
Machine learning–enabled high-entropy alloy discovery.
In: Science, 378 (6615)
doi: 10.1126/science.abo4940
Artikel, Bibliographie

2019

Sözen, Halil İbrahim ; Ener, Semih ; Maccari, Fernando ; Skokov, Konstantin P. ; Gutfleisch, Oliver ; Körmann, Fritz ; Neugebauer, Jörg ; Hickel, Tilmann (2019)
Ab initio phase stabilities of Ce-based hard magnetic materials and comparison with experimental phase diagrams.
In: Physical Review Materials, 3 (8)
doi: 10.1103/PhysRevMaterials.3.084407
Artikel, Bibliographie