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Treffer 11-20 von 26 (Suchzeit: 0.002 Sekunden).

Treffer Dokumente:

Erscheinungsdatum	Titel	Autor(en)
2018	A machine learning approach to model solute grain boundary segregation	Huber, Liam; Hadian, Raheleh; Grabowski, Blazej; Neugebauer, Jörg
2019	Ab initio based method to study structural phase transitions in dynamically unstable crystals, with new insights on the β to ω transformation in titanium	Korbmacher, Dominique; Glensk, Albert; Duff, Andrew Ian; Finnis, Michael W.; Grabowski, Blazej; Neugebauer, Jörg
2017	Accurate electronic free energies of the 3d, 4d, and 5d transition metals at high temperatures	Zhang, Xi; Grabowski, Blazej; Körmann, Fritz; Freysoldt, Christoph; Neugebauer, Jörg
2018	Anomalous phonon lifetime shortening in paramagnetic CrN caused by spin-lattice coupling: a combined spin and ab Initio molecular dynamics study	Stockem, Irina; Bergman, Anders; Glensk, Albert; Hickel, Tilmann; Körmann, Fritz; Grabowski, Blazej; Neugebauer, Jörg; Alling, Björn
2016	Atomic scale processes of phase transformations in nanocrystalline NiTi shape-memory alloys	Ko, Won-Seok; Maisel, Sascha B.; Grabowski, Blazej; Jeon, Jong Bae; Neugebauer, Jörg
2018	Calculating free energies of point defects from ab initio	Zhang, Xi; Grabowski, Blazej; Hickel, Tilmann; Neugebauer, Jörg
2018	GB code: a grain boundary generation code	Hadian, Sherry; Grabowski, Blazej; Neugebauer, Jörg
2022	Approximating the impact of nuclear quantum effects on thermodynamic properties of crystalline solids by temperature remapping	Dsouza, Raynol; Huber, Liam; Grabowski, Blazej; Neugebauer, Jörg
2021	A combined experimental and first-principles based assessment of finite-temperature thermodynamic properties of intermetallic Al3Sc	Gupta, Ankit; Tas, Bengü; Korbmacher, Dominique; Dutta, Biswanath; Neitzel, Yulia; Grabowski, Blazej; Hickel, Tilmann; Esin, Vladimir; Divinski, Sergiy V.; Wilde, Gerhard; Neugebauer, Jörg
2021	Finite-temperature interplay of structural stability, chemical complexity, and elastic properties of bcc multicomponent alloys from ab initio trained machine-learning potentials	Gubaev, Konstantin; Ikeda, Yuji; Tasnádi, Ferenc; Neugebauer, Jörg; Shapeev, Alexander V.; Grabowski, Blazej; Körmann, Fritz