Suchergebnisse

Dehm, G.; Weikum, G.; Neugebauer, J.: Organizer of the "BiGmax Workshop 2022 on Big-Data-Driven Materials Science". (2022)

Tehranchi, A.; Zhang, S.; Zendegani, A.; Scheu, C.; Hickel, T.; Neugebauer, J.: Metastable defect phase diagrams as a tool to describe chemically driven defect formation: Application to planar defects. arXiv (2023)

Zhou, X.; Mathews, P.; Berkels, B.; Ahmad, S.; Alhassan, A. S. A.; Keuter, P.; Schneider, J. M.; Raabe, D.; Neugebauer, J.; Dehm, G. et al.; Hickel, T.; Scheu, C.; Zhang, S.: Constructing phase diagrams for defects by correlated atomic-scale characterization. arXiv (2023)

Tehranchi, A.; Chakraborty, P.; López Freixes, M.; McEniry, E.; Gault, B.; Hickel, T.; Neugebauer, J.: Tailoring negative pressure by crystal defects: Crack induced hydride formation in Al alloys. arXiv (2022)

Chakraborty, P.; Mouton, I.; Gault, B.; Tehranchi, A.; Neugebauer, J.; Hickel, T.: Effect of Sn on Generalized Stacking Fault Energy Surfaces in Zirconium and its Hydrides. arXiv (2022)

Poul, M.; Huber, L.; Bitzek, E.; Neugebauer, J.: Systematic Structure Datasets for Machine Learning Potentials: Application to Moment Tensor Potentials of Magnesium and its Defects. arXiv (2022)

Bhatt, S.; Katnagallu, S.; Neugebauer, J.; Freysoldt, C.: Accurate computation of chemical contrast in field ion microscopy. arXiv (2022)

Stricker, M.; Banko, L.; Sarazin, N.; Siemer, N.; Neugebauer, J.; Ludwig, A.: Computationally accelerated experimental materials characterization -- drawing inspiration from high-throughput simulation workflows. arXiv (2022)

Yoo, S.-H.; Kim, S.-H.; Woods, E.; Gault, B.; Todorova, M.; Neugebauer, J.: Origins of the hydrogen signal in atom probe tomography. arXiv (2021)