Publikationen von Alaukik Saxena

Saxena, A.; Polin, N.; Kusampudi, N.; Katnagallu, S.; Molina-Luna, L.; Gutfleisch, O.; Berkels, B.; Gault, B.; Neugebauer, J.; Freysoldt, C.: A Machine Learning Framework for Quantifying Chemical Segregation and Microstructural Features in Atom Probe Tomography Data. Microscopy and Microanalysis 29 (5), S. 1658 - 1670 (2023)

Ta, N.; Bilal, M. U.; Häusler, I.; Saxena, A.; Lin, Y.-Y.; Schleifer, F.; Fleck, M.; Glatzel, U.; Skrotzki, B.; Kamachali, R. D.: Simulation of the θ’ precipitation process with interfacial anisotropy effects in Al–Cu alloys. Materials 14 (5), 1280 (2021)

Freysoldt, C.; Katnagallu, S.; Bhatt, S.; Saxena, A.; Ashton, M. W.: Pushing the limits of APT and FIM by pushing theoretical approaches. APT & M 2023, Leuven, Belgium (2023)

Freysoldt, C.; Saxena, A.; Wang, N.; Sreekala, L.: Perspectives for machine learning applied to data-rich experiments on complex materials. Materials Chain International Conference, Bochum, Germany (2023)

Freysoldt, C.; Wang, N.; Sreekala, L.; Bukka, S. R.; Goyal, P. K.; Liebscher, C.; Saxena, A.; Gault, B.: Pattern discovery and quantification in experimental data from scanning transmission electron tomography (STEM) and atom probe tomography (APT). Big Max Summer School, Cap Roig, Spain (2023)

Polin, N.; Giron, S.; Adabifiroozjaei, E.; Yang, Y.; Saxena, A.; Gutfleisch, O.; Gault, B.: Atomic‐scale insights to design of high‐performing SmCo based sintered permanent magnets gained by atom probe tomography. DPG-Tagung der Sektion Kondensierte Materie (SKM), Regensburg, Germany (2022)

Polin, N.; Giron, S.; Adabifiroozjaei, E.; Yang, Y.; Saxena, A.; Gutfleisch, O.; Gault, B.: Atomic‐scale insights to design of high‐performing SmCo based sintered permanent magnets gained by atom probe tomography. 12th International Conference on Magnetic and Superconducting Materials (MSM22), Duisburg, Germany (2022)

Polin, N.; Giron, S.; Adabifiroozjaei, E.; Yang, Y.; Saxena, A.; Gutfleisch, O.; Gault, B.: Atomic‐scale Insights to Design of High‐Performing Hard Magnets Gained by Atom Probe Tomography. Atom Probe Tomography & Microscopy 2021 (Virtual Conference), Online (2021)

Saxena, A.: Machine learning the formation of defect phases in aluminium alloys. Master, Ruhr-Universität Bochum (2020)