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Publications of Alaukik Saxena

Journal Article (3)

1.
Journal Article
Bauer, S.; Benner, P.; Bereau, T.; Blum, V.; Boley, M.; Carbogno, C.; Catlow, C. R. A.; Dehm, G.; Eibl, S.; Ernstorfer, R. et al.; Fekete, A.; Foppa, L.; Fratzl, P.; Freysoldt, C.; Gault, B.; Ghiringhelli, L. M.; Giri, S. K.; Gladyshev, A.; Goyal, P.; Hattrick-Simpers, J.; Kabalan, L.; Karpov, P.; Khorrami, M. S.; Koch, C.; Kokott, S.; Kosch, T.; Kowalec, I.; Kremer, K.; Leitherer, A.; Li, Y.; Liebscher, C.; Logsdail, A. J.; Lu, Z.; Luong, F.; Marek, A.; Merz, F.; Mianroodi, J. R.; Neugebauer, J.; Pei, Z.; Purcell, T.; Raabe, D.; Rampp, M.; Rossi, M.; Rost, J.-M.; Saal, J. E.; Saalmann, U.; Sasidhar, K. N.; Saxena, A.; Sbailo, L.; Scheidgen, M.; Schloz, M.; Schmidt, D. F.; Teshuva, S.; Trunschke, A.; Wei, Y.; Weikum, G.; Xian, R. P.; Yao, Y.; Yin, J.; Zhao, M.; Scheffler, M.: Roadmap on Data-Centric Materials Science. Modelling and Simulation in Materials Science and Engineering 32 (6), 063301 (2024)
2.
Journal Article
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), pp. 1658 - 1670 (2023)
3.
Journal Article
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)

Talk (7)

4.
Talk
Freysoldt, C.; Saxena, A.; Wang, N.; Sreekala, L.; Saikia, U.: Perspectives for machine learning applied to data-rich experiments on complex materials. Kolloquium Transregio 270 at Universität Duisburg-Essen, Duisburg, Germany (2024)
5.
Talk
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)
6.
Talk
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)
7.
Talk
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)
8.
Talk
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)
9.
Talk
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)
10.
Talk
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)

Thesis - Master (1)

11.
Thesis - Master
Saxena, A.: Machine learning the formation of defect phases in aluminium alloys. Master, Ruhr-Universität Bochum (2020)

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