Publications from the Defect Chemistry and Spectroscopy group

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)

Kim, S.-H.; Bhatt, S.; Schreiber, D. K.; Neugebauer, J.; Freysoldt, C.; Gault, B.; Katnagallu, S.: Understanding atom probe’s analytical performance for iron oxides using correlation histograms and ab initio calculations. New Journal of Physics 26 (3), 033021 (2024)

Freysoldt, C.; Saxena, A.; Wang, N.; Sreekala, L.; Saikia, U.; Gault, B.; Liebscher, C.: Automated Analysis of data-rich experiments for microstructure imaging. Material Science and Engineering 2024 (MSE24), Darmstadt, Germany (2024)

Saxena, A.; Polin, N.; Kühbach, M. T.; Katnagallu, S.; Kontis, P.; Gault, B.; Freysoldt, C.: A Machine Learning based Workflows to Quantify Atom Probe Tomography Data. Workshop "Frontiers of APT Physics, Data Processing, Analysis and Reconstruction“, Arlington, VA, USA (2024)

Freysoldt, C.; Katnagallu, S.; Neugebauer, J.; Mishra, A.; Ashton, M. W.: Perspectives for machine learning applied to data-rich experiments on complex materials. Workshop on local probes of chemical bonding and atom probe tomography at RWTH Aachen, Aachen, Germany (2024)

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)