Publications from the Defect Chemistry and Spectroscopy group

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)

Bhatt, S.; Katnagallu, S.; Neugebauer, J.; Freysoldt, C.: Accurate computation of chemical contrast in field ion microscopy. Physical Review B 107 (23), 235413 (2023)

Kiranbabu, S.; Qin, Y.; Sreekala, L.; Das, S. M.; Pippan, R.; Morsdorf, L.; Herbig, M.: Decomposition-resistant carbonitride precipitates in X30CrMoN15-1 high-nitrogen bearing steel deformed by high-pressure torsion. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 863, 144529 (2023)

Katnagallu, S.; Freysoldt, C.; Gault, B.; Neugebauer, J.: Ab initio vacancy formation energies and kinetics at metal surfaces under high electric field. Physical Review B 107 (4), L041406 (2023)

Iankevich, G.; Sarkar, A.; Katnagallu, S.; Chellali, M. R.; Wang, D.; Velasco, L.; Singh, R.; Reisinger, T.; Kruk, R.; Hahn, H.: A New Class of Cluster-Matrix Nanocomposite Made of Fully Miscible Components. Advanced Materials 35 (9), 2208774 (2023)

Rousseau, L.; Normand, A.; Morgado, F. F.; Scisly Søreide, H.-S. M.; Stephenson, L.; Hatzoglou, C.; Da Costa, G.; Tehrani, K.; Freysoldt, C.; Gault, B. et al.; Vurpillot, F.: Introducing field evaporation energy loss spectroscopy. Communications Physics 6, 100 (2023)

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)

Freysoldt, C.: Exploring data-rich materials analytics with machine learning: how and why. Physikalisches Kolloquium, Universität Marburg, Marburg, Germany (2023)

Freysoldt, C.; Hennig, R. G.; Neugebauer, J.: Ab initio calculations of charged defects at surfaces. APS March Meeting 2023, Las Vegas, NV, USA (2023)