Researcher Portfolio

 
   

Dr. rer. nat. Freysoldt, Christoph

Defect Chemistry and Spectroscopy, Computational Materials Design, Max Planck Institute for Sustainable Materials, Max Planck Society, Defect Chemistry and Spectroscopy, Computational Materials Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, Theory, Fritz Haber Institute, Max Planck Society  

 

Researcher Profile

 
Position: Defect Chemistry and Spectroscopy, Computational Materials Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society
Position: Theory, Fritz Haber Institute, Max Planck Society
Position: Defect Chemistry and Spectroscopy, Computational Materials Design, Max Planck Institute for Sustainable Materials, Max Planck Society
Researcher ID: https://pure.mpg.de/cone/persons/resource/persons125143

External references

 

Publications

 
  (1 - 25 of 164)
 : Li, Y., Wei, Y., Saxena, A., Kühbach, M., Freysoldt, C., & Gault, B. (2026). Machine learning enhanced atom probe tomography analysis. Progress in Materials Science, 156: 101561. doi:10.1016/j.pmatsci.2025.101561. [PubMan] : Morgado, F., Stephenson, L., Bhatt, S., Freysoldt, C., Neumeier, S., Katnagallu, S., Subramanyam, A., Pietka, I., Hammerschmidt, T., Vurpillot, F., & Gault, B. (2025). Stacking Fault Segregation Imaging With Analytical Field Ion Microscopy. Microscopy and Microanalysis, 31(1): ozae105. doi:10.1093/mam/ozae105. [PubMan] : Freysoldt, C., Saxena, A., Wang, N., Sreekala, L., Saikia, U., Gault, B., & Liebscher, C. (2024). Automated Analysis of data-rich experiments for microstructure imaging. Talk presented at Material Science and Engineering 2024 (MSE24). Darmstadt, Germany. 2024-09-24 - 2024-09-26. [PubMan] : Saxena, A., Polin, N., Kühbach, M. T., Katnagallu, S., Kontis, P., Gault, B., & Freysoldt, C. (2024). A Machine Learning based Workflows to Quantify Atom Probe Tomography Data. Talk presented at Workshop "Frontiers of APT Physics, Data Processing, Analysis and Reconstruction“. Arlington, VA, USA. 2024-08-01 - 2024-08-02. [PubMan] : Bauer, S., Benner, P., Bereau, T., Blum, V., Boley, M., Carbogno, C., Catlow, C. R. A., Dehm, G., Eibl, S., Ernstorfer, R., 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. (2024). Roadmap on Data-Centric Materials Science. Modelling and Simulation in Materials Science and Engineering, 32(6): 063301. doi:10.1088/1361-651X/ad4d0d. [PubMan] : Freysoldt, C., Katnagallu, S., Neugebauer, J., Mishra, A., & Ashton, M. W. (2024). Perspectives for machine learning applied to data-rich experiments on complex materials. Talk presented at Workshop on local probes of chemical bonding and atom probe tomography at RWTH Aachen. Aachen, Germany. 2024-06-12 - 2024-06-14. [PubMan] : Freysoldt, C., Saxena, A., Wang, N., Sreekala, L., & Saikia, U. (2024). Perspectives for machine learning applied to data-rich experiments on complex materials. Talk presented at Kolloquium Transregio 270 at Universität Duisburg-Essen. Duisburg, Germany. 2024-03-12. [PubMan] : Kim, S.-H., Bhatt, S., Schreiber, D. K., Neugebauer, J., Freysoldt, C., Gault, B., & Katnagallu, S. (2024). Understanding atom probe’s analytical performance for iron oxides using correlation histograms and ab initio calculations. New Journal of Physics, 26(3): 033021. doi:10.1088/1367-2630/ad309e. [PubMan] : Saxena, A., Polin, N., Kusampudi, N., Katnagallu, S., Molina-Luna, L., Gutfleisch, O., Berkels, B., Gault, B., Neugebauer, J., & Freysoldt, C. (2023). A Machine Learning Framework for Quantifying Chemical Segregation and Microstructural Features in Atom Probe Tomography Data. Microscopy and Microanalysis, 29(5), 1658-1670. doi:10.1093/micmic/ozad086. [PubMan] : Neugebauer, J., Freysoldt, C., Todorova, M., & Van de Walle, C. G. (2023). Charged defects in semiconductors and beyond. Talk presented at 32nd International Conference on Defects in Semiconductors. Rehoboth Beach, DE, USA. 2023-09-10 - 2023-09-15. [PubMan] : Freysoldt, C., Katnagallu, S., Bhatt, S., Saxena, A., & Ashton, M. W. (2023). Pushing the limits of APT and FIM by pushing theoretical approaches. Talk presented at APT & M 2023. Leuven, Belgium. 2023-09-17 - 2023-09-21. [PubMan] : Freysoldt, C., Saxena, A., Wang, N., & Sreekala, L. (2023). Perspectives for machine learning applied to data-rich experiments on complex materials. Talk presented at Materials Chain International Conference. Bochum, Germany. 2023-08-31. [PubMan] : Ferraz Morgado, F., Bhatt, S., Stephenson, L., Mouton, I., Neugebauer, J., Raabe, D., Freysoldt, C., Gault, B., & Katnagallu, S. (2023). Role of Simulations and Experiments in Analytical Field Ion Microscopy. Microscopy and Microanalysis, 29(Supplement_1), 602. doi:10.1093/micmic/ozad067.291. [PubMan] : Ferraz Morgado, F., Bhatt, S., Stephenson, L., Mouton, I., Neugebauer, J., Raabe, D., Freysoldt, C., Gault, B., & Katnagallu, S. (2024). Advanced Data Processing and Ab Initio Simulations for Insights into Atom Probe Tomography Correlations. Talk presented at Workshop on local probes of chemical bonding and atom probe tomography (RWTH). Aachen, Germany. 2024-06-12 - 2024-06-13. [PubMan] : Ferraz Morgado, F., Bhatt, S., Stephenson, L., Mouton, I., Neugebauer, J., Raabe, D., Freysoldt, C., Gault, B., & Katnagallu, S. (2023). Experiment and Simulation Advances for atomic scale characterization using analytical field ion microscopy. Talk presented at Microscopy & Microanalysis 2023 (M&M 2023). Minneapolis, MN, USA. 2023-07-23 - 2023-07-27. [PubMan] : Bhatt, S., Katnagallu, S., Neugebauer, J., & Freysoldt, C. (2023). Accurate computation of chemical contrast in field ion microscopy. Physical Review B, 107(23): 235413. doi:10.1103/PhysRevB.107.235413. [PubMan] : Freysoldt, C., Wang, N., Sreekala, L., Bukka, S. R., Goyal, P. K., Liebscher, C., Saxena, A., & Gault, B. (2023). Pattern discovery and quantification in experimental data from scanning transmission electron tomography (STEM) and atom probe tomography (APT). Talk presented at Big Max Summer School. Cap Roig, Spain. 2023-05-25. [PubMan] : Freysoldt, C. (2023). Exploring data-rich materials analytics with machine learning: how and why. Talk presented at Physikalisches Kolloquium, Universität Marburg. Marburg, Germany. 2023-05-03. [PubMan] : Dou, B., Falletta, S., Neugebauer, J., Freysoldt, C., Zhang, X., & Wei, S.-H. (2023). Chemical Trend of Nonradiative Recombination in Cu⁡(In,Ga)⁢Se2 Alloys. Physical Review Applied, 19: 054054. doi:10.1103/PhysRevApplied.19.054054. [PubMan] : Freysoldt, C., Hennig, R. G., & Neugebauer, J. (2023). Ab initio calculations of charged defects at surfaces. Talk presented at APS March Meeting 2023. Las Vegas, NV, USA. 2023-03-05 - 2023-03-10. [PubMan] : Ferraz Morgado, F., Bhatt, S., Stephenson, L., Mouton, I., Neugebauer, J., Raabe, D., Freysoldt, C., Gault, B., & Katnagallu, S. (2023). Role of Simulations and Experiments in Analytical Field Ion Microscopy. Talk presented at Invited Seminar, Hyderabad University. Hyderabad, India. 2023-02-16. [PubMan] : Bhatt, S., Katnagallu, S., Freysoldt, C., & Neugebauer, J. (2023). DFT study on field ion microscopy contrast. Talk presented at Invited Seminar, Rouen University. Rouen, France. 2023-02-06. [PubMan] : Katnagallu, S., Freysoldt, C., Gault, B., & Neugebauer, J. (2023). Ab initio vacancy formation energies and kinetics at metal surfaces under high electric field. Physical Review B, 107(4): L041406. doi:10.1103/PhysRevB.107.L041406. [PubMan] : 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., & Vurpillot, F. (2023). Introducing field evaporation energy loss spectroscopy. Communications Physics, 6: 100. doi:10.1038/s42005-023-01203-2. [PubMan] : Gault, B., Klaes, B., Morgado, F. F., Freysoldt, C., Li, Y., De Geuser, F., Stephenson, L., & Vurpillot, F. (2022). Reflections on the Spatial Performance of Atom Probe Tomography in the Analysis of Atomic Neighborhoods. Microscopy and Microanalysis, 28(4), 1116-1126. doi:10.1017/S1431927621012952. [PubMan]