Publikationen von Ning Wang

Wang, N.; Freysoldt, C.; Zhang, S.; Liebscher, C.; Neugebauer, J.: Segmentation of Static and Dynamic Atomic-Resolution Microscopy Data Sets with Unsupervised Machine Learning Using Local Symmetry Descriptors. Microscopy and Microanalysis 27 (6), S. 1454 - 1464 (2021)

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)

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)

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.; Hickel, T.; Janßen, J.; Wang, N.; Zendegani, A.: High-throughput optimization of finite temperature phase stabilities: Concepts and application. Coffee with Max Planck, virtual seminar organized by the MPIE, Düsseldorf, Germany (2021)

Hickel, T.; Freysoldt, C.; Janßen, J.; Wang, N.; Zendegani, A.: High-throughput optimization of finite temperature phase stabilities: Concepts and application. Coffee with Max Planck, virtual seminar organized by the MPIE, Düsseldorf, Germany (2021)