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Wei, Y.; Varanasi, R. S.; Schwarz, T.; Gomell, L.; Zhao, H.; Larson, D. J.; Sun, B.; Liu, G.; Chen, H.; Raabe, D. et al.; Gault, B.: Machine-learning-enhanced time-of-flight mass spectrometry analysis. Patterns 2 (2), 100192 (2021)

Zhu, L.-F.; Janßen, J.; Ishibashi, S.; Körmann, F.; Grabowski, B.; Neugebauer, J.: A fully automated approach to calculate the melting temperature of elemental crystals. Computational Materials Science 187 (11), 110065 (2021)

Ashton, M. W.; Mishra, A.; Neugebauer, J.; Freysoldt, C.: Ab initio Description of Bond-Breaking in Large Electric Fields. Physical Review Letters 124 (17), 176801 (2020)

Breen, A. J.; Stephenson, L.; Sun, B.; Li, Y.; Kasian, O.; Raabe, D.; Herbig, M.; Gault, B.: Solute hydrogen and deuterium observed at the near atomic scale in high-strength steel. Acta Materialia 188, pp. 108 - 120 (2020)

Cao, G.; Ouyang, R.; Ghiringhelli, L. M.; Scheffler, M.; Liu, H.; Carbogno, C.; Zhang, Z.: Artificial intelligence for high-throughput discovery of topological insulators: The example of alloyed tetradymites. Physical Review Materials 4 (3), 034204 (2020)

Centi, A.; Dutta, A.; Parekh, S. H.; Bereau, T.: Inserting Small Molecules across Membrane Mixtures: Insight from the Potential of Mean Force. Biophysical Journal 118 (6), pp. 1321 - 1332 (2020)

Freysoldt, C.; Mishra, A.; Ashton, M. W.; Neugebauer, J.: Generalized dipole correction for charged surfaces in the repeated-slab approach. Physical Review B 102 (4), 045403 (2020)

Giri, S. K.; Saalmann, U.; Rost, J. M.: Purifying Electron Spectra from Noisy Pulses with Machine Learning Using Synthetic Hamilton Matrices. Physical Review Letters 124 (11), 113201 (2020)

Knoop, F.; Purcell, T.; Scheffler, M.; Carbogno, C.: Anharmonicity measure for materials. Physical Review Materials 4 (8), 083809 (2020)

Knoop, F.; Purcell, T.; Scheffler, M.; Carbogno, C.: FHI-vibes: Ab Initio Vibrational Simulations. The Journal of Open Source Software 5 (56), 2671 (2020)

Kühbach, M. T.; Roters, F.: Quantification of 3D spatial correlations between state variables and distances to the grain boundary network in full-field crystal plasticity spectral method simulations. Modelling and Simulation in Materials Science and Engineering 28, 055005 (2020)

Litman, Y.; Behler, J.; Rossi, M.: Temperature dependence of the vibrational spectrum of porphycene: a qualitative failure of classical-nuclei molecular dynamics. Faraday Discussions 221, pp. 526 - 546 (2020)

Penke, C.; Marek, A.; Vorwerk, C.; Draxl, C.; Benner, P.: High Performance Solution of Skew-symmetric Eigenvalue Problems with Applications in Solving the Bethe-Salpeter Eigenvalue Problem. Parallel Computing 96, 102639, 8 pages (2020)

Raabe, D.; Sun, B.; Kwiatkowski da Silva, A.; Gault, B.; Yen, H.-W.; Sedighiani, K.; Prithiv, T. S.; Souza Filho, I. R.; Katnagallu, S.; Jägle, E. A. et al.; Kürnsteiner, P.; Kusampudi, N.; Stephenson, L.; Herbig, M.; Liebscher, C.; Springer, H.; Zaefferer, S.; Shah, V.; Wong, S. L.; Baron, C.; Diehl, M.; Roters, F.; Ponge, D.: Current Challenges and Opportunities in Microstructure-Related Properties of Advanced High-Strength Steels. Metallurgical and Materials Transactions A 51, pp. 5517 - 5586 (2020)

Sutton, C. A.; Boley, M.; Ghiringhelli, L. M.; Rupp, M.; Vreeken, J.; Scheffler, M.: Identifying domains of applicability of machine learning models for materials science. Nature Communications 11, 4428 (2020)

Xian, R. P.; Acremann, Y.; Agustsson, S. Y.; Dendzik, M. R.; Bühlmann, K.; Curcio, D.; Kutnyakhov, D.; Pressacco, F.; Heber, M.; Dong, S. et al.; Pincelli, T.; Demsar, J.; Wurth, W.; Hofmann, P.; Wolf, M.; Scheidgen, M.; Rettig, L.; Ernstorfer, R.: An open-source, end-to-end workflow for multidimensional photoemission spectroscopy. Scientific Data 7, 442 (2020)

Zacharias, M.; Scheffler, M.; Carbogno, C.: Fully anharmonic nonperturbative theory of vibronically renormalized electronic band structures. Physical Review B 102 (4), 045126 (2020)

Bartel, C. J.; Sutton, C. A.; Goldsmith, B. R.; Ouyang, R.; Musgrave, C. B.; Ghiringhelli, L. M.; Scheffler, M.: New tolerance factor to predict the stability of perovskite oxides and halides. Science Advances 5 (2), eaav0693 (2019)

Diehl, M.; Kühbach, M.: Coupled experimental-computational analysis of primary static recrystallization in low carbon steel. Modelling and Simulation in Materials Science and Engineering 28 (1), 014001 (2019)

Draxl, C.; Scheffler, M.: The NOMAD Laboratory: From Data Sharing to Artificial Intelligence. JPhys Materials 2 (3), 036001 (2019)

Goldsmith, B.; Florian, J.; Liu, J.-X.; Grüne, P.; Lyon, J. T.; Rayner, D. M.; Fielicke, A.; Scheffler, M.; Ghiringhelli, L. M.: Two-to-three dimensional transition in neutral gold clusters: The crucial role of van der Waals interactions and temperature. Physical Review Materials 3 (1), 016002 (2019)

Janßen, J.; Surendralal, S.; Lysogorskiy, Y.; Todorova, M.; Hickel, T.; Drautz, R.; Neugebauer, J.: pyiron: An integrated development environment for computational materials sciences. Computational Materials Science 163, pp. 24 - 36 (2019)

Kapil, V.; Engel, E.; Rossi, M.; Ceriotti, M.: Assessment of Approximate Methods for Anharmonic Free Energies. Journal of Chemical Theory and Computation 15 (11), pp. 5845 - 5857 (2019)

Kontis, P.; Chauvet, E.; Peng, Z.; He, J.; Kwiatkowski da Silva, A.; Raabe, D.; Tassin, C.; Blandin, J.-J.; Abed, S.; Dendievel, R. et al.; Gault, B.; Martin, G.: Atomic-scale grain boundary engineering to overcome hot-cracking in additively-manufactured superalloys. Acta Materialia 177, pp. 209 - 221 (2019)