Kühbach, M. T.; Kasemer, M.; Gault, B.; Breen, A. J.: Open and strong-scaling tools for atom-probe crystallography: high-throughput methods for indexing crystal structure and orientation. Journal of Applied Crystallography 54 (Pt 5), pp. 1490 - 1508 (2021)

Leitherer, A.; Ziletti, A.; Ghiringhelli, L. M.: Robust recognition and exploratory analysis of crystal structures via Bayesian deep learning. Nature Communications 12 (1), 6234 (2021)

Li, Y.; Zhou, X.; Colnaghi, T.; Wei, Y.; Marek, A.; Li, H.; Bauer, S.; Rampp, M.; Stephenson, L.: Convolutional neural network-assisted recognition of nanoscale L1₂ ordered structures in face-centred cubic alloys. npj Computational Materials 7 (1), 8 (2021)

Maksimov, D.; Baldauf, C.; Rossi, M.: The conformational space of a flexible amino acid at metallic surfaces. International Journal of Quantum Chemistry 121 (3), e26369 (2021)

Mianroodi, J. R.; Hamidi Siboni, N.; Raabe, D.: Teaching solid mechanics to artificial intelligence—a fast solver for heterogeneous materials. npj Computational Materials 7, 99 (2021)

Seiler, H.; Krynski, M.; Zahn, D.; Hammer, S.; Windsor, Y. W.; Vasileiadis, T.; Pflaum, J.; Ernstorfer, R.; Rossi, M.; Schwoerer, H.: Nuclear dynamics of singlet exciton fission in pentacene single crystals. Science Advances 7 (26), eabg0869 (2021)

Stoll, A.; Benner, P.: Machine Learning for Material Characterization with an Application for Predicting Mechanical Properties. GAMM-Mitteilungen: Special Issue: Scientific Machine Learning - Part I 44 (1), e202100003, 21 pages (2021)

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), pp. 1454 - 1464 (2021)

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)