Andersen, C. W.; Armiento, R.; Blokhin, E.; Conduit, G. J.; Dwaraknath, S.; Evans, M. L.; Fekete, Á.; Gopakumar, A.; Gražulis, S.; Merkys, A. et al.; Mohamed, F. R.; Oses, C.; Pizzi, G.; Rignanese, G.-M.; Scheidgen, M.; Talirz, L.; Toher, C.; Winston, D.; Aversa, R.; Choudhary, K.; Colinet, P.; Curtarolo, S.; Di Stefano, D.; Draxl, C.; Er, S.; Esters, M.; Fornari, M.; Giantomassi, M.; Govoni, M.; Hautier, G.; Hegde, V.; Horton, M. K.; Huck, P.; Huhs, G.; Hummelshøj, J.; Kariryaa, A.; Kozinsky, B.; Kumbhar, S.; Liu, M.; Marzari, N.; Morris, A. J.; Mostofi, A. A.; Persson, K. A.; Petretto, G.; Purcell, T.; Ricci, F.; Rose, F.; Scheffler, M.; Speckhard, D.; Uhrin, M.; Vaitkus, A.; Villars, P.; Waroquiers, D.; Wolverton, C.; Wu, M.; Yang, X.: OPTIMADE, an API for exchanging materials data. Scientific Data 8, 217 (2021)

Andersen, C. W.; Armiento, R.; Blokhin, E.; Conduit, G. J.; Dwaraknath, S.; Evans, M. L.; Fekete, Á.; Gopakumar, A.; Gražulis, S.; Merkys, A. et al.; Mohamed, F.; Oses, C.; Pizzi, G.; Rignanese, G.-M.; Scheidgen, M.; Talirz, L.; Toher, C.; Winston, D.; Aversa, R.; Choudhary, K.; Colinet, P.; Curtarolo, S.; Di Stefano, D.; Draxl, C.; Er, S.; Esters, M.; Fornari, M.; Giantomassi, M.; Govoni, M.; Hautier, G.; Hegde, V.; Horton, M. K.; Huck, P.; Huhs, G.; Hummelshøj, J.; Kariryaa, A.; Kozinsky, B.; Kumbhar, S.; Liu, M.; Marzari, N.; Morris, A. J.; Mostofi, A. A.; Persson, K. A.; Petretto, G.; Purcell, T.; Ricci, F.; Rose, F.; Scheffler, M.; Speckhard, D.; Uhrin, M.; Vaitkus, A.; Villars, P.; Waroquiers, D.; Wolverton, C.; Wu, M.; Yang, X.: OPTIMADE, an API for exchanging materials data. Scientific Data 8, 217 (2021)

Cautaerts, N.; Rauch, E. F.; Jeong, J.; Dehm, G.; Liebscher, C.: Investigation of the orientation relationship between nano-sized G-phase precipitates and austenite with scanning nano-beam electron diffraction using a pixelated detector. Scripta Materialia 201, 113930 (2021)

De Falco, P.; Weinkamer, R.; Wagermaier, W.; Li, C.; Snow, T.; Terrill, N. J.; Gupta, H. S.; Goyal, P.; Stoll, M.; Benner, P. et al.; Fratzl, P.: Tomographic X-ray scattering based on invariant reconstruction: analysis of the 3D nanostructure of bovine bone. Journal of Applied Crystallography 54 (2), pp. 486 - 497 (2021)

Dutta, A.; Vreeken, J.; Ghiringhelli, L. M.; Bereau, T.: Data-driven equation for drug-membrane permeability across drugs and membranes. The Journal of Chemical Physics 154 (24), 244114 (2021)

Evans, M. L.; Andersen, C. W.; Dwaraknath, S.; Scheidgen, M.; Fekete, Á.; Winston, D.: optimade-python-tools: a Python library for serving and consuming materials data via OPTIMADE APIs. The Journal of Open Source Software 6 (65), 3458 (2021)

Gault, B.; Klaes, B.; Morgado, F. F.; Freysoldt, C.; Li, Y.; De Geuser, F.; Stephenson, L.; Vurpillot, F.: Reflections on the Spatial Performance of Atom Probe Tomography in the Analysis of Atomic Neighborhoods. Microscopy and Microanalysis, pp. 1 - 11 (2021)

Krynski, M.; Rossi, M.: Efficient Gaussian Process Regression for prediction of molecular crystals harmonic free energies. npj Computational Materials 7, 169 (2021)

Kühbach, M. T.; Bajaj, P.; Zhao, H.; Çelik, M. H.; Jägle, E. A.; Gault, B.: On strong-scaling and open-source tools for analyzing atom probe tomography data. npj Computational Materials 7 (1), 21 (2021)

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)

Mianroodi, J. R.; Rezaei, S.; Hamidi Siboni, N.; Xu, B.-X.; Raabe, D.: Lossless Multi-Scale Constitutive Elastic Relations with Artificial Intelligence. Condensed Matter: Materials Science (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)