Bentley, C.; Eisfeld, A.: Gaussian processes for choosing laser parameters for driven, dissipative Rydberg aggregates. Journal of Physics B 51 (20), 205003 (2018)

Budhathoki, K.; Vreeken, J.: Origo: Causal Inference by Compression. Knowledge and Information Systems 56 (2), pp. 285 - 307 (2018)

Draxl, C.; Scheffler, M.: NOMAD: The FAIR concept for big data-driven materials science. MRS Bulletin 43 (9), pp. 676 - 682 (2018)

Katnagallu, S.; Gault, B.; Grabowski, B.; Neugebauer, J.; Raabe, D.; Nematollahi, G. A.: Advanced data mining in field ion microscopy. Materials Characterization 146, pp. 307 - 318 (2018)

Kwiatkowski da Silva, A.; Ponge, D.; Peng, Z.; Inden, G.; Lu, Y.; Breen, A. J.; Gault, B.; Raabe, D.: Phase nucleation through confined spinodal fluctuations at crystal defects evidenced in Fe–Mn alloys. Nature Communications 9 (1), 1137 (2018)

Ouyang, R.; Curtarolo, S.; Ahmetcik, E.; Scheffler, M.; Ghiringhelli, L. M.: SISSO: a compressed-sensing method for identifying the best low-dimensional descriptor in an immensity of offered candidates. Physical Review Materials 2 (08), 083802 (2018)

Peng, Z.; Vurpillot, F.; Choi, P.-P.; Li, Y.; Raabe, D.; Gault, B.: On the detection of multiple events in atom probe tomography. Ultramicroscopy 189, pp. 54 - 60 (2018)

Shang, H.; Raimbault, N.; Rinke, P.; Scheffler, M.; Rossi, M.; Carbogno, C.: All-electron, real-space perturbation theory for homogeneous electric fields: theory, implementation, and application within DFT. New Journal of Physics 20 (7), 073040 (2018)

Wei, Y.; Gault, B.; Varanasi, R. S.; Raabe, D.; Herbig, M.; Breen, A. J.: Machine-learning-based atom probe crystallographic analysis. Ultramicroscopy 194, pp. 15 - 24 (2018)

Ziletti, A.; Kumar, D.; Scheffler, M.; Ghiringhelli, L. M.: Insightful classification of crystal structures using deep learning. Nature Communications 9, 2775 (2018)

Budhathoki, K.; Boley, M.; Vreeken, J.: Rule Discovery for Exploratory Causal Reasoning. In: Proceedings of the NeurIPS 2018 workshop on Causal Learning, 14. NeurIPS 2018 Workshop on Causal Learning, Montréal, Canada, December 07, 2018. (2018)

Budhathoki, K.; Vreeken, J.: Accurate Causal Inference on Discrete Data. In: IEEE International Conference on Data Mining, pp. 881 - 886. IEEE International Conference on Data Mining, Singapore, Singapore, November 17, 2018 - November 20, 2018. IEEE, Piscataway, NJ (2018)

Mandros, P.; Boley, M.; Vreeken, J.: Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms. In: IEEE International Conference on Data Mining, pp. 317 - 326. IEEE International Conference on Data Mining, Singapore, Singapore, November 17, 2018 - November 20, 2018. IEEE, Piscataway, NJ (2018)