Journal Article (100)

2019
Journal Article
Kühbach, M.; Breen, A. J.; Herbig, M.; Gault, B.: Building a Library of Simulated Atom Probe Data for Different Crystal Structures and Tip Orientations Using TAPSim. Microscopy and Microanalysis 25 (2), pp. 320 - 330 (2019)
Journal Article
Lenz, M.-O.; Purcell, T.; Hicks, D.; Curtarolo, S.; Scheffler, M.; Carbogno, C.: Parametrically constrained geometry relaxations for high-throughput materials science. npj Computational Materials 5, 123 (2019)
Journal Article
Lysogorskiy, Y.; Hammerschmidt, T.; Janßen, J.; Neugebauer, J.; Drautz, R.: Transferability of interatomic potentials for molybdenum and silicon. Modelling and Simulation in Materials Science and Engineering 27 (2), 025007 (2019)
Journal Article
Ouyang, R.; Ahmetcik, E.; Carbogno, C.; Scheffler, M.; Ghiringhelli, L. M.: Simultaneous learning of several materials properties from incomplete databases with multi-task SISSO. JPhys Materials 2 (2), 024002 (2019)
Journal Article
Pandey, P.; Sawant, A. K.; Nithin, B.; Peng, Z.; Makineni, S. K.; Gault, B.; Chattopadhyay, K.: On the effect of Re addition on microstructural evolution of a CoNi-based superalloy. Acta Materialia 168, pp. 37 - 51 (2019)
Journal Article
Peng, Z.; Lu, Y.; Hatzoglou, C.; Kwiatkowski da Silva, A.; Vurpillot, F.; Ponge, D.; Raabe, D.; Gault, B.: An Automated Computational Approach for Complete In-Plane Compositional Interface Analysis by Atom Probe Tomography. Microscopy and Microanalysis 25 (2), pp. 389 - 400 (2019)
Journal Article
Peng, Z.; Zanuttini, D.; Gervais, B.; Jacquet, E.; Blum, I.; Choi, P.-P.; Raabe, D.; Vurpillot, F.; Gault, B.: Unraveling the Metastability of Cn2+ (n = 2-4) Clusters. The Journal of Physical Chemistry Letters 10 (3), pp. 581 - 588 (2019)
Journal Article
Raimbault, N.; Grisafi, A.; Ceriotti, M.; Rossi, M.: Using Gaussian Process Regression to Simulate the Vibrational Raman Spectra of Molecular Crystals. New Journal of Physics 21 (10), 105001 (2019)
Journal Article
Schilling, C.; Mack, T.; Lickfett, S.; Sieste, S.; Ruggeri, F. S.; Šneideris, T.; Dutta, A.; Bereau, T.; Naraghi, R.; Sinske, D. et al.; Knowles, T. P. J.; Synatschke, C. V.; Weil, T.; Knöll, B.: Sequence-Optimized Peptide Nanofibers as Growth Stimulators for Regeneration of Peripheral Neurons. Advanced Functional Materials 29 (24), 1809112 (2019)
Journal Article
Stimper, V.; Bauer, S.; Ernstorfer, R.; Schölkopf, B.; Xian, R. P.: Multidimensional Contrast Limited Adaptive Histogram Equalization. IEEE Access 7, pp. 165437 - 165447 (2019)
Journal Article
Wei, Y.; Peng, Z.; Kühbach, M.; Breen, A. J.; Legros, M.; Larranaga, M.; Mompiou, F.; Gault, B.: 3D nanostructural characterisation of grain boundaries in atom probe data utilising machine learning methods. PLoS One 14 (11), e0225041 (2019)
Journal Article
Xian, R. P.; Rettig, L.; Ernstorfer, R.: Symmetry-guided nonrigid registration: The case for distortion correction in multidimensional photoemission spectroscopy. Ultramicroscopy 202, pp. 133 - 139 (2019)
Journal Article
Zheng, F.; Gao, X.; Eisfeld, A.: Excitonic Wave Function Reconstruction from Near-Field Spectra Using Machine Learning Techniques. Physical Review Letters 123 (16), 163202 (2019)
2018
Journal Article
Bentley, C.; Eisfeld, A.: Gaussian processes for choosing laser parameters for driven, dissipative Rydberg aggregates. Journal of Physics B 51 (20), 205003 (2018)
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Budhathoki, K.; Vreeken, J.: Origo: Causal Inference by Compression. Knowledge and Information Systems 56 (2), pp. 285 - 307 (2018)
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Draxl, C.; Scheffler, M.: NOMAD: The FAIR concept for big data-driven materials science. MRS Bulletin 43 (9), pp. 676 - 682 (2018)
Journal Article
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)
Journal Article
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)
Journal Article
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)
Journal Article
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)
Journal Article
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)
Journal Article
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)
Journal Article
Ziletti, A.; Kumar, D.; Scheffler, M.; Ghiringhelli, L. M.: Insightful classification of crystal structures using deep learning. Nature Communications 9, 2775 (2018)
2017
Journal Article
Boley, M.; Goldsmith, B.; Ghiringhelli, L. M.; Vreeken, J.: Identifying Consistent Statements about Numerical Data with Dispersion-Corrected Subgroup Discovery. Data Mining and Knowledge Discovery 31 (5), pp. 1391 - 1418 (2017)
Journal Article
Goldsmith, B.; Boley, M.; Vreeken, J.; Scheffler, M.; Ghiringhelli, L. M.: Uncovering structure-property relationships of materials by subgroup discovery. New Journal of Physics 19 (1), 013031 (2017)
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