2024
H. Schlenz, O. Guillon, Machine Learning for the complete Prediction of Elastic Properties of Cubic Oxide Perovskite, Journal of Alloys and Compounds (2024) submitted.
P. Agharezaei, N.G. Tomohiro, H. Kobayashi, H. Schlenz, Y. Miho, K.K. Ghuman, Unraveling the Enhanced N2 Activity on CuNi Alloy Catalysts for Ammonia Production: Experiments, DFT, and Statistical Analysis, J. Phys. Chem. C128 (2024) 3703-3717.
2023
W. Zhou, F. Zeng, J. Malzbender, H. Schlenz, W. Deibert, D. Sergeev, I. Povstugar, R. Schwaiger, A. Nijmeijer, M. Müller, O. Guillon, W.A. Meulenberg, Promoting densification and grain growth of BaCe0.65Zr0.2Y0.15O3-δ, Journal of materials research and technology 27 (2023) 3531-3538.
2022
J. Leys, Y. Ji, M. Klinkenberg, P. Kowalski, H. Schlenz, S. Neumeier, D. Bosbach, G. Deissmann, Monazite-type SmPO4 as potential nuclear waste form: Insights into radiation effects from ion-beam irradiation and atomistic simulations, Materials 15 (2022) 3434, https://doi.org/10.3390/ma15103434
T. Bronger, M. Flemming, H. Schlenz, M. Selzer, SciMesh: RDF graphs for scientific knowlege, Zenodo(2022), DOI: 10.5281/zenodo.5878990
H. Schlenz, S. Sandfeld, Applications of Machine Learning to the Study of Crystalline Materials, Crystals 12(2022) 1070, https://doi.org/10.3390/cryst12081070
H. Schlenz, S. Baumann, W.A. Meulenberg, O. Guillon, The Development of New Perovskite-Type Oxygen Transport Membranes Using Machine Learning, Crystals 12 (2022)947, https://doi.org/10.3390/cryst12070947
B. Nestler, P.F. Pelz, R.H. Schmitt, M. Berger, H. Dierend, B. Farnbacher, B. Flemisch, D. Gläser, I. Heine, N. Hoppe, G. Jagusch, R. Lachmayer, J. Lemmer, J. Linxweiler, A.I. Metzmacher, I. Mozgova, N. Preuß, M. Richter, S. Roski, H. Schlenz, M. Selzer, C. Stemmer, Nationale Forschungsdateninfrastruktur für die Ingenieurwissenschaften (NFDI4Ing), Publiziert in: Vincent Heuveline, Nina Bisheh (Hg.): E-Science-Tage 2021, Share Your Research Data. Heidelberg: heiBOOKS, 2022, https://doi.org/10.11588/heibooks.979.c13739