2023
W. Zhou, F. Zeng, J. Malzbender, H. Schlenz, W. Deibert, D. Sergeev, I. Povstugar, R. Schwaiger, A. Nijmeijer, M. Müller, W.A. Meulenberg, Promoting densification and grain growth of BaCe0.65Zr0.2Y0.15O3-δ, Materials & Design (2023), submitted for publication.
P. Agharezaei, N.G. Tomohiro, H. Kobayashi, H. Schlenz, Y. Miho, K.K. Ghuman, Activating N2 on CuNi Alloy Catalyst, Journal of the American Chemical Society (2023), submitted for publication.
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