Publications


Chumak, AV, Kabos, P, Wu, M, Abert, C, Adelmann, C, Adeyeye, AO, Åkerman, J, Aliev, FG, Anane, A, Awad, A, Back, CH, Barman, A, Bauer, GEW, Becherer, M, Beginin, EN, Bittencourt, VASV, Blanter, YM, Bortolotti, P, Boventer, I, Bozhko, DA, Bunyaev, SA, Carmiggelt, JJ, Cheenikundil, RR, Ciubotaru, F, Cotofana, S, Csaba, G, Dobrovolskiy, OV, Dubs, C, Elyasi, M, Fripp, KG, Fulara, H, Golovchanskiy, IA, Gonzalez-Ballestero, C, Graczyk, P, Grundler, D, Gruszecki, P, Gubbiotti, G, Guslienko, K, Haldar, A, Hamdioui, S, Hertel, R, Hillebrands, B, Hioki, T, Houshang, A, Hu, C-M, Huebl, H, Huth, M, Iacocca, E, Jungfleisch, MB, Kakazei, GN, Khitun, A, Khymyn, R, Kikkawa, T, Kläui, M, Klein, O, Kłos, JW, Knauer, S, Koraltan, S, Kostylev, M, Krawczyk, M, Krivorotov, IN, Kruglyak, VV, Lachance-Quirion, D, Ladak, S, Lebrun, R, Li, Y, Lindner, M, Macêdo, R, Mayr, S, Melkov, GA, Mieszczak, S, Nakamura, Y, Nembach, HT, Nikitin, AA, Nikitov, SA, Novosad, V, Otálora, JA, Otani, Y, Papp, A, Pigeau, B, Pirro, P, Porod, W, Porrati, F, Qin, H, Rana, B, Reimann, T, Riente, F, Romero-Isart, O, Ross, A, Sadovnikov, AV, Safin, AR, Saitoh, E, Schmidt, G, Schultheiss, H, Schultheiss, K, Serga, AA, Sharma, S, Shaw, JM, Suess, D, Surzhenko, O, Szulc, K, Taniguchi, T, Urbánek, M, Usami, K, Ustinov, AB, van der Sar, T, van Dijken, S, Vasyuchka, VI, Verba, R, Kusminskiy, SV, Wang, Q, Weides, M, Weiler, M, Wintz, S, Wolski, SP & Zhang, X 2022, 'Advances in Magnetics Roadmap on Spin-Wave Computing', IEEE Transactions on Magnetics, vol. 58, no. 6, 0800172, pp. 1-72. https://doi.org/10.1109/TMAG.2022.3149664

Kovacs, A, Exl, L, Kornell, A, Fischbacher, J, Hovorka, M, Gusenbauer, M, Breth, L, Oezelt, H, Praetorius, D, Suess, D & Schrefl, T 2022, 'Magnetostatics and micromagnetics with physics informed neural networks', Journal of Magnetism and Magnetic Materials, vol. 548, 168951. https://doi.org/10.1016/j.jmmm.2021.168951

Kovacs, A, Exl, L, Kornell, A, Fischbacher, J, Hovorka, M, Gusenbauer, M, Breth, L, Oezelt, H, Yano, M, Sakuma, N, Kinoshita, A, Shoji, T, Kato, A & Schrefl, T 2022 'Exploring the hysteresis properties of nanocrystalline permanent magnets using deep learning'. <http://adsabs.harvard.edu/abs/2022arXiv220316676K>

Donnelly, C, Hierro-Rodriguez, A, Abert, C, Witte, K, Skoric, L, Sanz-Hernandez, D, Finizio, S, Meng, F, McVitie, S, Raabe, J, Suess, D, Cowburn, R & Fernandez-Pacheco, A 2022, 'Complex free-space magnetic field textures induced by three-dimensional magnetic nanostructures', Nature Nanotechnology, vol. 17, no. 2, pp. 136–142. https://doi.org/10.1038/s41565-021-01027-7

Kovacs, A, Exl, L, Kornell, A, Fischbacher, J, Hovorka, M, Gusenbauer, M, Breth, L, Oezelt, H, Yano, M, Sakuma, N, Kinoshita, A, Shoji, T, Kato, A & Schrefl, T 2022, 'Conditional physics informed neural networks', Communications in Nonlinear Science and Numerical Simulation, vol. 104, 106041. https://doi.org/10.1016/j.cnsns.2021.106041

Xiong, Y, Lin, Z, Mostarac, D, Minevich, B, Peng, Q, Zhu, G, Sánchez, PA, Kantorovich, S, Ke, Y & Gang, O 2021, 'Divalent Multilinking Bonds Control Growth and Morphology of Nanopolymers', Nano Letters, vol. 21, no. 24, pp. 10547-10554. https://doi.org/10.1021/acs.nanolett.1c03009

Stolbov, OV, Sánchez, PA, Kantorovich, SS & Raikher, YL 2021, Magnetostriction in elastomers with mixtures of magnetically hard and soft microparticles: Effects of nonlinear magnetization and matrix rigidity. in S Odenbach (ed.), Magnetic Hybrid-Materials: Multi-scale Modelling, Synthesis, and Applications. De Gruyter, Berlin ; Boston, pp. 459-480. https://doi.org/10.1515/9783110569636-019