Publications

Wautischer, G, Abert, C, Bruckner, F, Slanovc, F & Suess, D 2022, 'Topology optimization of a heat-assisted magnetic recording write head to reduce transition curvature using a binary optimization algorithm utilizing the adjoint method', Scientific Reports, vol. 12, no. 1, 13986. https://doi.org/10.1038/s41598-022-18112-z

Kaiser, M & Kantorovich, SS 2022, 'The importance of being a cube: Active cubes in a microchannel', Journal of Molecular Liquids, vol. 360, 119318. https://doi.org/10.1016/j.molliq.2022.119318

Mostarac, D & Kantorovich, SS 2022, 'Rheology of a Nanopolymer Synthesized through Directional Assembly of DNA Nanochambers, for Magnetic Applications', Macromolecules, vol. 55, no. 15, pp. 6462–6473. https://doi.org/10.1021/acs.macromol.2c00738

Deussner, S, Süss, D, Abert, C, Bruckner, F, Fähler, S, Heistracher, P, Reichel, L & Neu, V 2022, 'Rigorous single-period micromagnetic model of stripe domains: Comparison with analytics and experiment', Physical Review B, vol. 106, no. 6, 064404. https://doi.org/10.1103/PhysRevB.106.064404

Abert, C, Koraltan, S, Bruckner, F, Slanovc, F, Besler, J, Omelchenko, P, Girt, E & Suess, D 2022, 'Origin of noncollinear magnetization coupling across RuX layers', Physical Review B, vol. 106, no. 5, 054401. https://doi.org/10.1103/PhysRevB.106.054401

Kuznetsov, AA, Novak, E, Pyanzina, ES & Kantorovich, SS 2022, 'Structural and magnetic equilibrium properties of a semi-dilute suspension of magnetic multicore nanoparticles', Journal of Molecular Liquids, vol. 359, 119373. https://doi.org/10.1016/j.molliq.2022.119373

Gattringer, M, Abert, C, Bruckner, F, Chumak, A & Suess, D 2022, 'Micromagnetically integrated numerical model of spin pumping based on spin diffusion', Physical Review B, vol. 106, no. 2, 024417. https://doi.org/10.1103/PhysRevB.106.024417

Skoric, L, Donnelly, C, Hierro-Rodriguez, A, Cascales Sandoval, MA, Ruiz-Gómez, S, Foerster, M, Niño, MA, Belkhou, R, Abert, C, Suess, D & Fernández-Pacheco, A 2022, 'Domain Wall Automotion in Three-Dimensional Magnetic Helical Interconnectors', ACS Nano, vol. 16, no. 6, pp. 8860–8868. https://doi.org/10.1021/acsnano.1c10345

Mostarac, D, Xiong, Y, Gang, O & Kantorovich, S 2022, 'Nanopolymers for magnetic applications: how to choose the architecture?', Nanoscale, vol. 14, no. 31, pp. 11139-11151. https://doi.org/10.1039/d2nr01502a

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

Trost, COW, Zak, S, Schaffer, S, Saringer, C, Exl, L & Cordill, MJ 2022, 'Bridging Fidelities to Predict Nanoindentation Tip Radii Using Interpretable Deep Learning Models', JOM, vol. 74, no. 6, pp. 2195-2205. https://doi.org/10.1007/s11837-022-05233-z

Novak, EV, Pyanzina, ES, Gupalo, MA, Mauser, NJ & Kantorovich, SS 2022, 'Structural transitions and magnetic response of supramolecular magnetic polymerlike structures with bidisperse monomers', Physical Review E, vol. 105, no. 5, 054601. https://doi.org/10.1103/PhysRevE.105.054601

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

Heistracher, P, Abert, C, Bruckner, F, Schrefl, T & Suess, D 2022, 'Proposal for a micromagnetic standard problem: Domain wall pinning at phase boundaries', Journal of Magnetism and Magnetic Materials, vol. 548, 168875. https://doi.org/10.1016/j.jmmm.2021.168875

Flauger, P, Abert, C & Suess, D 2022, 'Efficient solution strategy to couple micromagnetic simulations with ballistic transport in magnetic tunnel junctions', Physical Review B, vol. 105, no. 13, 134407. https://doi.org/10.1103/PhysRevB.105.134407

Suess, D, Slanovc, F & Ausserlechner, U 2022, 'Comment to the paper “A new Hall-effect enabled voltage amplifier device based on magnetic and thermal properties of materials”', Journal of Magnetism and Magnetic Materials, vol. 547, 168942. https://doi.org/10.1016/j.jmmm.2021.168942

Perna, S, Bruckner, F, Serpico, CS, Suess, D & d'Aquino, M 2022, 'Computational micromagnetics based on normal modes: Bridging the gap between macrospin and full spatial discretization', Journal of Magnetism and Magnetic Materials, vol. 546, 168683. https://doi.org/10.1016/j.jmmm.2021.168683

Perna, S, Bruckner, F, Serpico, C, Suess, D & D'Aquino, M 2022, 'Normal modes description of nonlinear ferromagnetic resonance for magnetic nanodots', AIP Advances, vol. 12, no. 3, 035244. https://doi.org/10.1063/9.0000327

Schaffer, S, Mauser, NJ, Schrefl, T, Suess, D & Exl, L 2022, 'Machine learning methods for the prediction of micromagnetic magnetization dynamics', IEEE Transactions on Magnetics, vol. 58, no. 2, 7100506. https://doi.org/10.1109/TMAG.2021.3095251