Zobrazeno 1 - 10
of 9 508
pro vyhledávání: '"Foerster P"'
Autor:
Rovirola, Marc, Khaliq, M. Waqas, Casals, Blai, Begué, Adrian, Biskup, Neven, Coton, Noelia, Hernàndez, Joan Manel, Niño, Miguel Angel, Foerster, Michael, Hernández-Mínguez, Alberto, Ranchal, Rocío, Costache, Marius V., García-Santiago, Antoni, Macià, Ferran
The interaction between surface acoustic waves and magnetization offers an efficient route for electrically controlling magnetic states. Here, we demonstrate the excitation of magnetoacoustic waves in galfenol, a highly magnetostrictive alloy made of
Externí odkaz:
http://arxiv.org/abs/2409.04370
Autor:
Förster, Henry, Klesen, Felix, Dwyer, Tim, Eades, Peter, Hong, Seok-Hee, Kobourov, Stephen G., Liotta, Giuseppe, Misue, Kazuo, Montecchiani, Fabrizio, Pastukhov, Alexander, Schreiber, Falk
Graph and network visualization supports exploration, analysis and communication of relational data arising in many domains: from biological and social networks, to transportation and powergrid systems. With the arrival of AI-based question-answering
Externí odkaz:
http://arxiv.org/abs/2409.02907
Human intelligence emerged through the process of natural selection and evolution on Earth. We investigate what it would take to re-create this process in silico. While past work has often focused on low-level processes (such as simulating physics or
Externí odkaz:
http://arxiv.org/abs/2409.00853
Autor:
Sturm, E., Davies, R., Alves, J., Clénet, Y., Kotilainen, J., Monna, A., Nicklas, H., Pott, J. -U., Tolstoy, E., Vulcani, B., Achren, J., Annadevara, S., Anwand-Heerwart, H., Arcidiacono, C., Barboza, S., Barl, L., Baudoz, P., Bender, R., Bezawada, N., Biondi, F., Bizenberger, P., Blin, A., Boné, A., Bonifacio, P., Borgo, B., Born, J. van den, Buey, T., Cao, Y., Chapron, F., Chauvin, G., Chemla, F., Cloiseau, K., Cohen, M., Collin, C., Czoske, O., Dette, J. -O., Deysenroth, M., Dijkstra, E., Dreizler, S., Dupuis, O., van Egmond, G., Eisenhauer, F., Elswijk, E., Emslander, A., Fabricius, M., Fasola, G., Ferreira, F., Schreiber, N. M. Förster, Fontana, A., Gaudemard, J., Gautherot, N., Gendron, E., Gennet, C., Genzel, R., Ghouchou, L., Gillessen, S., Gratadour, D., Grazian, A., Grupp, F., Guieu, S., Gullieuszik, M., de Haan, M., Hartke, J., Hartl, M., Haussmann, F., Helin, T., Hess, H. -J., Hofferbert, R., Huber, H., Huby, E., Huet, J. -M., Ives, D., Janssen, A., Jaufmann, P., Jilg, T., Jodlbauer, D., Jost, J., Kausch, W., Kellermann, H., Kerber, F., Kravcar, H., Kravchenko, K., Kulcsár, C., Kunkarayakti, H., Kunst, P., Kwast, S., Lang, F., Lange, J., Lapeyrere, V., Ruyet, B. Le, Leschinski, K., Locatelli, H., Massari, D., Mattila, S., Mei, S., Merlin, F., Meyer, E., Michel, C., Mohr, L., Montargès, M., Müller, F., Münch, N., Navarro, R., Neumann, U., Neumayer, N., Neumeier, L., Pedichini, F., Pflüger, A., Piazzesi, R., Pinard, L., Porras, J., Portaluri, E., Przybilla, N., Rabien, S., Raffard, J., Raggazoni, R., Ramlau, R., Ramos, J., Ramsay, S., Raynaud, H. -F., Rhode, P., Richter, A., Rix, H. -W., Rodenhuis, M., Rohloff, R. -R., Romp, R., Rousselot, P., Sabha, N., Sassolas, B., Schlichter, J., Schuil, M., Schweitzer, M., Seemann, U., Sevin, A., Simioni, M., Spallek, L., Sönmez, A., Suuronen, J., Taburet, S., Thomas, J., Tisserand, E., Vaccari, P., Valenti, E., Kleijn, G. Verdoes, Verdugo, M., Vidal, F., Wagner, R., Wegner, M., van Winden, D., Witschel, J., Zanella, A., Zeilinger, W., Ziegleder, J., Ziegler, B.
MICADO is a first light instrument for the Extremely Large Telescope (ELT), set to start operating later this decade. It will provide diffraction limited imaging, astrometry, high contrast imaging, and long slit spectroscopy at near-infrared waveleng
Externí odkaz:
http://arxiv.org/abs/2408.16396
Autor:
Rutherford, Alexander, Beukman, Michael, Willi, Timon, Lacerda, Bruno, Hawes, Nick, Foerster, Jakob
What data or environments to use for training to improve downstream performance is a longstanding and very topical question in reinforcement learning. In particular, Unsupervised Environment Design (UED) methods have gained recent attention as their
Externí odkaz:
http://arxiv.org/abs/2408.15099
We show that every planar graph has a monotone topological 2-page book embedding where at most (4n-10)/5 (of potentially 3n-6) edges cross the spine, and every edge crosses the spine at most once; such an edge is called a biarc. We can also guarantee
Externí odkaz:
http://arxiv.org/abs/2408.14299
Autor:
Korniienko, Anastasiia, Wartelle, Alexis, Kronseder, Matthias, Zeller, Viola, Foerster, Michael, Niño, Miguel Ángel, Ruiz-Gomes, Sandra, Khaliq, Muhammad Waqas, Weigand, Markus, Wintz, Sebastian, Back, Christian H.
We present a study on the static magnetic properties of individual $\text{GaAs}$-$\text{Fe}_{\text{33}}\text{Co}_{\text{67}}$ core-shell nanorods. X-ray Magnetic Circular Dichroism combined with Photoemission Electron Microscopy (XMCD-PEEM) and Scann
Externí odkaz:
http://arxiv.org/abs/2408.15036
Analytical results on the correlation functions of strongly correlated many-body systems are rare in the literature and their importance cannot be overstated. We present determinant representations for the space-, time-, and temperature-dependent cor
Externí odkaz:
http://arxiv.org/abs/2408.09721
Autor:
Zhang, Qizhen, Gritsch, Nikolas, Gnaneshwar, Dwaraknath, Guo, Simon, Cairuz, David, Venkitesh, Bharat, Foerster, Jakob, Blunsom, Phil, Ruder, Sebastian, Ustun, Ahmet, Locatelli, Acyr
The Mixture of Experts (MoE) framework has become a popular architecture for large language models due to its superior performance over dense models. However, training MoEs from scratch in a large-scale regime is prohibitively expensive. Existing met
Externí odkaz:
http://arxiv.org/abs/2408.08274
One of the grand challenges of artificial general intelligence is developing agents capable of conducting scientific research and discovering new knowledge. While frontier models have already been used as aides to human scientists, e.g. for brainstor
Externí odkaz:
http://arxiv.org/abs/2408.06292