Zobrazeno 1 - 10
of 3 491
pro vyhledávání: '"A Rodriguez Fernández"'
Autor:
Girelli, Anita, Bin, Maddalena, Filianina, Mariia, Dargasz, Michelle, Anthuparambil, Nimmi Das, Möller, Johannes, Zozulya, Alexey, Andronis, Iason, Timmermann, Sonja, Berkowicz, Sharon, Retzbach, Sebastian, Reiser, Mario, Raza, Agha Mohammad, Kowalski, Marvin, Akhundzadeh, Mohammad Sayed, Schrage, Jenny, Woo, Chang Hee, Senft, Maximilian D., Reichart, Lara Franziska, Leonau, Aliaksandr, Rajaiah, Prince Prabhu, Chèvremont, William, Seydel, Tilo, Hallmann, Jörg, Rodriguez-Fernandez, Angel, Pudell, Jan-Etienne, Brausse, Felix, Boesenberg, Ulrike, Wrigley, James, Youssef, Mohamed, Lu, Wei, Jo, Wonhyuk, Shayduk, Roman, Madsen, Anders, Lehmkühler, Felix, Paulus, Michael, Zhang, Fajun, Schreiber, Frank, Gutt, Christian, Perakis, Fivos
Understanding protein motion within the cell is crucial for predicting reaction rates and macromolecular transport in the cytoplasm. A key question is how crowded environments affect protein dynamics through hydrodynamic and direct interactions at mo
Externí odkaz:
http://arxiv.org/abs/2410.08873
Autor:
Mathihalli, Nidhi, Wei, Audrey, Lavezzi, Giovanni, Siew, Peng Mun, Rodriguez-Fernandez, Victor, Urrutxua, Hodei, Linares, Richard
Novel view synthesis (NVS) enables to generate new images of a scene or convert a set of 2D images into a comprehensive 3D model. In the context of Space Domain Awareness, since space is becoming increasingly congested, NVS can accurately map space o
Externí odkaz:
http://arxiv.org/abs/2410.05097
Autor:
Wilson, H. S., Nelson, A. O., McClenaghan, J., Rodriguez-Fernandez, P., Parisi, J., Paz-Soldan, C.
NT experiments have demonstrated core performance on par with positive triangularity (PT) H-mode without edge-localized modes (ELMs), encouraging further study of an NT reactor core. In this work, we use integrated modeling to scope the operating spa
Externí odkaz:
http://arxiv.org/abs/2409.03038
Recent trends are emerging in the use of Large Language Models (LLMs) as autonomous agents that take actions based on the content of the user text prompt. This study explores the use of fine-tuned Large Language Models (LLMs) for autonomous spacecraf
Externí odkaz:
http://arxiv.org/abs/2408.08676
Visual analytics is essential for studying large time series due to its ability to reveal trends, anomalies, and insights. DeepVATS is a tool that merges Deep Learning (Deep) with Visual Analytics (VA) for the analysis of large time series data (TS).
Externí odkaz:
http://arxiv.org/abs/2408.04692
Autor:
Gil, Alvaro Francisco, Litteri, Walther, Rodriguez-Fernandez, Victor, Camacho, David, Vasile, Massimiliano
Publikováno v:
Proceedings of SPAICE 2024, pp. 430-436
The Three-Body Problem has fascinated scientists for centuries and it has been crucial in the design of modern space missions. Recent developments in Generative Artificial Intelligence hold transformative promise for addressing this longstanding prob
Externí odkaz:
http://arxiv.org/abs/2408.03691
The rates of flavor-changing weak processes are crucial in determining the conditions of beta equilibrium in neutron stars and mergers, influencing the damping of oscillations, the stability of rotating pulsars, and the emission of gravitational wave
Externí odkaz:
http://arxiv.org/abs/2407.21643
Autor:
Sanchez-Hurtado, Sergio, Rodriguez-Fernandez, Victor, Briden, Julia, Siew, Peng Mun, Linares, Richard
In this work, we develop a comprehensive framework for F10.7, S10.7, M10.7, and Y10.7 solar driver forecasting with a time series Transformer (PatchTST). To ensure an equal representation of high and low levels of solar activity, we construct a custo
Externí odkaz:
http://arxiv.org/abs/2406.15847
Autor:
Appel, Christian, Schmeltz, Margaux, Rodriguez-Fernandez, Irene, Anschuetz, Lukas, Nielsen, Leonard C., Panepucci, Ezequiel, Marijolovic, Tomislav, Wakonig, Klaus, Ivanovic, Aleksandra, Bonnin, Anne, Leonarski, Filip, Wojdyla, Justyna, Tomizaki, Takashi, Guizar-Sicairos, Manuel, Smith, Kate, Beale, John H., Glettig, Wayne, McAuley, Katherine, Bunk, Oliver, Wang, Meitian, Liebi, Marianne
Small Angle-X-ray Scattering Tensor Tomography (SAS-TT) is a relatively new, but powerful technique for studying the multiscale architecture of hierarchical structures, which is of particular interest for life science applications. Currently, the tec
Externí odkaz:
http://arxiv.org/abs/2406.13238
Autor:
MANTA Collaboration, Rutherford, G., Wilson, H. S., Saltzman, A., Arnold, D., Ball, J. L., Benjamin, S., Bielajew, R., de Boucaud, N., Calvo-Carrera, M., Chandra, R., Choudhury, H., Cummings, C., Corsaro, L., DaSilva, N., Diab, R., Devitre, A. R., Ferry, S., Frank, S. J., Hansen, C. J., Jerkins, J., Johnson, J. D., Lunia, P., van de Lindt, J., Mackie, S., Maris, A. D., Mandell, N. R., Miller, M. A., Mouratidis, T., Nelson, A. O., Pharr, M., Peterson, E. E., Rodriguez-Fernandez, P., Segantin, S., Tobin, M., Velberg, A., Wang, A. M., Wigram, M., Witham, J., Paz-Soldan, C., Whyte, D. G.
The MANTA (Modular Adjustable Negative Triangularity ARC-class) design study investigated how negative-triangularity (NT) may be leveraged in a compact, fusion pilot plant (FPP) to take a ``power-handling first" approach. The result is a pulsed, radi
Externí odkaz:
http://arxiv.org/abs/2405.20243