Zobrazeno 1 - 10
of 8 320
pro vyhledávání: '"Stamm, P"'
Autor:
Lojewski, Tobias, Guyader, Loïc Le, Agarwal, Naman, Boeglin, Christine, Carley, Robert, Castoldi, Andrea, Deiter, Carsten, Engel, Robin Y., Erdinger, Florian, Fangohr, Hans, Fiorini, Carlo, Gerasimova, Natalia, Gort, Rafael, de Groot, Frank, Hansen, Karsten, Hauf, Steffen, Hickin, David, Izquierdo, Manuel, Kämmerer, Lea, Van Kuiken, Benjamin E., Lomidze, David, Maffessanti, Stefano, Mercadier, Laurent, Mercurio, Giuseppe, Miedema, Piter S., Pace, Matthias, Porro, Matteo, Rezvani, Javad, Rothenbach, Nico, Rösner, Benedikt, Samartsev, Andrey, Schlappa, Justina, Stamm, Christian, Teichmann, Martin, Turcato, Monica, Yaroslavtsev, Alexander, Döring, Florian, Scherz, Andreas, David, Christian, Beye, Martin, Bovensiepen, Uwe, Wende, Heiko, Eschenlohr, Andrea, Ollefs, Katharina
Time-resolved X-ray absorption spectroscopy (tr-XAS) has been shown to be a versatile measurement technique for investigating non-equilibrium dynamics. Novel X-ray free electron laser (XFEL) facilities like the European XFEL offer increased repetitio
Externí odkaz:
http://arxiv.org/abs/2412.05151
Autor:
Cheng, YingXing, Stamm, Benjamin
In this work, we introduce several approximations of the Iterative Stockholder Analysis (ISA) method based on exponential basis functions. These approximations are categorized into linear and non-linear models, referred to as LISA and NLIS, respectiv
Externí odkaz:
http://arxiv.org/abs/2412.05079
Multiple sclerosis (MS) is the leading cause of severe non-traumatic disability in young adults and its incidence is increasing worldwide. The variability of gait impairment in MS necessitates the development of a non-invasive, sensitive, and cost-ef
Externí odkaz:
http://arxiv.org/abs/2411.10377
This research presents FDASynthesis, a novel algorithm designed to generate synthetic GPS trajectory data while preserving privacy. After pre-processing the input GPS data, human mobility traces are modeled as multidimensional curves using Functional
Externí odkaz:
http://arxiv.org/abs/2410.12514
Autor:
Bordignon, Andrea, Dusson, Geneviève, Cancès, Éric, Kemlin, Gaspard, Reyes, Rafael Antonio Lainez, Stamm, Benjamin
In this article, we derive fully guaranteed error bounds for the energy of convex nonlinear mean-field models. These results apply in particular to Kohn-Sham equations with convex density functionals, which includes the reduced Hartree-Fock (rHF) mod
Externí odkaz:
http://arxiv.org/abs/2409.11769
Autor:
Garrigue, Louis, Stamm, Benjamin
We study eigenvalue problems and their approximation obtained by subspace projection, as in the reduced basis method. We provide bounds on the error between the exact eigenmodes and the approximated ones. Self-adjoint operators and degenerate cases a
Externí odkaz:
http://arxiv.org/abs/2408.11924
Autor:
Zamudio, Eladio Prieto, Das, Rituparna, Katturi, Naga Krishnakanth, Stamm, Jacob, Sandhu, Jesse, Kwon, Sung, Minasian, Matthew, Dantus, Marcos
Electron-initiated chemistry with chemically relevant electron energies (10-200 eV) is at the heart of several high-energy processes and phenomena. To probe these dissociation and fragmentation reactions with femtosecond resolution requires the use o
Externí odkaz:
http://arxiv.org/abs/2408.10423
In this study, we analyze various Iterative Stockholder Analysis (ISA) methods for molecular density partitioning, focusing on the numerical performance of the recently proposed Linear approximation of Iterative Stockholder Analysis model (LISA) [J.
Externí odkaz:
http://arxiv.org/abs/2405.08455
Recent advances in generative AI have led to the development of techniques to generate visually realistic synthetic video. While a number of techniques have been developed to detect AI-generated synthetic images, in this paper we show that synthetic
Externí odkaz:
http://arxiv.org/abs/2404.15955
As generative AI progresses rapidly, new synthetic image generators continue to emerge at a swift pace. Traditional detection methods face two main challenges in adapting to these generators: the forensic traces of synthetic images from new technique
Externí odkaz:
http://arxiv.org/abs/2404.08814