Zobrazeno 1 - 10
of 9 713
pro vyhledávání: '"P, Fries"'
This work focuses on model preparation for electrostatic simulations of CAD designs to realize a rapid virtual prototyping concept. We present a boundary element method (BEM) allowing discontinuous fields between surfaces. The corresponding edges of
Externí odkaz:
http://arxiv.org/abs/2412.09136
Inequalities between Dirichlet and Neumann eigenvalues of the Laplacian and of other differential operators have been intensively studied in the past decades. The aim of this paper is to introduce differential forms and the de Rham complex in the stu
Externí odkaz:
http://arxiv.org/abs/2412.03369
Autor:
Fries, Jacques, Diaz, Javier, Jardat, Marie, Pagonabarraga, Ignacio, Illien, Pierre, Dahirel, Vincent
The formation of condensates is now considered as a major organization principle of eukaryotic cells. Several studies have recently shown that the properties of these condensates are affected by enzymatic reactions. We propose here a simple generic m
Externí odkaz:
http://arxiv.org/abs/2411.11696
Autor:
Huo, Zepeng, Fries, Jason Alan, Lozano, Alejandro, Valanarasu, Jeya Maria Jose, Steinberg, Ethan, Blankemeier, Louis, Chaudhari, Akshay S., Langlotz, Curtis, Shah, Nigam H.
With the rise of medical foundation models and the growing availability of imaging data, scalable pretraining techniques offer a promising way to identify imaging biomarkers predictive of future disease risk. While current self-supervised methods for
Externí odkaz:
http://arxiv.org/abs/2411.09361
Autor:
Bošnjak, Domagoj, Schussnig, Richard, Ranftl, Sascha, Holzapfel, Gerhard A., Fries, Thomas-Peter
In the context of numerical simulations of the vascular system, local geometric uncertainties have not yet been examined in sufficient detail due to model complexity and the associated large numerical effort. Such uncertainties are related to geometr
Externí odkaz:
http://arxiv.org/abs/2410.19472
Autor:
Kainz, Johannes, Makwana, Nikitabahen N., Kumar, Bipin, Ravichandran, S., Fries, Johan, Sardina, Gaetano, Mehlig, Bernhard, Hoffmann, Fabian
Considering turbulence is crucial to understanding clouds. However, covering all scales involved in the turbulent mixing of clouds with their environment is computationally challenging, urging the development of simpler models to represent some of th
Externí odkaz:
http://arxiv.org/abs/2410.03789
Autor:
Fries, Logan B., Trump, Jonathan R., Horne, Keith, Davis, Megan C., Grier, Catherine J., Shen, Yue, Anderson, Scott F., Dwelly, Tom, Homayouni, Y., Morrison, Sean, Runnoe, Jessie C., Trakhtenbrot, Benny, Assef, Roberto J., Bizyaev, Dmitry, Brandt, W. N., Breiding, Peter, Browstein, Joel, Chakraborty, Priyanka, Hall, P. B., Koekemoer, Anton M., Ibarra-Medel, Héctor J., Martínez-Aldama, Mary Loli, Negrete, C. Alenka, Pan, Kaike, Ricci, Claudio, Scheider, Donald P., Sharp, Hugh W., Smith, Theodore B., Stone, Zachary, Temple, Matthew J.
We present a velocity-resolved reverberation mapping analysis of the hypervariable quasar RM160 (SDSS J141041.25+531849.0) at z = 0.359 with 153 spectroscopic epochs of data representing a ten-year baseline (2013-2023). We split the baseline into two
Externí odkaz:
http://arxiv.org/abs/2409.12229
The effects of the aortic geometry on its mechanics and blood flow, and subsequently on aortic pathologies, remain largely unexplored. The main obstacle lies in obtaining patient-specific aorta models, an extremely difficult procedure in terms of eth
Externí odkaz:
http://arxiv.org/abs/2409.08635
Autor:
Steinberg, Ethan, Wornow, Michael, Bedi, Suhana, Fries, Jason Alan, McDermott, Matthew B. A., Shah, Nigam H.
The growing demand for machine learning in healthcare requires processing increasingly large electronic health record (EHR) datasets, but existing pipelines are not computationally efficient or scalable. In this paper, we introduce meds_reader, an op
Externí odkaz:
http://arxiv.org/abs/2409.09095
Autor:
Musedinovic, R., Blokland, L. S., Cude-Woods, C. B., Singh, M., Blatnik, M. A., Callahan, N., Choi, J. H., Clayton, S., Filippone, B. W., Fox, W. R., Fries, E., Geltenbort, P., Gonzalez, F. M., Hayen, L., Hickerson, K. P., Holley, A. T., Ito, T. M., Komives, A., Lin, S, Liu, Chen-Yu, Makela, M. F., O'Shaughnessy, C. M., Pattie Jr, R. W., Ramsey, J. C., Salvat, D. J., Saunders, A., Seestrom, S. J., Sharapov, E. I., Tang, Z., Uhrich, F. W., Vanderwerp, J., Walstrom, P., Wang, Z., Young, A. R., Morris, C. L.
Here we publish three years of data for the UCNtau experiment performed at the Los Alamos Ultra Cold Neutron Facility at the Los Alamos Neutron Science Center. These data are in addition to our previously published data. Our goals in this paper are t
Externí odkaz:
http://arxiv.org/abs/2409.05560