Zobrazeno 1 - 10
of 412
pro vyhledávání: '"Rasmussen, P. O."'
Autor:
Adak, Dibyendu, Truong, Duc P., Vuchkov, Radoslav, De, Saibal, DeSantis, Derek, Roberts, Nathan V., Rasmussen, Kim Ø., Alexandrov, Boian S.
In this paper, we present a new space-time Petrov-Galerkin-like method. This method utilizes a mixed formulation of Tensor Train (TT) and Quantized Tensor Train (QTT), designed for the spectral element discretization (Q1-SEM) of the time-dependent co
Externí odkaz:
http://arxiv.org/abs/2411.04026
Autor:
Barron, Ryan C., Grantcharov, Ves, Wanna, Selma, Eren, Maksim E., Bhattarai, Manish, Solovyev, Nicholas, Tompkins, George, Nicholas, Charles, Rasmussen, Kim Ø., Matuszek, Cynthia, Alexandrov, Boian S.
Large Language Models (LLMs) are pre-trained on large-scale corpora and excel in numerous general natural language processing (NLP) tasks, such as question answering (QA). Despite their advanced language capabilities, when it comes to domain-specific
Externí odkaz:
http://arxiv.org/abs/2410.02721
We theoretically and computationally investigate the cooling of antihydrogen, $\bar{H}$, using optical molasses cooling. This updates the results in Ref. [1] to the current capabilities of the ALPHA experiment. Through Monte Carlo simulation, we show
Externí odkaz:
http://arxiv.org/abs/2409.16512
Autor:
Danis, Mustafa Engin, Truong, Duc P., DeSantis, Derek, Petersen, Mark, Rasmussen, Kim O., Alexandrov, Boian S.
In this paper, we introduce a high-order tensor-train (TT) finite volume method for the Shallow Water Equations (SWEs). We present the implementation of the $3^{rd}$ order Upwind and the $5^{th}$ order Upwind and WENO reconstruction schemes in the TT
Externí odkaz:
http://arxiv.org/abs/2408.03483
Spectral methods provide highly accurate numerical solutions for partial differential equations, exhibiting exponential convergence with the number of spectral nodes. Traditionally, in addressing time-dependent nonlinear problems, attention has been
Externí odkaz:
http://arxiv.org/abs/2406.02505
Emerging tensor network techniques for solutions of Partial Differential Equations (PDEs), known for their ability to break the curse of dimensionality, deliver new mathematical methods for ultrafast numerical solutions of high-dimensional problems.
Externí odkaz:
http://arxiv.org/abs/2402.18073
Autor:
Solovyev, Nicholas, Barron, Ryan, Bhattarai, Manish, Eren, Maksim E., Rasmussen, Kim O., Alexandrov, Boian S.
Highly specific datasets of scientific literature are important for both research and education. However, it is difficult to build such datasets at scale. A common approach is to build these datasets reductively by applying topic modeling on an estab
Externí odkaz:
http://arxiv.org/abs/2309.10772
Autor:
Truong, Duc P., Ortega, Mario I., Boureima, Ismael, Manzini, Gianmarco, Rasmussen, Kim Ø., Alexandrov, Boian S.
Tensor network techniques, known for their low-rank approximation ability that breaks the curse of dimensionality, are emerging as a foundation of new mathematical methods for ultra-fast numerical solutions of high-dimensional Partial Differential Eq
Externí odkaz:
http://arxiv.org/abs/2309.03347
Autor:
Baker, C. J., Bertsche, W., Capra, A., Cesar, C. L., Charlton, M., Christensen, A. J., Collister, R., Mathad, A. Cridland, Eriksson, S., Evans, A., Evetts, N., Fabbri, S., Fajans, J., Friesen, T., Fujiwara, M. C., Gill, D. R., Grandemange, P., Granum, P., Hangst, J. S., Hayden, M. E., Hodgkinson, D., Isaac, C. A., Johnson, M. A., Jones, J. M., Jones, S. A., Khramov, A., Kurchaninov, L., Madsen, N., Maxwell, D., McKenna, J. T. K., Menary, S., Momose, T., Mullan, P. S., Munich, J. J., Olchanski, K., Peszka, J., Powell, A., Rasmussen, C. O., Sacramento, R. L., Sameed, M., Sarid, E., Silveira, D. M., So, C., Starko, D. M., Stutter, G., Tharp, T. D., Thompson, R. I., Torkzaban, C., van der Werf, D. P., Wurtele, J. S.
The ALPHA Collaboration, based at the CERN Antiproton Decelerator, has recently implemented a novel beamline for low-energy ($\lesssim$ 100 eV) positron and antiproton transport between cylindrical Penning traps that have strong axial magnetic fields
Externí odkaz:
http://arxiv.org/abs/2211.09838
Nonlinear isolated and coupled oscillators are extensively studied as prototypical nonlinear dynamics models. Much attention has been devoted to oscillator synchronization or the lack thereof. Here, we study the synchronization and stability of coupl
Externí odkaz:
http://arxiv.org/abs/2208.11748