Zobrazeno 1 - 10
of 69 591
pro vyhledávání: '"Petri, A."'
Autor:
Barashkov, Nikolay, Laarne, Petri
We study the expected transition frequency between the two metastable states of a stochastic wave equation with double-well potential. By transition state theory, the frequency factorizes into two components: one depends only on the invariant measure
Externí odkaz:
http://arxiv.org/abs/2410.03495
Autor:
Hsiao, Yao, Nikoleris, Nikos, Khyzha, Artem, Mulligan, Dominic P., Petri, Gustavo, Fletcher, Christopher W., Trippel, Caroline
The Check tools automate formal memory consistency model and security verification of processors by analyzing abstract models of microarchitectures, called $\mu$SPEC models. Despite the efficacy of this approach, a verification gap between $\mu$SPEC
Externí odkaz:
http://arxiv.org/abs/2409.19478
Previous studies have found that localized strengthening of the f mode recedes the emergence of active regions on the Sun by one day to three days. To help interpret these observations, we have performed nonlinear simulations of convection with impos
Externí odkaz:
http://arxiv.org/abs/2409.14840
Autor:
Heikkinen, Petri J., Levitin, Lev V., Rojas, Xavier, Singh, Angadjit, Eng, Nathan, Casey, Andrew, Saunders, John, Vorontsov, Anton, Zhelev, Nikolay, Sebastian, Abhilash Thanniyil, Parpia, Jeevak M.
Anisotropic pair breaking close to surfaces favors chiral superfluid $^3$He-A over time-reversal invariant $^3$He-B. Confining superfluid $^3$He into a cavity of height $D$ of the order of the Cooper pair size characterized by the coherence length $\
Externí odkaz:
http://arxiv.org/abs/2409.12901
Autor:
Wech, Tobias, Schad, Oliver, Sauer, Simon, Kleineisel, Jonas, Petri, Nils, Nordbeck, Peter, Bley, Thorsten A., Baeßler, Bettina, Petritsch, Bernhard, Heidenreich, Julius F.
A joint image reconstruction and segmentation approach based on disentangled representation learning was trained to enable cardiac cine MR imaging in real-time and under free-breathing. An exploratory feasibility study tested the proposed method in u
Externí odkaz:
http://arxiv.org/abs/2409.08619
In this paper we analyze a neuromorphic controller, inspired by the leaky integrate-and-fire neuronal model, in closed-loop with a single-input single-output linear time-invariant system. The controller consists of two neuron-like variables and gener
Externí odkaz:
http://arxiv.org/abs/2409.06353
We study the inverse scattering from a screen with using only one incoming time--harmonic plane wave but with measurements of the scattered wave done at all directions. Especially we focus on the 2D--case i.e. (inverse) scattering from an open bounde
Externí odkaz:
http://arxiv.org/abs/2409.02591
Autor:
Gutiérrez, Claudia P., Mattila, Seppo, Lundqvist, Peter, Dessart, Luc, González-Gaitán, Santiago, Jonker, Peter G., Dong, Subo, Coppejans, Deanne, Chen, Ping, Charalampopoulos, Panos, Elias-Rosa, Nancy, Reynolds, Thomas, Kochanek, Christopher, Fraser, Morgan, Pastorello, Andrea, Gromadzki, Mariusz, Neustadt, Jack, Benetti, Stefano, Kankare, Erkki, Kangas, Tuomas, Kotak, Rubina, Stritzinger, Maximilian D., Wevers, Thomas, Zhang, Bing, Bersier, David, Bose, Subhash, Buckley, David A. H., Dastidar, Raya, Gangopadhyay, Anjasha, Hamanowicz, Aleksandra, Kollmeier, Juna, Mao, Jirong, Potter, Stephen B., Romero-Colmenero, Encarni, Singh, Mridweeka, Somero, Auni, Terreran, Giacomo, Vaisanen, Petri, Wyrzykowski, Lukasz
We present ultraviolet, optical and near-infrared photometric and optical spectroscopic observations of the luminous, fast blue optical transient (LFBOT), CSS161010:045834-081803 (CSS161010). The transient was found in a low-redshift (z=0.033) dwarf
Externí odkaz:
http://arxiv.org/abs/2408.04698
Based on a review of anecdotal beliefs, we explored patterns of track-sequencing within professional music albums. We found that songs with high levels of valence, energy and loudness are more likely to be positioned at the beginning of each album. W
Externí odkaz:
http://arxiv.org/abs/2408.04383
Modeling atmospheric chemistry is complex and computationally intense. Given the recent success of Deep neural networks in digital signal processing, we propose a Neural Network Emulator for fast chemical concentration modeling. We consider atmospher
Externí odkaz:
http://arxiv.org/abs/2408.01829