Zobrazeno 1 - 10
of 2 184
pro vyhledávání: '"Zhuk, P."'
A super-resolution (SR) method for the reconstruction of Navier-Stokes (NS) flows from noisy observations is presented. In the SR method, first the observation data is averaged over a coarse grid to reduce the noise at the expense of losing resolutio
Externí odkaz:
http://arxiv.org/abs/2411.05240
Autor:
Mariella, Nicola, Murphy, Tara, Di Marcantonio, Francesco, Najafi, Khadijeh, Vallecorsa, Sofia, Zhuk, Sergiy, Rico, Enrique
Quantum phase transitions offer profound insights into fundamental quantum phenomena and enhance our understanding of complex materials and systems. However, identifying quantum phase transitions in the absence of conventional order parameters poses
Externí odkaz:
http://arxiv.org/abs/2408.01400
Autor:
Agliardi, Gabriele, Cortiana, Giorgio, Dekusar, Anton, Ghosh, Kumar, Mohseni, Naeimeh, O'Meara, Corey, Valls, Víctor, Yogaraj, Kavitha, Zhuk, Sergiy
Electric Vehicles (EVs) are emerging as battery energy storage systems (BESSs) of increasing importance for different power grid services. However, the unique characteristics of EVs makes them more difficult to operate than dedicated BESSs. In this w
Externí odkaz:
http://arxiv.org/abs/2407.20802
Autor:
Robertson, Niall F., Pokharel, Bibek, Fuller, Bryce, Switzer, Eric, Shtanko, Oles, Amico, Mirko, Byrne, Adam, D'Urbano, Andrea, Hayes-Shuptar, Salome, Akhriev, Albert, Keenan, Nathan, Bravyi, Sergey, Zhuk, Sergiy
Tensor networks and quantum computation are two of the most powerful tools for the simulation of quantum many-body systems. Rather than viewing them as competing approaches, here we consider how these two methods can work in tandem. We introduce a no
Externí odkaz:
http://arxiv.org/abs/2407.17405
Autor:
Thorwarth, K., Watroba, M., Pshyk, O., Zhuk, S., Patidar, J., Schwiedrzik, J., Sommerhäuser, J., Sommerhäuser, L., Siol, S.
Ternary transition metal nitride coatings are promising for many applications as they can offer improved hardness and oxidation resistance compared to binary counterparts. A common challenge in the deposition of functional nitride thin films is oxyge
Externí odkaz:
http://arxiv.org/abs/2405.07789
Autor:
Zhuk, Dmitriy
The Quantified Constraint Satisfaction Problem is the problem of evaluating a sentence with both quantifiers, over relations from some constraint language, with conjunction as the only connective. We show that for any constraint language on a finite
Externí odkaz:
http://arxiv.org/abs/2404.03844
Autor:
Zhuk, Dmitriy
We develop a new theory of strong subalgebras and linear congruences that are defined globally. Using this theory we provide a new proof of the correctness of Zhuk's algorithm for all tractable CSPs on a finite domain, and therefore a new simplified
Externí odkaz:
http://arxiv.org/abs/2404.01080
Autor:
Mariella, Nicola, Akhriev, Albert, Tacchino, Francesco, Zoufal, Christa, Gonzalez-Espitia, Juan Carlos, Harsanyi, Benedek, Koskin, Eugene, Tavernelli, Ivano, Woerner, Stefan, Rapsomaniki, Marianna, Zhuk, Sergiy, Born, Jannis
Publikováno v:
PMLR 235:34822-34845, 2024
Optimal Transport (OT) has fueled machine learning (ML) across many domains. When paired data measurements $(\boldsymbol{\mu}, \boldsymbol{\nu})$ are coupled to covariates, a challenging conditional distribution learning setting arises. Existing appr
Externí odkaz:
http://arxiv.org/abs/2402.14991
A quantitative analysis of the effect of box size in N-body simulations of the matter power spectrum
We study the effect of box size on the matter power spectrum obtained via cosmological N-body simulations. Within the framework of the cosmic screening approach, we show that the relative deviation between the spectra for our largest comoving box wit
Externí odkaz:
http://arxiv.org/abs/2401.15214
Autor:
Alexeev, Yuri, Amsler, Maximilian, Baity, Paul, Barroca, Marco Antonio, Bassini, Sanzio, Battelle, Torey, Camps, Daan, Casanova, David, Choi, Young Jai, Chong, Frederic T., Chung, Charles, Codella, Chris, Corcoles, Antonio D., Cruise, James, Di Meglio, Alberto, Dubois, Jonathan, Duran, Ivan, Eckl, Thomas, Economou, Sophia, Eidenbenz, Stephan, Elmegreen, Bruce, Fare, Clyde, Faro, Ismael, Fernández, Cristina Sanz, Ferreira, Rodrigo Neumann Barros, Fuji, Keisuke, Fuller, Bryce, Gagliardi, Laura, Galli, Giulia, Glick, Jennifer R., Gobbi, Isacco, Gokhale, Pranav, Gonzalez, Salvador de la Puente, Greiner, Johannes, Gropp, Bill, Grossi, Michele, Gull, Emanuel, Healy, Burns, Huang, Benchen, Humble, Travis S., Ito, Nobuyasu, Izmaylov, Artur F., Javadi-Abhari, Ali, Jennewein, Douglas, Jha, Shantenu, Jiang, Liang, Jones, Barbara, de Jong, Wibe Albert, Jurcevic, Petar, Kirby, William, Kister, Stefan, Kitagawa, Masahiro, Klassen, Joel, Klymko, Katherine, Koh, Kwangwon, Kondo, Masaaki, Kurkcuoglu, Doga Murat, Kurowski, Krzysztof, Laino, Teodoro, Landfield, Ryan, Leininger, Matt, Leyton-Ortega, Vicente, Li, Ang, Lin, Meifeng, Liu, Junyu, Lorente, Nicolas, Luckow, Andre, Martiel, Simon, Martin-Fernandez, Francisco, Martonosi, Margaret, Marvinney, Claire, Medina, Arcesio Castaneda, Merten, Dirk, Mezzacapo, Antonio, Michielsen, Kristel, Mitra, Abhishek, Mittal, Tushar, Moon, Kyungsun, Moore, Joel, Motta, Mario, Na, Young-Hye, Nam, Yunseong, Narang, Prineha, Ohnishi, Yu-ya, Ottaviani, Daniele, Otten, Matthew, Pakin, Scott, Pascuzzi, Vincent R., Penault, Ed, Piontek, Tomasz, Pitera, Jed, Rall, Patrick, Ravi, Gokul Subramanian, Robertson, Niall, Rossi, Matteo, Rydlichowski, Piotr, Ryu, Hoon, Samsonidze, Georgy, Sato, Mitsuhisa, Saurabh, Nishant, Sharma, Vidushi, Sharma, Kunal, Shin, Soyoung, Slessman, George, Steiner, Mathias, Sitdikov, Iskandar, Suh, In-Saeng, Switzer, Eric, Tang, Wei, Thompson, Joel, Todo, Synge, Tran, Minh, Trenev, Dimitar, Trott, Christian, Tseng, Huan-Hsin, Tureci, Esin, Valinas, David García, Vallecorsa, Sofia, Wever, Christopher, Wojciechowski, Konrad, Wu, Xiaodi, Yoo, Shinjae, Yoshioka, Nobuyuki, Yu, Victor Wen-zhe, Yunoki, Seiji, Zhuk, Sergiy, Zubarev, Dmitry
Publikováno v:
Future Generation Computer Systems, Volume 160, November 2024, Pages 666-710
Computational models are an essential tool for the design, characterization, and discovery of novel materials. Hard computational tasks in materials science stretch the limits of existing high-performance supercomputing centers, consuming much of the
Externí odkaz:
http://arxiv.org/abs/2312.09733