Zobrazeno 1 - 10
of 1 110
pro vyhledávání: '"Trojak, A"'
Autor:
Schmude, Johannes, Roy, Sujit, Trojak, Will, Jakubik, Johannes, Civitarese, Daniel Salles, Singh, Shraddha, Kuehnert, Julian, Ankur, Kumar, Gupta, Aman, Phillips, Christopher E, Kienzler, Romeo, Szwarcman, Daniela, Gaur, Vishal, Shinde, Rajat, Lal, Rohit, Da Silva, Arlindo, Diaz, Jorge Luis Guevara, Jones, Anne, Pfreundschuh, Simon, Lin, Amy, Sheshadri, Aditi, Nair, Udaysankar, Anantharaj, Valentine, Hamann, Hendrik, Watson, Campbell, Maskey, Manil, Lee, Tsengdar J, Moreno, Juan Bernabe, Ramachandran, Rahul
Triggered by the realization that AI emulators can rival the performance of traditional numerical weather prediction models running on HPC systems, there is now an increasing number of large AI models that address use cases such as forecasting, downs
Externí odkaz:
http://arxiv.org/abs/2409.13598
Autor:
Witherden, Freddie D., Vincent, Peter E., Trojak, Will, Abe, Yoshiaki, Akbarzadeh, Amir, Akkurt, Semih, Alhawwary, Mohammad, Caros, Lidia, Dzanic, Tarik, Giangaspero, Giorgio, Iyer, Arvind S., Jameson, Antony, Koch, Marius, Loppi, Niki, Mishra, Sambit, Modi, Rishit, Sáez-Mischlich, Gonzalo, Park, Jin Seok, Vermeire, Brian C., Wang, Lai
PyFR is an open-source cross-platform computational fluid dynamics framework based on the high-order Flux Reconstruction approach, specifically designed for undertaking high-accuracy scale-resolving simulations in the vicinity of complex engineering
Externí odkaz:
http://arxiv.org/abs/2408.16509
Autor:
Watson, Joe, Song, Chen, Weeger, Oliver, Gruner, Theo, Le, An T., Hansel, Kay, Hendawy, Ahmed, Arenz, Oleg, Trojak, Will, Cranmer, Miles, D'Eramo, Carlo, Bülow, Fabian, Goyal, Tanmay, Peters, Jan, Hoffman, Martin W.
This survey examines the broad suite of methods and models for combining machine learning with physics knowledge for prediction and forecast, with a focus on partial differential equations. These methods have attracted significant interest due to the
Externí odkaz:
http://arxiv.org/abs/2408.09840
Autor:
Ecker, Sebastian, Fink, Matthias, Scheidl, Thomas, Sohr, Philipp, Ursin, Rupert, Arshad, Muhammad Junaid, Bonato, Cristian, Cilibrizzi, Pasquale, Gali, Adam, Udvarhelyi, Péter, Politi, Alberto, Trojak, Oliver J., Ghezellou, Misagh, Hassan, Jawad Ul, Ivanov, Ivan G., Son, Nguyen Tien, Burkard, Guido, Tissot, Benedikt, Hendriks, Joop, Gilardoni, Carmem M., van der Wal, Caspar H., David, Christian, Astner, Thomas, Koller, Philipp, Trupke, Michael
Quantum communication promises unprecedented communication capabilities enabled by the transmission of quantum states of light. However, current implementations face severe limitations in communication distance due to photon loss. Silicon carbide (Si
Externí odkaz:
http://arxiv.org/abs/2403.03284
Autor:
Trojak, Will, Dzanic, Tarik
We introduce a novel positivity-preserving, parameter-free numerical stabilisation approach for high-order discontinuous spectral element approximations of compressible multi-species flows. The underlying stabilisation method is the adaptive entropy
Externí odkaz:
http://arxiv.org/abs/2308.02426
A novel comparison is presented of the effect of optimiser choice on the accuracy of physics-informed neural networks (PINNs). To give insight into why some optimisers are better, a new approach is proposed that tracks the training trajectory curvatu
Externí odkaz:
http://arxiv.org/abs/2303.15196
For large Reynolds number flows, it is typically necessary to perform simulations that are under-resolved with respect to the underlying flow physics. For nodal discontinuous spectral element approximations of these under-resolved flows, the collocat
Externí odkaz:
http://arxiv.org/abs/2302.13359
Autor:
Skowron, Ernest1 (AUTHOR) ernest.skowron@ujk.edu.pl, Trojak, Magdalena1 (AUTHOR), Pacak, Ilona2 (AUTHOR) ilona.pacak@gmail.com
Publikováno v:
International Journal of Molecular Sciences. Sep2024, Vol. 25 Issue 17, p9298. 24p.
An extended range of energy stable flux reconstruction schemes, developed using a summation-by-parts approach, is presented on quadrilateral elements for various sets of polynomial bases. For the maximal order bases, a new set of correction functions
Externí odkaz:
http://arxiv.org/abs/2206.01015
Autor:
Eduard Isenmann, Isabella Trojak, Alessio Lesch, Jan Schalla, Tim Havers, Patrick Diel, Stephan Geisler
Publikováno v:
Journal of the International Society of Sports Nutrition, Vol 21, Iss 1 (2024)
Background An increasing number of people, including recreational trained individuals, choose not to consume animal products and follow a vegan diet. Young women in particular are switching to a vegan diet. Studies have shown no difference in perform
Externí odkaz:
https://doaj.org/article/951feee0df2c490ab6060511cc2e6e4d