Zobrazeno 1 - 10
of 39 269
pro vyhledávání: '"Croft, A."'
Autor:
Brierley-Croft, Sebastian, Olmsted, Peter D., Hine, Peter J., Mandle, Richard J., Chaplin, Adam, Grasmeder, John, Mattsson, Johan
We present a new method that successfully predicts the glass transition temperature $T_{\! \textrm{g}}$ of polymers based on their monomer structure. The model combines ideas from Group Additive Properties (GAP) and Quantitative Structure Property Re
Externí odkaz:
http://arxiv.org/abs/2411.06461
Autor:
Ge, Bo-Xuan, Lim, Eugene A., Sperhake, Ulrich, Evstafyeva, Tamara, Cors, Daniela, de Jong, Eloy, Croft, Robin, Helfer, Thomas
We explore the gravitational-wave emission from head-on collisions of equal-mass solitonic boson-star binaries from simulations spanning a two-dimensional parameter space, consisting of the central scalar-field amplitude of the stars and the solitoni
Externí odkaz:
http://arxiv.org/abs/2410.23839
The apparent angular positions of quasars are deflected on the sky by the gravitational field sourced by foreground matter. This weak lensing effect is measurable through the distortions it introduces in the lensed quasar spectra. Discrepancies in th
Externí odkaz:
http://arxiv.org/abs/2410.20014
Autor:
Tüysüz, Cenk, Demidik, Maria, Coopmans, Luuk, Rinaldi, Enrico, Croft, Vincent, Haddad, Yacine, Rosenkranz, Matthias, Jansen, Karl
In recent years, researchers have been exploring ways to generalize Boltzmann machines (BMs) to quantum systems, leading to the development of variations such as fully-visible and restricted quantum Boltzmann machines (QBMs). Due to the non-commuting
Externí odkaz:
http://arxiv.org/abs/2410.16363
Autor:
Manunza, Lorenzo, Vendrame, Alice, Pizzuto, Luca, Mulas, Monica, Perez, Karen I., Gajjar, Vishal, Melis, Andrea, Pilia, Maura, Perrodin, Delphine, Aresu, Giambattista, Burgay, Marta, Cabras, Alessandro, Carboni, Giuseppe, Casu, Silvia, Coiana, Tiziana, Corongiu, Alessandro, Croft, Steve, Egron, Elise, Johnson, Owen A., Ladu, Adelaide, Lebofsky, Matt, Loi, Francesca, MacMahon, David, Molinari, Emilio, Murgia, Matteo, Pellizzoni, Alberto, Pisanu, Tonino, Poddighe, Antonio, Rea, Erika, Siemion, Andrew, Soletta, Paolo, Trudu, Matteo, Vacca, Valentina
The quest for radio signals from technologically-advanced extraterrestrial intelligence has traditionally concentrated on the vicinity of 1.4 GHz. In this paper, we extend the search to unprecedented territories, detailing our extensive observations
Externí odkaz:
http://arxiv.org/abs/2410.09288
Learning from Demonstration (LfD) is a powerful type of machine learning that can allow novices to teach and program robots to complete various tasks. However, the learning process for these systems may still be difficult for novices to interpret and
Externí odkaz:
http://arxiv.org/abs/2410.05715
Autor:
Ni, Yueying, Chen, Nianyi, Zhou, Yihao, Park, Minjung, Yang, Yanhui, DiMatteo, Tiziana, Bird, Simeon, Croft, Rupert
We present new results from the ASTRID simulation from $z=3$ to $z=0.5$, covering the epoch of cosmic noon. The galaxy stellar mass function, as well as the black hole mass and luminosity functions in ASTRID, exhibit good agreement with recent observ
Externí odkaz:
http://arxiv.org/abs/2409.10666
Autor:
Croft, Janet Brennan
Publikováno v:
Mythlore, 2024 Oct 01. 431(145), 3-4.
Externí odkaz:
https://www.jstor.org/stable/48792473
AI-assisted super-resolution cosmological simulations IV: An emulator for deterministic realizations
Autor:
Zhang, Xiaowen, Lachance, Patrick, Dasgupta, Ankita, Croft, Rupert A. C., Di Matteo, Tiziana, Ni, Yueying, Bird, Simeon, Li, Yin
Super-resolution (SR) models in cosmological simulations use deep learning (DL) to rapidly supplement low-resolution (LR) runs with statistically correct, fine details. The SR technique preserves large-scale structures by conditioning on a low-resolu
Externí odkaz:
http://arxiv.org/abs/2408.09051
Artificial Intelligence (AI) advancements have enabled the development of Large Language Models (LLMs) that can perform a variety of tasks with remarkable semantic understanding and accuracy. ChatGPT is one such LLM that has gained significant attent
Externí odkaz:
http://arxiv.org/abs/2408.00435