Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Katz, Max"'
Autor:
Zingale, Michael, Bhargava, Khanak, Brady, Ryan, Chen, Zhi, Guichandut, Simon, Johnson, Eric T., Katz, Max, Clark, Alexander Smith
Stellar evolution is driven by the changing composition of a star from nuclear reactions. At the late stages of evolution and during explosive events, the timescale can be short and drive strong hydrodynamic flows, making simulations of astrophysical
Externí odkaz:
http://arxiv.org/abs/2411.12491
We build on the simplified spectral deferred corrections (SDC) coupling of hydrodynamics and reactions to handle the case of nuclear statistical equilibrium (NSE) and electron/positron captures/decays in the cores of massive stars. Our approach blend
Externí odkaz:
http://arxiv.org/abs/2403.14786
Autor:
Chen, Zhi, Johnson, Eric T., Katz, Max, Clark, Alexander Smith, Boyd, Brendan, Zingale, Michael
We describe the AMReX-Astrophysics framework for exploring the sensitivity of astrophysical simulations to the details of a nuclear reaction network, including the number of nuclei, choice of reaction rates, and approximations used. This is explored
Externí odkaz:
http://arxiv.org/abs/2312.02836
Autor:
Zingale, Michael, Chen, Zhi, Rasmussen, Melissa, Polin, Abigail, Katz, Max, Clark, Alexander Smith, Johnson, Eric T.
We study the coupling of hydrodynamics and reactions in simulations of the double detonation model for Type Ia supernovae. When assessing the convergence of simulations, the focus is usually on spatial resolution; however, the method of coupling the
Externí odkaz:
http://arxiv.org/abs/2309.01802
We explore the early evolution of flame ignition and spreading on the surface of a neutron star in three-dimensions, in the context of X-ray bursts. We look at the nucleosynthesis and morphology of the burning front and compare to two-dimensional axi
Externí odkaz:
http://arxiv.org/abs/2303.17077
Autor:
Stevenson, Garrett A., Jones, Derek, Kim, Hyojin, Bennett, W. F. Drew, Bennion, Brian J., Borucki, Monica, Bourguet, Feliza, Epstein, Aidan, Franco, Magdalena, Harmon, Brooke, He, Stewart, Katz, Max P., Kirshner, Daniel, Lao, Victoria, Lau, Edmond Y., Lo, Jacky, McLoughlin, Kevin, Mosesso, Richard, Murugesh, Deepa K., Negrete, Oscar A., Saada, Edwin A., Segelke, Brent, Stefan, Maxwell, Torres, Marisa W., Weilhammer, Dina, Wong, Sergio, Yang, Yue, Zemla, Adam, Zhang, Xiaohua, Zhu, Fangqiang, Lightstone, Felice C., Allen, Jonathan E.
Structure-based Deep Fusion models were recently shown to outperform several physics- and machine learning-based protein-ligand binding affinity prediction methods. As part of a multi-institutional COVID-19 pandemic response, over 500 million small m
Externí odkaz:
http://arxiv.org/abs/2104.04547
Autor:
Katz, Max P., Almgren, Ann, Sazo, Maria Barrios, Eiden, Kiran, Gott, Kevin, Harpole, Alice, Sexton, Jean M., Willcox, Don E., Zhang, Weiqun, Zingale, Michael
Astrophysical explosions such as supernovae are fascinating events that require sophisticated algorithms and substantial computational power to model. Castro and MAESTROeX are nuclear astrophysics codes that simulate thermonuclear fusion in the conte
Externí odkaz:
http://arxiv.org/abs/2007.05218