Zobrazeno 1 - 10
of 672
pro vyhledávání: '"MARTIN, JOSHUA"'
Autor:
Martin, Joshua Scott
Although software architecture aims for long-term stability, architectural migrations may be necessary to adapt to evolving business needs and resource availability. In recent years, numerous migrations have occurred within backend architectures. Whi
Externí odkaz:
https://hdl.handle.net/10919/123848
Autor:
Martin, Joshua, Feldman, Catherine, Siegmann, Eva, Curtis, Tony, Carlson, David, Coskun, Firat, Wood, Daniel, Gonzalez, Raul, Harrison, Robert J., Calder, Alan C.
Publikováno v:
Practice and Experience in Advanced Research Computing 2024 Article no.8
Astrophysical simulations are computation, memory, and thus energy intensive, thereby requiring new hardware advances for progress. Stony Brook University recently expanded its computing cluster "SeaWulf" with an addition of 94 new nodes featuring In
Externí odkaz:
http://arxiv.org/abs/2408.16084
We consider a class of Heisenberg all-to-all coupled spin models inspired by neutrino interactions in a supernova with $N$ degrees of freedom. These models are characterized by a coupling matrix that is relatively simple in the sense that there are o
Externí odkaz:
http://arxiv.org/abs/2406.18677
Autor:
Allec, Sarah I., Muckley, Eric S., Johnson, Nathan S., Borg, Christopher K. H., Kirsch, Dylan J., Martin, Joshua, Pant, Rohit, Takeuchi, Ichiro, Lee, Andrew S., Saal, James E., Ward, Logan, Mehta, Apurva
Although the convergence of high-performance computing, automation, and machine learning has significantly altered the materials design timeline, transformative advances in functional materials and acceleration of their design will require addressing
Externí odkaz:
http://arxiv.org/abs/2311.10205
Neutrino gases are expected to form in high density astrophysical environments, and accurately modeling their flavor evolution is critical to understanding such environments. In this work we study a simplified model of such a dense neutrino gas in th
Externí odkaz:
http://arxiv.org/abs/2307.16793
Autor:
Beck, Douglas, Carlson, Joseph, Davoudi, Zohreh, Formaggio, Joseph, Quaglioni, Sofia, Savage, Martin, Barata, Joao, Bhattacharya, Tanmoy, Bishof, Michael, Cloet, Ian, Delgado, Andrea, DeMarco, Michael, Fink, Caleb, Florio, Adrien, Francois, Marianne, Grabowska, Dorota, Hoogerheide, Shannon, Huang, Mengyao, Ikeda, Kazuki, Illa, Marc, Joo, Kyungseon, Kharzeev, Dmitri, Kowalski, Karol, Lai, Wai Kin, Leach, Kyle, Loer, Ben, Low, Ian, Martin, Joshua, Moore, David, Mehen, Thomas, Mueller, Niklas, Mulligan, James, Mumm, Pieter, Pederiva, Francesco, Pisarski, Rob, Ploskon, Mateusz, Reddy, Sanjay, Rupak, Gautam, Singh, Hersh, Singh, Maninder, Stetcu, Ionel, Stryker, Jesse, Szypryt, Paul, Valgushev, Semeon, VanDevender, Brent, Watkins, Samuel, Wilson, Christopher, Yao, Xiaojun, Afanasev, Andrei, Balantekin, Akif Baha, Baroni, Alessandro, Bunker, Raymond, Chakraborty, Bipasha, Chernyshev, Ivan, Cirigliano, Vincenzo, Clark, Benjamin, Dhiman, Shashi Kumar, Du, Weijie, Dutta, Dipangkar, Edwards, Robert, Flores, Abraham, Galindo-Uribarri, Alfredo, Ruiz, Ronald Fernando Garcia, Gueorguiev, Vesselin, Guo, Fanqing, Hansen, Erin, Hernandez, Hector, Hattori, Koichi, Hauke, Philipp, Hjorth-Jensen, Morten, Jankowski, Keith, Johnson, Calvin, Lacroix, Denis, Lee, Dean, Lin, Huey-Wen, Liu, Xiaohui, Llanes-Estrada, Felipe J., Looney, John, Lukin, Misha, Mercenne, Alexis, Miller, Jeff, Mottola, Emil, Mueller, Berndt, Nachman, Benjamin, Negele, John, Orrell, John, Patwardhan, Amol, Phillips, Daniel, Poole, Stephen, Qualters, Irene, Rumore, Mike, Schaefer, Thomas, Scott, Jeremy, Singh, Rajeev, Vary, James, Galvez-Viruet, Juan-Jose, Wendt, Kyle, Xing, Hongxi, Yang, Liang, Young, Glenn, Zhao, Fanyi
In preparation for the 2023 NSAC Long Range Plan (LRP), members of the Nuclear Science community gathered to discuss the current state of, and plans for further leveraging opportunities in, QIST in NP research at the Quantum Information Science for U
Externí odkaz:
http://arxiv.org/abs/2303.00113