Zobrazeno 1 - 10
of 538
pro vyhledávání: '"J. Luc"'
Autor:
Roth, Nathaniel, Anninos, Peter, Robinson, Peter B., Peterson, J. Luc, Polak, Brooke, Mangan, Tymothy K., Beyer, Kyle
We report on a new capability added to our general relativistic radiation-magnetohydrodynamics code, Cosmos++: an implicit Monte Carlo (IMC) treatment for radiation transport. The method is based on a Fleck-type implicit discretization of the radiati
Externí odkaz:
http://arxiv.org/abs/2206.01760
Autor:
Anirudh, Rushil, Archibald, Rick, Asif, M. Salman, Becker, Markus M., Benkadda, Sadruddin, Bremer, Peer-Timo, Budé, Rick H. S., Chang, C. S., Chen, Lei, Churchill, R. M., Citrin, Jonathan, Gaffney, Jim A, Gainaru, Ana, Gekelman, Walter, Gibbs, Tom, Hamaguchi, Satoshi, Hill, Christian, Humbird, Kelli, Jalas, Sören, Kawaguchi, Satoru, Kim, Gon-Ho, Kirchen, Manuel, Klasky, Scott, Kline, John L., Krushelnick, Karl, Kustowski, Bogdan, Lapenta, Giovanni, Li, Wenting, Ma, Tammy, Mason, Nigel J., Mesbah, Ali, Michoski, Craig, Munson, Todd, Murakami, Izumi, Najm, Habib N., Olofsson, K. Erik J., Park, Seolhye, Peterson, J. Luc, Probst, Michael, Pugmire, Dave, Sammuli, Brian, Sawlani, Kapil, Scheinker, Alexander, Schissel, David P., Shalloo, Rob J., Shinagawa, Jun, Seong, Jaegu, Spears, Brian K., Tennyson, Jonathan, Thiagarajan, Jayaraman, Ticoş, Catalin M., Trieschmann, Jan, van Dijk, Jan, Van Essen, Brian, Ventzek, Peter, Wang, Haimin, Wang, Jason T. L., Wang, Zhehui, Wende, Kristian, Xu, Xueqiao, Yamada, Hiroshi, Yokoyama, Tatsuya, Zhang, Xinhua
Publikováno v:
IEEE Transactions on Plasma Science 51, 1750 - 1838 (2023)
Data science and technology offer transformative tools and methods to science. This review article highlights latest development and progress in the interdisciplinary field of data-driven plasma science (DDPS). A large amount of data and machine lear
Externí odkaz:
http://arxiv.org/abs/2205.15832
Autor:
Hatfield, Peter W., Gaffney, Jim A., Anderson, Gemma J., Ali, Suzanne, Antonelli, Luca, Pree, Suzan Başeğmez du, Citrin, Jonathan, Fajardo, Marta, Knapp, Patrick, Kettle, Brendan, Kustowski, Bogdan, MacDonald, Michael J., Mariscal, Derek, Martin, Madison E., Nagayama, Taisuke, Palmer, Charlotte A. J., Peterson, J. Luc, Rose, Steven, Ruby, J J, Shneider, Carl, Streeter, Matt J. V., Trickey, Will, Williams, Ben
Publikováno v:
Nature, 593, 7859, 351-361, 2021
The study of plasma physics under conditions of extreme temperatures, densities and electromagnetic field strengths is significant for our understanding of astrophysics, nuclear fusion and fundamental physics. These extreme physical systems are stron
Externí odkaz:
http://arxiv.org/abs/2111.11310
Autor:
da Silva, Rafael Ferreira, Casanova, Henri, Chard, Kyle, Altintas, Ilkay, Badia, Rosa M, Balis, Bartosz, Coleman, Tainã, Coppens, Frederik, Di Natale, Frank, Enders, Bjoern, Fahringer, Thomas, Filgueira, Rosa, Fursin, Grigori, Garijo, Daniel, Goble, Carole, Howell, Dorran, Jha, Shantenu, Katz, Daniel S., Laney, Daniel, Leser, Ulf, Malawski, Maciej, Mehta, Kshitij, Pottier, Loïc, Ozik, Jonathan, Peterson, J. Luc, Ramakrishnan, Lavanya, Soiland-Reyes, Stian, Thain, Douglas, Wolf, Matthew
The landscape of workflow systems for scientific applications is notoriously convoluted with hundreds of seemingly equivalent workflow systems, many isolated research claims, and a steep learning curve. To address some of these challenges and lay the
Externí odkaz:
http://arxiv.org/abs/2110.02168
Publikováno v:
In High Energy Density Physics March 2024 50
Autor:
Peterson, J. Luc, Bay, Ben, Koning, Joe, Robinson, Peter, Semler, Jessica, White, Jeremy, Anirudh, Rushil, Athey, Kevin, Bremer, Peer-Timo, Di Natale, Francesco, Fox, David, Gaffney, Jim A., Jacobs, Sam A., Kailkhura, Bhavya, Kustowski, Bogdan, Langer, Steven, Spears, Brian, Thiagarajan, Jayaraman, Van Essen, Brian, Yeom, Jae-Seung
With the growing complexity of computational and experimental facilities, many scientific researchers are turning to machine learning (ML) techniques to analyze large scale ensemble data. With complexities such as multi-component workflows, heterogen
Externí odkaz:
http://arxiv.org/abs/1912.02892
Akademický článek
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Autor:
Peterson, J. Luc, Bay, Ben, Koning, Joe, Robinson, Peter, Semler, Jessica, White, Jeremy, Anirudh, Rushil, Athey, Kevin, Bremer, Peer-Timo, Di Natale, Francesco, Fox, David, Gaffney, Jim A., Jacobs, Sam A., Kailkhura, Bhavya, Kustowski, Bogdan, Langer, Steven, Spears, Brian, Thiagarajan, Jayaraman, Van Essen, Brian, Yeom, Jae-Seung
Publikováno v:
In Future Generation Computer Systems June 2022 131:255-268
Akademický článek
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Autor:
Celliers, Peter M., Millot, Marius, Brygoo, Stephanie, McWilliams, R. Stewart, Fratanduono, Dayne E., Rygg, J. Ryan, Goncharov, Alexander F., Loubeyre, Paul, Eggert, Jon H., Peterson, J. Luc, Meezan, Nathan B., Le Pape, Sebastien, Collins, Gilbert W., Jeanloz, Raymond, Hemley, Russell J.
Publikováno v:
Science, 2018 Aug . 361(6403), 677-682.
Externí odkaz:
https://www.jstor.org/stable/26498227