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pro vyhledávání: '"Sandberg, Ryan T."'
Autor:
Sandberg, Ryan T., Lehe, Remi, Mitchell, Chad E., Garten, Marco, Myers, Andrew, Qiang, Ji, Vay, Jean-Luc, Huebl, Axel
Publikováno v:
Proceedings of the Platform for Advanced Scientific Computing Conference PASC24 (2024)
Particle accelerator modeling is an important field of research and development, essential to investigating, designing and operating some of the most complex scientific devices ever built. Kinetic simulations of relativistic, charged particle beams a
Externí odkaz:
http://arxiv.org/abs/2402.17248
Autor:
Huebl, Axel, Lehe, Remi, Zoni, Edoardo, Shapoval, Olga, Sandberg, Ryan T., Garten, Marco, Formenti, Arianna, Jambunathan, Revathi, Kumar, Prabhat, Gott, Kevin, Myers, Andrew, Zhang, Weiqun, Almgren, Ann, Mitchell, Chad E., Qiang, Ji, Grote, David, Sinn, Alexander, Diederichs, Severin, Thevenet, Maxence, Fedeli, Luca, Clark, Thomas, Zaim, Neil, Vincenti, Henri, Vay, Jean-Luc
Developing complex, reliable advanced accelerators requires a coordinated, extensible, and comprehensive approach in modeling, from source to the end of beam lifetime. We present highlights in Exascale Computing to scale accelerator modeling software
Externí odkaz:
http://arxiv.org/abs/2303.12873
Next Generation Computational Tools for the Modeling and Design of Particle Accelerators at Exascale
Autor:
Huebl, Axel, Lehe, Remi, Mitchell, Chad E., Qiang, Ji, Ryne, Robert D., Sandberg, Ryan T., Vay, Jean-Luc
Publikováno v:
NAPAC22, 2022
Particle accelerators are among the largest, most complex devices. To meet the challenges of increasing energy, intensity, accuracy, compactness, complexity and efficiency, increasingly sophisticated computational tools are required for their design
Externí odkaz:
http://arxiv.org/abs/2208.02382