Physics-based deep neural networks for beam dynamics in charged particle accelerators
نویسندگان
چکیده
منابع مشابه
of parallel computational methods to charged - particle beam dynamics
Invited ta Accelerator Ph 2, 2004. Correspond E-mail addr Work suppo contract numbe Support by gratefully ackno cations of parallel computational methods to charged-particle beam dynamics A. Kabel , Y. Cai, M. Dohlus, T. Sen, R. Uplenchwar Stanford Linear Accelerator Center, 2575 Sand Hill Road, Menlo Park, CA 94025, USA Deutsches Elektronen-Synchrotron DESY, Notkestr. 85, D-22603 Hamburg, Germ...
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ژورنال
عنوان ژورنال: Physical Review Accelerators and Beams
سال: 2020
ISSN: 2469-9888
DOI: 10.1103/physrevaccelbeams.23.074601