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Author: A. Huebl


References



Reference
R. G. Pausch et al., “Computing Angularly-resolved Far Field Emission Spectra in Particle-in-cell Codes using GPUs”, in Proc. 5th Int. Particle Accelerator Conf. (IPAC'14), Dresden, Germany, Jun. 2014, pp. 761-764.
U. Schramm et al., “First Results with the Novel Peta-Watt Laser Acceleration Facility in Dresden”, in Proc. 8th Int. Particle Accelerator Conf. (IPAC'17), Copenhagen, Denmark, May 2017, pp. 48-52.
C. E. Mayes et al., “Lightsource Unified Modeling Environment (LUME), a Start-to-End Simulation Ecosystem”, in Proc. 12th Int. Particle Accelerator Conf. (IPAC'21), Campinas, Brazil, May 2021, pp. 4212-4215.
W. H. Tan et al., “Simulation Studies of Drive Beam Instability in a Dielectric Wakefield Accelerator”, in Proc. 13th Int. Particle Accelerator Conf. (IPAC'22), Bangkok, Thailand, Jun. 2022, pp. 645-648.
?ü. Ferran Pousa et al., “Multitask Optimization of Laser-Plasma Accelerators Using Simulation Codes with Different Fidelities”, in Proc. 13th Int. Particle Accelerator Conf. (IPAC'22), Bangkok, Thailand, Jun. 2022, pp. 1761-1764.
A. Huebl et al., “Next Generation Computational Tools for the Modeling and Design of Particle Accelerators at Exascale”, in Proc. North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, pp. 302-306.
J.-L. Vay et al., “Modeling of Plasma Accelerators with the Exascale Code WarpX”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper TUPA100, pp..
R. Sandberg et al., “Hybrid beamline element ML-training for surrogates in the impactX beam-dynamics code”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper WEPA101, pp. 2885-2888.
A. Sinn et al., “Efficient simulation of multistage plasma accelerators”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper TUPA093, pp. 1533-1536.


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