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M. Signorelli, J. Devlin, G. H. Hoffstaetter, and D. Sagan, “SciBmad: A differentiable, GPU-parallelized software library for particle accelerator design, nonlinear analysis, and machine learning”, presented at the 17th Int. Particle Accelerator Conf. (IPAC'26), Deauville, France, May 2026, paper THP5325, this conference. |
