2 citations · 2 across the 5 of their papers we have counts for
5 papers
Square matrix-based six-dimensional convergence map for nonlinear beam dynamics analysis
Jinyu Wan, Yue Hao
The square matrix-based convergence map (CM) method has proven effective in characterizing nonlinear dynamics in several 4-D dynamical systems. However, when time-dependent perturb…
A multi-language auto-differentiation module and its application to a parallel particle-in-cell code on distributed computers
Ji Qianga, Yue Hao, Allen Qiang +1
The auto differentiable simulation is a type of simulation that outputs of the simulation include not only the simulation result itself, but also their derivatives with respect to…
Fast chaos indicator from auto-differentiation for dynamic aperture optimization
Ji Qiang, Jinyu Wan, Allen Qiang +1
Automatic differentiation provides an efficient means of computing derivatives of complex functions with machine precision, thereby enabling differentiable simulation. In this work…
JuTrack: a Julia package for auto-differentiable accelerator modeling and particle tracking
Jinyu Wan, Helena Alamprese, Christian Ratcliff +2
Efficient accelerator modeling and particle tracking are key for the design and configuration of modern particle accelerators. In this work, we present JuTrack, a nested accelerato…
Time-Delayed Koopman Network-Based Model Predictive Control for the FRIB RFQ
Jinyu Wan, Shen Zhao, Wei Chang +1
The radio-frequency quadrupole (RFQ) at the Facility for Rare Isotope Beams (FRIB) is a critical device to accelerate heavy ion beams from 12 keV/u to 0.5 MeV/u for state-of-the-ar…