New directions for surrogate models and differentiable programming for High Energy Physics detector simulation. - Andreas Adelmann; Walter Hopkins; Evangelos Kourlitis; Michael Kagan; Gregor Kasieczka; Claudius Krause; David Shih; Vinicius Mikuni; Benjamin Nachman; Kevin Pedro; Daniel Winklehner (CoRR, 2022)

Neural networks as effective surrogate models of radio-frequency quadrupole particle accelerator simulations. - Joshua Villarreal; Daniel Winklehner; Daniel Koser; Janet Marie Conrad (Mach. Learn. Sci. Technol., 2024)