• Towards learning optimized kernels for complex Langevin 

      Alvestad, Daniel; Larsen, Rasmus Normann; Rothkopf, Alexander Karl (Peer reviewed; Journal article, 2023)
      We present a novel strategy aimed at restoring correct convergence in complex Langevin simulations. The central idea is to incorporate system-specific prior knowledge into the simulations, in order to circumvent the NP-hard ...
    • Towards the nucleon hadronic tensor from lattice QCD 

      Liang, Jian; Draper, Terrence; Liu, Keh-Fei; Rothkopf, Alexander Karl; Yang, Yi-Bo (Peer reviewed; Journal article, 2020-06)
      We present the first calculation of the hadronic tensor on the lattice for the nucleon. The hadronic tensor can be used to extract structure functions in deep inelastic scatterings and to provide information for neutrino-nucleon ...