For the record

Archival Publications (with PSAAP-3 support)

  1. A. A. Sliwiak and Q. Wang, Approximating the linear response of physical chaos, Nonlinear Dynamics (in press) (2022).
  2. A. A. Sliwiak and Q. Wang, Space-split algorithm for sensitivity analysis of discrete chaotic systems with multidimensional unstable manifolds, SIAM J. Sci. Comput. 44, A3290-A3316 (2022).
  3. W. Arias-Ramirez and J. Larsson, Grid sufficiency in large eddy simulations as a hypothesis test, Int. J. Comp. Fluid Dyn. 36, 260-264 (2022).
  4. A. Kahraman and J. Larsson, Adaptive determination of the optimal exchange location in wall-modeled large eddy simulation, AIAA J. 60, 4162-4173 (2022).
  5. A. A. Sliwiak and Q. Wang, A trajectory-driven algorithm for differentiating SRB measures on unstable manifolds, SIAM J. Sci. Comput. 44, A312-A336 (2022).
  6. A. A. Sliwiak and Q. Wang, Differentiating densities on smooth manifolds, Applied Mathematics and Computation 410, 126444 (2021).
  7. A. A. Sliwiak, N. Chandramoorthy, and Q. Wang, Computational assessment of smooth and rough parameter dependence of statistics in chaotic dynamical systems, Communications in Nonlinear Science and Numerical Simulation 101, 105906 (2021).

Archival Publications (with other support, but related to this research)

  1. S. Toosi and J. Larsson, The Germano identity error and the residual of the LES governing equation, J. Comput. Phys. 443, 110544 (2021).
  2. A. A. Sliwiak, N. Chandramoorthy, and Q. Wang, Ergodic sensitivity analysis of one-dimensional chaotic maps, Theoretical and Applied Mechanics Letters 10, 438-447 (2020).
  3. J. Schumann, S. Toosi, and J. Larsson, Assessment of grid anisotropy effects on large-eddy-simulation models with different length scales, AIAA J. 58, 4522-4533 (2020).
  4. S. Toosi and J. Larsson, Towards systematic grid selection in LES: Identifying the optimal spatial resolution by minimizing the solution sensitivity, Computers & Fluids 201, 104488 (2020).


  1. I. Bermejo-Moreno, J. Bodart, J. Larsson, B. Barney, J. Nichols, and S. Jones, Solving the compressible Navier-Stokes equations on up to 1.97 million cores and 4.1 trillion grid points, in SC'13: Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis (2013).