Archival Publications

  1. Song, Z., Deaton, R., Gard, B., & Bryngelson, S. H. (2024). Incompressible Navier–Stokes solve on noisy quantum hardware via a hybrid quantum–classical scheme. arXiv: 2406.00280.
  2. Kocherla, S., Adams, A., Song, Z., Alexeev, A., & Bryngelson, S. H. (2024). A two-circuit approach to reducing quantum resources for the quantum lattice Boltzmann method. arXiv: 2401.12248.
  3. Liu, J., Schäfer, F., Bryngelson, S. H., Zaki, T. A., & Mani, A. (2023). Targeted computation of nonlocal closure operators via an adjoint-based macroscopic forcing method. arXiv: 2310.08763.
  4. Chrit, F. E., Kocherla, S., Gard, B., Dumitrescu, E. F., Alexeev, A., & Bryngelson, S. H. (2023). Fully quantum algorithm for lattice Boltzmann methods with application to partial differential equations. arXiv: 2305.07148.
  1.   
    *Bryngelson, S. H., *Schäfer, F., Liu, J., & Mani, A. (2024). Fast Macroscopic Forcing Method. Journal of Computational Physics, 499, 112721. *Equal contribution.
  2.   
    Bati, A., & Bryngelson, S. H. (2024). RoseNNa: A performant, portable library for neural network inference with application to computational fluid dynamics. Computer Physics Communications, 296, 109052.
  3.   
    Sinha, A., & Bryngelson, S. H. (2024). Neural networks can be FLOP-efficient integrators of 1D oscillatory integrands. Transactions on Machine Learning Research.
  4.   
    Radkhakrishnan, A., Le Berre, H., Wilfong, B., Spratt, J.-S., Rodriguez Jr., M., Colonius, T., & Bryngelson, S. H. (2024). Method for portable, scalable, and performant GPU-accelerated simulation of multiphase compressible flow. Computer Physics Communications, 302, 109238.
  5.   
    Firouznia, M., Bryngelson, S. H., & Saintillan, D. (2023). A spectral boundary integral method for simulating electrohydrodynamic flows in viscous drops. Journal of Computational Physics, 489, 112248.
  6.   
    Bryngelson, S. H., Fox, R. O., & Colonius, T. (2023). Conditional moment methods for polydisperse cavitating flows. Journal of Computational Physics, 477, 111917.
  7.   
    Panchal, A., Bryngelson, S. H., & Menon, S. (2023). A seven-equation diffused interface method for resolved multiphase flows. Journal of Computational Physics, 475, 111870.
  8. Zeng, Q., Kothari, Y., Bryngelson, S. H., & Schäfer, F. (2023). Competitive physics informed networks. International Conference on Learning Representations (ICLR). arXiv:2204.11144.
  9. Elwasif, W., Bastrakov, S., Bryngelson, S. H., Bussmann, M., Chandrasekaran, S., Ciorba, F., Clark, M. A., Debus, A., Godoy, W., Hagerty, N., Hammond, J., Hardy, D., Harris, J. A., Hernandez, O., Joo, B., Keller, S., Kent, P., Le Berre, H., Lebrun-Grandie, D., MacCarthy, E., Vergara, V. G. M., Messer, B., Miller, R., Oral, S., Piccinali, J.-G., Radkhakrishnan, A., Simsek, O., Spiga, F., Steiniger, K., Stephan, J., Stone, J. E., Trott, C., Widera, R., & Young, J. (2023). Early application experiences on a modern GPU-accelerated Arm-based HPC platform. HPC Asia ’23.
  10.   
    Charalampopoulos, A., Bryngelson, S. H., Colonius, T., & Sapsis, T. P. (2022). Hybrid quadrature moment method for accurate and stable representation of non-Gaussian processes and their dynamics. Philosophical Transactions of the Royal Society A, 380(2229).
  11.   
    Spratt, J.-S., Rodriguez, M., Schmidmayer, K., Bryngelson, S. H., Yang, J., Franck, C., & Colonius, T. (2021). Characterizing viscoelastic materials via ensemble-based data assimilation of bubble collapse observations. Journal of the Mechanics and Physics of Solids, 152, 104455.
  12.   
    Bryngelson, S. H., Schmidmayer, K., Coralic, V., Maeda, K., Meng, J., & Colonius, T. (2021). MFC: An open-source high-order multi-component, multi-phase, and multi-scale compressible flow solver. Computer Physics Communications, 266, 107396.
  13.   
    Schmidmayer, K., Bryngelson, S. H., & Colonius, T. (2020). An assessment of multicomponent flow models and interface capturing schemes for spherical bubble dynamics. Journal of Computational Physics, 402, 109080.
  14.   
    Bryngelson, S. H., Charalampopoulos, A., Sapsis, T. P., & Colonius, T. (2020). A Gaussian moment method and its augmentation via LSTM recurrent neural networks for the statistics of cavitating bubble populations. International Journal of Multiphase Flow, 127, 103262.
  15.   
    Bryngelson, S. H., Colonius, T., & Fox, R. O. (2020). QBMMlib: A library of quadrature-based moment methods. SoftwareX, 12, 100615.
  16.   
    Trummler, T., Bryngelson, S. H., Schmidmayer, K., Schmidt, S. J., Colonius, T., & Adams, N. A. (2020). Near-surface dynamics of a gas bubble collapsing above a crevice. Journal of Fluid Mechanics, 899, A16.
  17.   
    Bryngelson, S. H., & Colonius, T. (2020). Simulation of humpback whale bubble-net feeding models. Journal of the Acoustical Society of America, 147(2), 1126–1135.
  18.   
    Bryngelson, S. H., Schmidmayer, K., & Colonius, T. (2019). A quantitative comparison of phase-averaged models for bubbly, cavitating flows. International Journal of Multiphase Flow, 115, 137–143.
  19.   
    Bryngelson, S. H., Guéniat, F., & Freund, J. B. (2019). Irregular dynamics of cellular blood flow in a model microvessel. Physical Review E, 100, 012203.
  20.   
    Bryngelson, S. H., & Freund, J. B. (2019). Non-modal Floquet stability of a capsule in large amplitude oscillatory extension. European Journal of Mechanics B/Fluids, 77, 171–176.
  21.   
    Bryngelson, S. H., & Freund, J. B. (2018). Floquet stability analysis of capsules in viscous shear flow. Joural of Fluid Mechanics, 852, 663–677.
  22. Bryngelson, S. H., Pantano, C., Bodony, D., & Freund, J. B. (2018). Adjoint-based sensitivity for flows with shocks. Technical Report, XPACC.
  23.   
    Bryngelson, S. H., & Freund, J. B. (2018). Global stability of flowing red blood cell trains. Physical Review Fluids, 3(7), 073101.
  24.   
    Bryngelson, S. H., & Freund, J. B. (2016). Buckling and its effect on the confined flow of a model capsule suspension. Rheologica Acta, 55(6), 451–464.
  25.   
    Bryngelson, S. H., & Freund, J. B. (2016). Capsule-train stability. Physical Review Fluids, 1(3), 033201.