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.
    *Bryngelson, S. H., *Schäfer, F., Liu, J., & Mani, A. (2024). Fast Macroscopic Forcing Method. Journal of Computational Physics, 499, 112721. *Equal contribution.
    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.
    Sinha, A., & Bryngelson, S. H. (2024). Neural networks can be FLOP-efficient integrators of 1D oscillatory integrands. Transactions on Machine Learning Research.
    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.
    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.
    Bryngelson, S. H., Fox, R. O., & Colonius, T. (2023). Conditional moment methods for polydisperse cavitating flows. Journal of Computational Physics, 477, 111917.
    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.
    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).
    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.
    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.
    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.
    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.
    Bryngelson, S. H., Colonius, T., & Fox, R. O. (2020). QBMMlib: A library of quadrature-based moment methods. SoftwareX, 12, 100615.
    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.
    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.
    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.
    Bryngelson, S. H., Guéniat, F., & Freund, J. B. (2019). Irregular dynamics of cellular blood flow in a model microvessel. Physical Review E, 100, 012203.
    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.
    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.
    Bryngelson, S. H., & Freund, J. B. (2018). Global stability of flowing red blood cell trains. Physical Review Fluids, 3(7), 073101.
    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.
    Bryngelson, S. H., & Freund, J. B. (2016). Capsule-train stability. Physical Review Fluids, 1(3), 033201.