Publications

Journal Papers

• Blonigan, P., and Parish, E. “Evaluation of dual-weighted residual and machine learning error estimation for projection-based reduced-order models of steady partial differential equations,” Computer Methods in Applied Mechanics and Engineering, Volume 409, May 2023, 115988.
• Rizzi, F., Parish, E., Blonigan, P., and Tencer, J. “A compute-bound formulation of Galerkin model reduction for linear time-invariant dynamical systems,” Computer Methods in Applied Mechanics and Engineering, Volume 384, October 2021, 113973.
• Blonigan, P., Ray, J., and Safta, C., “Forecasting Multi-Wave Epidemics Through Bayesian Inference,” Archives of Computational Methods in Engineering, July 2021.
• Blonigan, P., Rizzi, F., Howard, M., Fike, J., and Carlberg, K., “Model Reduction for Steady Hypersonic Aerodynamics via Conservative Manifold Least-Squares Petrov–Galerkin Projection,” AIAA Journal, Vol. 59, No. 4, February 2021, pp. 658-672.
• Blonigan, P., Farazmand, M., and Sapsis, T., “Are extreme dissipation events predictable in turbulent fluid flows?” Physical Review Fluids, Vol. 4, April 2019, 044606.
• Blonigan, P., and Wang, Q., “Multiple Shooting Shadowing for Sensitivity Analysis of Chaotic Dynamical Systems,” Journal of Computational Physics, Vol. 354, February 2018, pp. 447-475.
• Blonigan, P., “Adjoint Sensitivity Analysis of Chaotic Dynamical Systems with Non-Intrusive Least Squares Shadowing,” Journal of Computational Physics, Vol. 348, November 2017, pp. 803-826.
• Blonigan, P., Wang, Q., Nielsen, E., and Diskin, B., “Least Squares Shadowing Sensitivity Analysis of Chaotic Flow around a Two-Dimensional Airfoil.” AIAA Journal, Vol. 56, No. 2, October 2017, pp. 658-672.
• Blonigan, P. and Wang, Q., “Probability density adjoint for sensitivity analysis of the Mean of Chaos,” Journal of Computational Physics, Vol. 270, August 2014, pp. 660-686.
• Blonigan, P. and Wang, Q., “Least Squares Shadowing sensitivity analysis of a modified Kuramoto-Sivashinsky equation,” Chaos, Solitons, and Fractals, Vol. 64, July 2014, pp. 16-25.
• Wang, Q., Hui, R., and Blonigan, P., “Least Squares Shadowing sensitivity analysis of chaotic limit cycle oscillations,” Journal of Computational Physics, Vol. 267, June 2014, pp. 210-224.
• Blonigan, P. and Wang, Q., “Multigrid-in-time for sensitivity analysis of chaotic dynamical systems,” Numerical Linear Algebra with Applications, Volume 21, Issue 2. March 2014.
• Wang, Q., Gomez, S., Blonigan, P., Gregory, A., and Qian, E., “Towards scalable parallel-in-time turbulent flow simulations,” Physics of Fluids, Vol. 25, 2013.

Conference Proceedings (Refereed)

• Krath, E., Blonigan, P., and Parish,E., Uncertainty Propagation of the Negative Spallart–Allmaras Turbulence Model Coefficients using Projection-based Reduced-Order Models AIAA 2023-2041. 2023.
• Ching, D., Blonigan, P.J., Rizzi, F., and Fike, J., Model Reduction of Hypersonic Aerodynamics with residual minimization techniques AIAA 2022-1247. 2022.
• Krath, E., Ching, D., and Blonigan, P.J., Efficient Sampling Methods for Machine Learning Error Models with application to Surrogates of Steady Hypersonic Flows AIAA 2022-1249. 2022.
• Arienti, M., Blonigan, P.J., Tencer, J., Rizzi, F., and Howard, M., “Projection-based model reduction for finite-element simulations of thermal protection systems.” AIAA 2021-1717. 2021.
• Blonigan, P.J., Geraci, G., Rizzi, F., and Eldred, M.S., “Towards an integrated and efficient framework for leveraging reduced order models for multifidelity uncertainty quantification.” AIAA 2020-0420. 2020.
• Blonigan, P.J., Carlberg, K.T., Rizzi, F., Howard, M., and Fike, J., “Model Reduction for hypersonic aerodynamics via conservative LSPG projection and hyper-reduction.” AIAA 2020-0104. 2020.
• Blonigan, P.J., Murman, S.M., and Towne, A., “Reducing the cost of shadowing-based adjoint sensitivity analysis for turbulent flows.” Proceedings of the 2018 Center for Turbulence Research Summer Program, Dec. 2018, pp. 185-194.
• Carton de Wiart, C., Diosady, L., Garai, A., Burgess, N., Blonigan, P., Ekelschot, D., Murman, S., “Design of a modular monolithic implicit solver for multi-physics applications”, AIAA 2018-1400. 2018.
• Murman, S., Diosady, L., and Blonigan, P., “Comparison of Transonic Buffet Simulations with Unsteady PSP Measurements for a Hammerhead Payload Fairing.” AIAA 2017-1404. 2017.
• Blonigan, P., Wang, Q., Nielsen, E., and Diskin, B., “A non-intrusive algorithm for sensitivity analysis of chaotic flow simulations.” AIAA 2017-0532. 2017.
• Blonigan, P., Fernandez, P., Murman, S., Wang, Q., Rigas, G., and Magri, L., “Towards a chaotic adjoint for LES.” Proceedings of the 2016 Center for Turbulence Research Summer Program, Dec. 2016, pp. 385-394.
• Ni, A., Blonigan, P., Chater, M.,  and Wang, Q., “Sensitivity Analysis on chaotic dynamical systems by Non-Intrusive Least Squares Shadowing (NI-LSS).” AIAA 2016-4399. 2016.
• Blonigan, P., Wang, Q., Nielsen, E., and Diskin, B., “Least Squares Shadowing Sensitivity Analysis of Chaotic Flow around a Two-Dimensional Airfoil.” AIAA 2016-0296. 2016.
• Talnikar, C., Blonigan, P., Bodart, J., and Wang, Q., “Optimization with LES – algorithms for dealing with sampling error of turbulent statistics.” AIAA 2015-1954. 2015.
• Blonigan, P. and Wang, Q., “Multiple Shooting Shadowing for Sensitivity Analysis of Chaotic Systems and Turbulent Fluid Flows.” AIAA 2015-1534. 2015.
• Talnikar, C., Blonigan, P., Bodart, J., and Wang, Q., “Parallel Optimization for LES.” Proceedings of the 2014 Center for Turbulence Research Summer Program, Dec. 2014, pp. 315-324
• Blonigan, P., Gomez, S., and Wang, Q., “Least Squares Shadowing for Sensitivity Analysis of Turbulent Fluid Flows.” AIAA 2014-1426. 2014
• Blonigan, P., Chen, R., Wang, Q., and Larrson, J., “Towards adjoint sensitivity analysis of statistics in turbulent flow simulation.” Proceedings of the 2012 Center for Turbulence Research Summer Program, Dec. 2012, pp. 229-239

Presentations

• Blonigan, P., Ching, D., Arienti, M., Rizzi, F., and Fike, J., “Least-Squares Petrov—Galerkin Reduced-Order Models for Steady Hypersonic Aerodynamics”, Presented at the 16th US National Congress on Computational Mechanics, July 2021, Online.
• Blonigan, P., Rizzi, F., Parish, E., and Tencer, J., “Pressio: A computational framework enabling projection-based model reduction for large-scale nonlinear dynamical systems”, Presented at the 2021 SIAM Conference on Computational Science and Engineering, Online.
• Rizzi, F., Blonigan, P., Parish, E., and Carlberg, K., “Pressio: A computational framework enabling projection-based model reduction for large-scale nonlinear dynamical systems”, Presented at the 2020 SIAM Annual Meeting, Online. 
• Blonigan, P.J, Carlberg, K.T., Rizzi, F., Howard, M., and Fike, J., “Least-Squares Petrov-Galerkin Reduced-Order Models for Hypersonic Flight Vehicles”, Presented at the 72^nd Annual Meeting of the APS Division of Fluid Dynamics, Seattle, WA, 2019. Abstract ID: BAPS.2019.DFD.H41.11
• Geraci, G., Blonigan, P.J., Rizzi, F., Gorodetsky, A.A., Carlberg, K.T., and Eldred, M.S., “An integrated and efficient framework for embedded Reduced Order Models for multifidelity uncertainty quantification”, Presented at the 72^nd Annual Meeting of the APS Division of Fluid Dynamics, Seattle, WA, 2019. Abstract ID: BAPS.2019.DFD.H41.5
• Blonigan, P., “Adjoint-Based Sensitivity Analysis and Error Estimation for Scale-Resolving Turbulent Flow Simulations”, Presented at the SIAM Conference on Computational Science and Engineering, Spokane, WA, 2019.
• Blonigan, P., Ekelschot, D., Garai, A., Diosady, L., and Murman, S., “Adjoint-Based Error-Estimation and Mesh Adaptation for Turbulent Flows”, Presented at the International Conference on High Order and Spectral Methods, London, UK, 2018.
• Blonigan, P., Diosady, L., Garai, A., and Murman, S., “Adjoint Sensitivity Analysis for Scale-Resolving Turbulent Flow Solvers”, Presented at the 70^th Annual Meeting of the APS Division of Fluid Dynamics, Denver, CO, 2017. Abstract ID: BAPS.2017.DFD.D31.1
• Blonigan, P., Diosady, L., Garai, A., and Murman, S., “Adjoint Sensitivity Analysis for Scale-Resolving Turbulent Flow Solvers”, Presented at the SIAM Conference on Computational Science and Engineering, Atlanta, GA, 2017.
• Blonigan, P., Fernandez, P., Murman, S., and Wang, Q., “Lyapunov Exponents and Covariant Vectors for Turbulent Flow Simulations.” Presented at the 69^th Annual Meeting of the APS Division of Fluid Dynamics, Portland, OR, 2016. Abstract ID: BAPS.2016.DFD.G38.1
• Blonigan, P., Wang, Q., Nielsen, E., and Diskin, B., “Sensitivity Analysis of Chaotic Flow around a Two-Dimensional Airfoil”.  Presented at the 68^th Annual Meeting of the APS Division of Fluid Dynamics, Boston, MA, 2015. Abstract ID: BAPS.2015.DFD.D8.7
• Blonigan, P. and Wang, Q., “Least Squares Shadowing for Adjoint Calculation of Chaotic and Turbulent PDEs”, Presented at the SIAM Conference on Computational Science and Engineering, Salt Lake City, UT, 2015.
• Blonigan, P., Talnikar, C., Bodart, J., Bose, S., Pierce, B., and Wang, Q., “Optimization of a Turbine Blade Trailing Edge using Large Eddy Simulations”.  Presented at the 67^th Annual Meeting of the APS Division of Fluid Dynamics, San Francisco, CA, 2014. Abstract ID: BAPS.2014.DFD.R2.5
• Blonigan, P., Gomez, S., and Wang, Q., “Least Squares Shadowing Sensitivity Analysis of Chaotic and Turbulent Fluid Flows”.  Presented at the 66^th Annual Meeting of the APS Division of Fluid Dynamics, Pittsburgh, PA, 2013. Abstract ID: BAPS.2013.DFD.L21.1
• Blonigan, P., Gomez, S., and Wang Q., “Towards Least Squares Sensitivity Analysis of Chaotic Fluid Flows”. Presented at the 2013 SIAM Annual Meeting, San Diego, CA.
• Blonigan, P. and Wang, Q., “New Methods for Sensitivity Analysis in Chaotic, Turbulent Fluid Flows”.  Presented at the 65^th Annual Meeting of the APS Division of Fluid Dynamics, San Diego, CA, 2012. Abstract ID: BAPS.2012.DFD.H21.7

Thesis

• Blonigan, P., “Least Squares Shadowing for sensitivity analysis of large chaotic systems and fluid flows”. PhD Thesis, Massachusetts Institute of Technology, 2016.