## Journal Papers

- Rizzi, F., Blonigan P., and Carlberg, K., “Pressio: Enabling projection-based model reduction for large-scale nonlinear dynamical systems” Submitted to SIAM Journal of Computational Science, February 2020.
- 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., 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, pp. 658-672.
- 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. 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)

- 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

- 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.*(Talk starts at 1:42:48). - 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*2019^{nd }Annual Meeting of the APS Division of Fluid Dynamics, Seattle, WA,*.*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*2019^{nd }Annual Meeting of the APS Division of Fluid Dynamics, Seattle, WA,*.*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*2017^{th}Annual Meeting of the APS Division of Fluid Dynamics, Denver, CO,*.*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*2016^{th}Annual Meeting of the APS Division of Fluid Dynamics, Portland, OR,*.*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*2015^{th}Annual Meeting of the APS Division of Fluid Dynamics, Boston, MA,*.*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*2014^{th}Annual Meeting of the APS Division of Fluid Dynamics, San Francisco, CA,*.*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*2013^{th}Annual Meeting of the APS Division of Fluid Dynamics, Pittsburgh, PA,*.*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*2012^{th}Annual Meeting of the APS Division of Fluid Dynamics, San Diego, CA,*.*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.