Coupled adjoint‐based sensitivities in large‐displacement fluid‐structure interaction using algorithmic differentiation von Sanchez, R., Albring, T., Palacios, R., Gauger, N. R., Economon, T. D., Alonso, J. J.

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Shock interactions in inviscid air and CO2–N2 flows in thermochemical non-equilibrium von Garbacz, C., Maier, W. T., Scoggins, J. B., Economon, T. D., Magin, T., Alonso, J. J., Fossati, M.

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CUPyDO - An integrated Python environment for coupled fluid-structure simulations von Thomas, D., Cerquaglia, M.L., Boman, R., Economon, T.D., Alonso, J.J., Dimitriadis, G., Terrapon, V.E.

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Shock interactions in inviscid air and $$\hbox {CO}_2$$–$$\hbox {N}_2$$ flows in thermochemical non-equilibrium von Garbacz, C., Maier, W. T., Scoggins, J. B., Economon, T. D., Magin, T., Alonso, J. J., Fossati, M.

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Coupled adjoint‐based sensitivities in large‐displacement fluid‐structure interaction using algorithmic differentiation von Sanchez, R, Albring, T, Palacios, R, Gauger, NR, Economon, TD, Alonso, JJ

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Towards a Fluid-Structure Interaction solver for Problems with Large Deformations within the Open-Source SU2 Suite von Sanchez, R, Palacios, R, Economon, TD, Kline, HL, Alonso, JJ, Palacios, F

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Assessment of the fluid-structure interaction capabilities for aeronautical applications of the open-source solver SU2 von Sanchez, R, Kline, HL, Thomas, D, Variyar, A, Righi, M, Economon, TD, Alonso, JJ, Palacios, R, Dimitriadis, G, Terrapon, V

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Simulation and Adjoint-Based Design for Variable Density Incompressible Flows with Heat Transfer von Economon, Thomas D

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SU2: An Open-Source Suite for Multiphysics Simulation and Design von Economon, Thomas D, Palacios, Francisco, Copeland, Sean R, Lukaczyk, Trent W, Alonso, Juan J

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Unsteady Continuous Adjoint Approach for Aerodynamic Design on Dynamic Meshes von Economon, Thomas D, Palacios, Francisco, Alonso, Juan J

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Automatic adjoint-based design optimization for laminar combustion applications von Mayer, Daniel, Beishuizen, Nijso, Pitsch, Heinz, Economon, Thomas D., Carrigan, Travis

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Efficient Airframe Noise Reduction Framework via Adjoint-Based Shape Optimization von Zhou, Beckett Y, Albring, Tim, Gauger, Nicolas R, da Silva, Carlos R, Economon, Thomas D, Alonso, Juan J

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A platform for brain-wide imaging and reconstruction of individual neurons von Economo, Michael N, Clack, Nathan G, Lavis, Luke D, Gerfen, Charles R, Svoboda, Karel, Myers, Eugene W, Chandrashekar, Jayaram

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Discrete adjoint methodology for general multiphysics problems: A modular and efficient algorithmic outline with implementation in an open-source simulation software von Burghardt, Ole, Gomes, Pedro, Kattmann, Tobias, Economon, Thomas D., Gauger, Nicolas R., Palacios, Rafael

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Performance optimizations for scalable implicit RANS calculations with SU2 von Economon, Thomas D., Mudigere, Dheevatsa, Bansal, Gaurav, Heinecke, Alexander, Palacios, Francisco, Park, Jongsoo, Smelyanskiy, Mikhail, Alonso, Juan J., Dubey, Pradeep

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A robust, agnostic molecular biosignature based on machine learning von Cleaves, 2nd, H James, Hystad, Grethe, Prabhu, Anirudh, Wong, Michael L, Cody, George D, Economon, Sophia, Hazen, Robert M

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Discrete adjoint methodology for general multiphysics problems von Burghardt Ole, Gomes, Pedro, Kattmann Tobias, Economon, Thomas D, Gauger, Nicolas R, Palacios, Rafael

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Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction von Belbute-Peres, Filipe de Avila, Economon, Thomas D, Kolter, J. Zico

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CLOUD-BASED FRAMEWORK FOR ANALYSIS USING ACCELERATORS von Economon, Thomas D, Mara, Michael Thomas, Lango, Jason Ansel, Alonso, Juan José, Saito, Yasushi

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A CLOUD-BASED FRAMEWORK FOR ANALYSIS USING ACCELERATORS von LANGO, Jason Ansel, ECONOMON, Thomas D, MARA, Michael Thomas, ALONSO, Juan Jose, SAITO, Yasushi

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