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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
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Portfolio item number 2
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publications
Planar potential flow on Cartesian grids
Published in Journal of Fluid Mechanics, 2022
Recommended citation: Beckers, D., Eldredge, J.D. (2022). "Planar potential flow on Cartesian grids." Journal of Fluid Mechanics. 941: A19.
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Wind tunnel effects on gust-interaction simulations
Published in Theoretical and Computational Fluid Dynamics, 2023
Recommended citation: Beckers, D., Eldredge, J.D. (2023). "Wind tunnel effects on gust-interaction simulations." Theor. Comput. Fluid Dyn.. 37: 533–548.
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Deep reinforcement learning of airfoil pitch control in a highly disturbed environment using partial observations
Published in Physical Review Fluids, 2024
Recommended citation: Beckers, D., Eldredge, J.D. (2024). "Deep reinforcement learning of airfoil pitch control in a highly disturbed environment using partial observations." Phys. Rev. Fluids. 9(9): 093902.
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Model-Based Reinforcement Learning for Control of Strongly Disturbed Unsteady Aerodynamic Flows
Published in AIAA Journal, 2025
Recommended citation: Liu, Z., Beckers, D., Eldredge, J.D. (2025). "Model-Based Reinforcement Learning for Control of Strongly Disturbed Unsteady Aerodynamic Flows." AIAA Journal. 63(10): 4105-4125.
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A High-Fidelity Simulation Framework for Turbulent Flows with Complex (Metamaterial) Structures
Published in AIAA SCITECH 2026 Forum, 2026
Recommended citation: Beckers, D., Balasubramanian, S., Lin, C.-T., Goza, A., Bae, H.J. (2026). "A High-Fidelity Simulation Framework for Turbulent Flows with Complex (Metamaterial) Structures." AIAA SCITECH 2026 Forum. AIAA 2026-2622.
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Improved accuracy of the discrete immersed boundary formulation with regularized delta functions and a well-conditioned form of its projection-based solution
Under review, 2026
Recommended citation: Beckers, D., Bae, H.J., Goza, A. (2026). "Improved accuracy of the discrete immersed boundary formulation with regularized delta functions and a well-conditioned form of its projection-based solution." Under review.
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talks
A computationally-augmented wind tunnel with irrotational gust generation for low-speed aerodynamics
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Deep reinforcement learning of airfoil pitch control in transverse freestream disturbances
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Deep reinforcement learning of airfoil pitch control in transverse freestream disturbances
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Improving the conditioning and accuracy of the projection-based immersed boundary methods
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A High-Fidelity Simulation Framework for Turbulent Flows with Complex (Metamaterial) Structures
Published:
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.
