Publications using jCODE

When referencing jCODE, please consider citing the following papers where relevant:

Combustion:

• Capecelatro, J., Bodony, D. J., & Freund, J. B. (2019). Adjoint-based sensitivity and ignition threshold mapping in a turbulent mixing layer. Combustion Theory and Modelling, 23(1), 147-179.
• Kord, A., & Capecelatro, J. (2023). A discrete-adjoint framework for optimizing high-fidelity simulations of turbulent reacting flows. Proceedings of the Combustion Institute, 39(4), 5375-5384.

Particle-laden flows:

• Shallcross, G. S., & Capecelatro, J. (2018). A parametric study of particle-laden shock tubes using an Eulerian-Lagrangian framework. In 2018 AIAA Aerospace Sciences Meeting (p. 2080).
• Buchta, D. A., Shallcross, G., & Capecelatro, J. (2019). Sound and turbulence modulation by particles in high-speed shear flows. Journal of Fluid Mechanics, 875, 254-285.
• Yao, Y., Shallcross, G. S., Ni, R., Kim, T., Mehta, M., Rabinovitch, J., & Capecelatro, J. (2020). The dynamics of inertial particles in under-expanded jets: A numerical study. In AIAA Scitech 2020 Forum (p. 1327).
• Shallcross, G. S., Fox, R. O., & Capecelatro, J. (2020). A volume-filtered description of compressible particle-laden flows. International Journal of Multiphase Flow, 122, 103138.
• Patel, M., & Capecelatro, J. (2022). A high-order low-dissipation Euler–Lagrange method for compressible gas-particle flows. In 11th International Conference on Computational Fluid Dynamics (pp. 1-14).
• Khalloufi, M., & Capecelatro, J. (2023). Drag force of compressible flows past random arrays of spheres. International Journal of Multiphase Flow, 165, 104496.
• Osnes, A. N., Vartdal, M., Khalloufi, M., Capecelatro, J., & Balachandar, S. (2023). Comprehensive quasi-steady force correlations for compressible flow through random particle suspensions. International Journal of Multiphase Flow, 165, 104485.

Immersed boundary methods:

• Shallcross, G. S., & Capecelatro, J. (2022). An explicit characteristic-based immersed boundary method for compressible flows. Journal of Computational Physics, 449, 110804.

Adjoint-based sensitivity/optimization:

• Kord, A., & Capecelatro, J. (2019). Optimal perturbations for controlling the growth of a Rayleigh–Taylor instability. Journal of Fluid Mechanics, 876, 150-185.
• Kord, A., & Capecelatro, J. (2023). A discrete-adjoint framework for optimizing high-fidelity simulations of turbulent reacting flows. Proceedings of the Combustion Institute, 39(4), 5375-5384.

Other:

• Kord, A., & Capecelatro, J. (2023). Adaptive energy stable artificial dissipation for preserving scalar boundedness in turbulent flows. Computers & Fluids, 254, 105776.