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High-fidelity simulations of high-speed, compressible flows require accurately capturing complex features for precise results. AMReX - an exascale, block-structured adaptive mesh refinement (AMR) framework, enables high-resolution simulations for a range of applications. This talk explores two key challenges in high-speed flows: moving bodies and liquid-gas flows. For moving bodies, a ghost-cell method is developed within the Compressible Navier-Stokes (CNS) framework of AMReX to compute fluxes on moving embedded boundary (EB) faces. A third-order least-squares formulation improves wall velocity gradient accuracy, enhancing skin friction coefficient estimation. The method is validated using inviscid and viscous test cases. For liquid-gas flows, an all-Mach multiphase algorithm solves the compressible flow equations using an unsplit volume-of-fluid (VOF) method with piecewise linear interface calculation (PLIC) for liquid-gas interface reconstruction. Simulations include a liquid jet in supersonic crossflow and spray atomization with acoustic excitation.
