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## Cluster of Monodisperse Particles

IAMReX: Parallel solver for particle-resolved simulations on multi-level grids

Image courtesy of Xuzhu Li and Zhengping Zhu, Research Center for Astronomical Computing, Zhejiang Laboratory, Hangzhou 311100, China.

## Thunderstorm in ERF

Three-dimensional thunderstorm simulation

Video and Image courtesy: Mahesh Natarajan, Aaron Lattanzi and Ann Almgren, LBNL; Eliot Quon, NREL.

## Flow Boiling as an Efficient Cooling Mechanism

Flash-X + AMReX enhanced multiphase solver

The simulation here shows the bubble dynamics and was performed using Flash-X ( https://www.sciencedirect.com/science/article/pii/S2352711022001030) + AMReX. Integration with AMReX has significantly improved the performance of incompressible multiphase problems within Flash-X compared to its predecessor FLASH ( https://www.sciencedirect.com/science/article/pii/S030193221930165X). In our recent article we talk about the performance improvements in the Poisson solver that has made this possible ( https://arxiv.org/abs/2306.10174).

Image courtesy of Akash Vijaykumar Dhruv (ANL).

## Hose instability in a plasma accelerator

A quasi-static particle-in-cell method for plasma wakefield acceleration

This simulation was performed on GPU by the AMReX-powered code HiPACE++, providing orders of magnitude speedup compared to CPU counterpart [S. Diederichs et al. “HiPACE++: a portable, 3D quasi-static particle-in-cell code.” Computer Physics Communications 278: 108421 (2022)].

Image courtesy of Maxence Thévenet and Ángel Ferran Pousa, DESY (Hamburg, Germany), using the VisualPIC rendering tool.

## Moving bodies in compressible flow

A moving embedded boundary approach for the compressible Navier-Stokes equations

"A moving embedded boundary approach for the compressible Navier-Stokes equations in a block-structured adaptive refinement framework", Mahesh Natarajan, Ray Grout, Weiqun Zhang, and Marc Day, Journal of Computational Physics, 11315, 2022.

Image Courtesy: Mahesh Natarajan, Ray Grout, Weiqun Zhang, and Marc Day

## Solid composite propellant deflagration

Simulation of AP/HTPB burn in Alamo

A diffuse interface method for solid-phase modeling of regression behavior in solid composite propellants, B Kanagarajan, JM Quinlan, B Runnels, Combustion and Flame, 2022

Phase field modeling of solid phase AP/HTPB to determine the effect of particle distribution on regression rate, B Kanagarjan, JM Quinlan, B Runnels, AIAA SciTech, San Diego, CA, January 2022

Image courtesy of Brandon Runnels, Solid Mechanics Research Group, University of Colorado, Colorado Springs, CO.

## Stokes Breaking Wave

Incompressible multiphase flow with high density ratio and high Reynolds number

Zeng, Yadong, et al. "A parallel cell-centered adaptive level set framework for efficient simulation of two-phase flows with subcycling and non-subcycling." Journal of Computational Physics 448 (2022): 110740.

Image courtesy of Yadong Zeng and Lian Shen, Fluid Mechanics Lab, University of Minnesota.

## Self-propelled swimming eel

A DLM immersed boundary method framework for solving fluid-structure interaction problems

Yadong Zeng, Amneet Pal Singh Bhalla, and Lian Shen. "A subcycling/non- subcycling time advancement scheme-based DLM immersed boundary method framework for solving single and multiphase fluid–structure interaction problems on dynamically adaptive grids." Computers and Fluids 238 (2022): 105358.

Image courtesy of Yadong Zeng and Lian Shen, Fluid Mechanics Lab, University of Minnesota.

## Atomization of a Liquid Jet

All-Mach, Compressible Multiphase Flow

A Robust All-Mach Multiphase Flow Algorithm for High-Fidelity Simulations of Compressible Atomization, M.B. Kuhn and O. Desjardins, ILASS-Americas 30th Annual Conference on Liquid Atomization and Spray Systems, Tempe, AZ, May 2019.

An all-Mach multiphase flow solver using block-structured AMR, M. Natarajan, R. Chiodi, M. Kuhn and O. Desjardins, ILASS-Americas 30th Annual Conference on Liquid Atomization and Spray Systems, Tempe, AZ, May 2019.

Image courtesy M. Natarajan, R. Chiodi, M. B. Kuhn, O. Desjardins, Computational Thermo-Fluids Laboratory, Cornell University.

## Microstructure Evolution Using Solid Mechanics

Simulation of microstructure evolution in a polycrystalline solid using Alamo

Image courtesy of Brandon Runnels, Solid Mechanics Research Group, University of Colorado, Colorado Springs, CO.

## Detonation Propagation and Failure

Modeling Compressible Reactive Gas Dynamics

Image courtesy Brayden Roque, Hsiao-Chi Li, and Ryan Houim

## Three-dimensional Hydrogen Jet

Detailed adaptive simulation of a burning Hydrogen jet with RNS

*A Fourth-Order Adaptive Mesh Refinement Algorithm for the Multicomponent, Reacting Compressible Navier-Stokes Equations*, M. Emmett, E. Motheau, W. Zhang, M. Minion and J. B. Bell,*submitted for publication*, 2018.[arxiv]

## Yield-stress fluids

Capturing transient behaviour of strain-rate-dependent rheological models

*Time-dependent viscoplastic fluid flow simulations in two and three dimensions*, K. Sverdrup, N. Nikiforakis and A. Almgren, in preparation, 2018, arXiv:1803.00417

## Dimethyl Ether Jet

Detailed adaptive simulation of a burning Dimethyl Ether jet with RNS

*A Fourth-Order Adaptive Mesh Refinement Algorithm for the Multicomponent, Reacting Compressible Navier-Stokes Equations*, M. Emmett, E. Motheau, W. Zhang, M. Minion and J. B. Bell,*submitted for publication*, 2018.[arxiv]

## Laser Wakefield Acceleration

Modeling the interaction between plasma and electrons

Image courtesy Maxence Thévenet & the WarpX team.

## Shock Reflection

Compressible Gas Dynamics with AMR Embedded Boundaries

**amrex/Tutorials/EB/CNS/Exec/ShockRef/**.

## Black hole Collisions

Code Generation and Simulation of the Spacetime Evolution of Black Hole Mergers

**STvAR**package, designed for converting symbolic/tensorial forms to executable code for AMReX.

The STvAR package was inspired by Professor Zach Etienne and the
** NRPy+ ** project at West Virginia University.

Videos and Images courtesy of Adam Peterson and Don Wilcox.

## Black Hole Advertising

Simulation of Large Systems of Black Holes with Heavily Designed Initial Conditions

The video shows the simulation of
a very large system of black holes, starting from heavily designed initial conditions using
the **
STvAR ** package. The entire video is run in reverse.

Videos and Images courtesy of Adam Peterson and Don Wilcox.