A Numerical Method for the Incompressible Navier-Stokes Equations Based on an Approximate Projection. - Ann S. Almgren; John B. Bell; William G. Szymczak (SIAM J. Sci. Comput., 1996)

A Cartesian Grid Projection Method for the Incompressible Euler Equations in Complex Geometries. - Ann S. Almgren; John B. Bell; Phillip Colella; Tyler Marthaler (SIAM J. Sci. Comput., 1997)

Approximate Projection Methods: Part I. Inviscid Analysis. - Ann S. Almgren; John B. Bell; William Y. Crutchfield (SIAM J. Sci. Comput., 2000)

A New Low Mach Number Approach in Astrophysics. - Ann S. Almgren; John B. Bell; Andy Nonaka; Michael Zingale (Comput. Sci. Eng., 2009)

The potential role of spatial dimension in the neutrino-driving mechanism of core-collapse supernova explosions. - Adam Burrows; Jason Nordhaus; Ann S. Almgren; John B. Bell (Comput. Phys. Commun., 2011)

Multidimensional simulations of pair-instability supernovae. - Ke-Jung Chen; Alexander Heger; Ann S. Almgren (Comput. Phys. Commun., 2011)

A Three-Dimensional, Unsplit Godunov Method for Scalar Conservation Laws. - Andy Nonaka; Sandra May; Ann S. Almgren; John B. Bell (SIAM J. Sci. Comput., 2011)

Low Mach Number Models in Computational Astrophysics. - Ann S. Almgren (SC Companion, 2012)

Optimization of geometric multigrid for emerging multi- and manycore processors. - Samuel Williams 001; Dhiraj D. Kalamkar; Amik Singh; Anand M. Deshpande; Brian van Straalen; Mikhail Smelyanskiy; Ann S. Almgren; Pradeep Dubey; John Shalf; Leonid Oliker (SC, 2012)

Numerical approaches for multidimensional simulations of stellar explosions. - Ke-Jung Chen; Alexander Heger; Ann S. Almgren (Astron. Comput., 2013)

On the Use of Higher-Order Projection Methods for Incompressible Turbulent Flow. - Ann S. Almgren; A. J. Aspden; John B. Bell; Michael L. Minion (SIAM J. Sci. Comput., 2013)

s-Step Krylov Subspace Methods as Bottom Solvers for Geometric Multigrid. - Samuel Williams 001; Mike Lijewski; Ann S. Almgren; Brian van Straalen; Erin C. Carson; Nicholas Knight; James Demmel (IPDPS, 2014)

A survey of high level frameworks in block-structured adaptive mesh refinement packages. - Anshu Dubey; Ann S. Almgren; John B. Bell; Martin Berzins; Steven R. Brandt; Greg Bryan; Phillip Colella; Daniel T. Graves; Michael Lijewski; Frank Löffler 001; Brian W. O'Shea; Erik Schnetter; et al. (J. Parallel Distributed Comput., 2014)

Influence of adaptive mesh refinement and the hydro solver on shear-induced mass stripping in a minor-merger scenario. - Wolfram Schmidt; Jochen Schulz; Luigi Iapichino; Franco Vazza; Ann S. Almgren (Astron. Comput., 2015)

Topology-Aware Performance Optimization and Modeling of Adaptive Mesh Refinement Codes for Exascale. - Cy P. Chan; John D. Bachan; Joseph P. Kenny; Jeremiah J. Wilke; Vincent E. Beckner; Ann S. Almgren; John B. Bell (COMHPC@SC, 2016)

Perilla: metadata-based optimizations of an asynchronous runtime for adaptive mesh refinement. - Tan Nguyen 001; Didem Unat; Weiqun Zhang; Ann S. Almgren; Muhammed Nufail Farooqi; John Shalf (SC, 2016)

TiDA: High-Level Programming Abstractions for Data Locality Management. - Didem Unat; Tan Nguyen 001; Weiqun Zhang; Muhammed Nufail Farooqi; Burak Bastem; George Michelogiannakis; Ann S. Almgren; John Shalf (ISC, 2016)

BoxLib with Tiling: An AMR Software Framework. - Weiqun Zhang; Ann S. Almgren; Marcus Day; Tan Nguyen 001; John Shalf; Didem Unat (CoRR, 2016)

BoxLib with Tiling: An Adaptive Mesh Refinement Software Framework. - Weiqun Zhang; Ann S. Almgren; Marcus Day; Tan Nguyen 001; John Shalf; Didem Unat (SIAM J. Sci. Comput., 2016)

Nonintrusive AMR Asynchrony for Communication Optimization. - Muhammed Nufail Farooqi; Didem Unat; Tan Nguyen 001; Weiqun Zhang; Ann S. Almgren; John Shalf (Euro-Par, 2017)

Overlapping Data Transfers with Computation on GPU with Tiles. - Burak Bastem; Didem Unat; Weiqun Zhang; Ann S. Almgren; John Shalf (ICPP, 2017)

Phase asynchronous AMR execution for productive and performant astrophysical flows. - Muhammed Nufail Farooqi; Tan Nguyen 001; Weiqun Zhang; Ann S. Almgren; John Shalf; Didem Unat (SC, 2018)

A hybrid adaptive low-Mach number/compressible method: Euler equations. - Emmanuel Motheau; Max Duarte; Ann S. Almgren; John B. Bell (J. Comput. Phys., 2018)

Asynchronous AMR on Multi-GPUs. - Muhammed Nufail Farooqi; Tan Nguyen 001; Weiqun Zhang; Ann S. Almgren; John Shalf; Didem Unat (ISC Workshops, 2019)

MAESTROeX: A Massively Parallel Low Mach Number Astrophysical Solver. - Duoming Fan; Andrew Nonaka; Ann S. Almgren; Donald E. Willcox; Alice Harpole; Michael Zingale (J. Open Source Softw., 2019)

AMReX: a framework for block-structured adaptive mesh refinement. - Weiqun Zhang; Ann S. Almgren; Vincent E. Beckner; John B. Bell; Johannes P. Blaschke; Cy P. Chan; Marcus Day; Brian Friesen; Kevin Gott; Daniel T. Graves; Maximilian Katz; Andrew Myers 001; et al. (J. Open Source Softw., 2019)

Preparing nuclear astrophysics for exascale. - Max P. Katz; Ann S. Almgren; Maria Barrios Sazo; Kiran Eiden; Kevin Gott; Alice Harpole; Jean M. Sexton; Donald E. Willcox; Weiqun Zhang; Michael Zingale (SC, 2020)

CASTRO: A Massively Parallel Compressible Astrophysics Simulation Code. - Ann S. Almgren; Maria Sazo; John B. Bell; Alice Harpole; Maximilian Katz; Jean M. Sexton; Donald E. Willcox; Weiqun Zhang; Michael Zingale (J. Open Source Softw., 2020)

Feature Analysis, Tracking, and Data Reduction: An Application to Multiphase Reactor Simulation MFiX-Exa for In-Situ Use Case. - Ayan Biswas; James P. Ahrens; Soumya Dutta; Jordan M. Musser; Ann S. Almgren; Terece L. Turton (Comput. Sci. Eng., 2021)

AMReX: Block-structured adaptive mesh refinement for multiphysics applications. - Weiqun Zhang; Andrew Myers 001; Kevin Gott; Ann S. Almgren; John B. Bell (Int. J. High Perform. Comput. Appl., 2021)

Massively parallel finite difference elasticity using block-structured adaptive mesh refinement with a geometric multigrid solver. - Brandon Runnels; Vinamra Agrawal; Weiqun Zhang; Ann S. Almgren (J. Comput. Phys., 2021)

Nyx: A Massively Parallel AMR Code for Computational Cosmology. - Jean M. Sexton; Zarija Lukic; Ann S. Almgren; Christopher S. Daley; Brian Friesen; Andrew Myers 001; Weiqun Zhang (J. Open Source Softw., 2021)

Porting WarpX to GPU-accelerated platforms. - Andrew Myers 001; Ann S. Almgren; Ligia Diana Amorim; John B. Bell; Luca Fedeli; Lixin Ge; Kevin Gott; David P. Grote; Mark J. Hogan; Axel Huebl; Revathi Jambunathan; Rémi Lehe; et al. (Parallel Comput., 2021)

In Situ Data Summaries for Flexible Feature Analysis in Large-Scale Multiphase Flow Simulations. - Soumya Dutta; Terece L. Turton; David H. Rogers 001; Jordan M. Musser; James P. Ahrens; Ann S. Almgren (CoRR, 2022)

MFIX-Exa: A path toward exascale CFD-DEM simulations. - Jordan M. Musser; Ann S. Almgren; William D. Fullmer; Oscar Antepara; John B. Bell; Johannes P. Blaschke; Kevin Gott; Andrew Myers 001; Roberto Porcù; Deepak Rangarajan; Michele Rosso; Weiqun Zhang; et al. (Int. J. High Perform. Comput. Appl., 2022)

A weighted state redistribution algorithm for embedded boundary grids. - Andrew Giuliani; Ann S. Almgren; John B. Bell; Marsha J. Berger; Marc T. Henry de Frahan; Deepak Rangarajan (J. Comput. Phys., 2022)

A coupled discontinuous Galerkin-Finite Volume framework for solving gas dynamics over embedded geometries. - Vincenzo Gulizzi; Ann S. Almgren; John B. Bell (J. Comput. Phys., 2022)

In situ feature analysis for large-scale multiphase flow simulations. - Soumya Dutta; Terece L. Turton; David H. Rogers 001; Jordan M. Musser; James P. Ahrens; Ann S. Almgren (J. Comput. Sci., 2022)

From Compact Plasma Particle Sources to Advanced Accelerators with Modeling at Exascale. - Axel Huebl; Rémi Lehe; Edoardo Zoni; Olga Shapoval; Ryan T. Sandberg; Marco Garten; Arianna Formenti; Revathi Jambunathan; Prabhat Kumar; Kevin Gott; Andrew Myers 001; Weiqun Zhang; et al. (CoRR, 2023)

A cast of thousands: How the IDEAS Productivity project has advanced software productivity and sustainability. - Lois Curfman McInnes; Michael A. Heroux; David E. Bernholdt; Anshu Dubey; Elsa Gonsiorowski; Rinku Gupta; Osni Marques; J. David Moulton; Hai Ah Nam; Boyana Norris; Elaine M. Raybourn; James M. Willenbring; et al. (CoRR, 2023)

PeleC: An adaptive mesh refinement solver for compressible reacting flows. - Marc T. Henry de Frahan; Jon S. Rood; Marcus S. Day; Hariswaran Sitaraman; Shashank Yellapantula; Bruce A. Perry; Ray W. Grout; Ann S. Almgren; Weiqun Zhang; John B. Bell; Jacqueline H. Chen (Int. J. High Perform. Comput. Appl., 2023)

A consistent adaptive level set framework for incompressible two-phase flows with high density ratios and high Reynolds numbers. - Yadong Zeng; Han Liu; Qiang Gao; Ann S. Almgren; Amneet Pal Singh Bhalla; Lian Shen (J. Comput. Phys., 2023)

ERF: Energy Research and Forecasting. - Ann S. Almgren; Aaron M. Lattanzi; Riyaz Haque; Pankaj Jha; Branko Kosovic; Jeffrey D. Mirocha; Bruce A. Perry; Eliot W. Quon; Michael Sanders; David Wiersema; Donald E. Willcox; Xingqiu Yuan; et al. (J. Open Source Softw., 2023)

The Pele Simulation Suite for Reacting Flows at Exascale. - Marc T. Henry de Frahan; Lucas Esclapez; Jon S. Rood; Nicholas T. Wimer; Paul Mullowney; Bruce A. Perry; Landon Owen; Hariswaran Sitaraman; Shashank Yellapantula; Malik Hassanaly; Mohammad J. Rahimi; Michael James Martin; et al. (PP, 2024)

AMReX and pyAMReX: Looking Beyond ECP. - Andrew Myers 001; Weiqun Zhang; Ann S. Almgren; Thierry Antoun; John B. Bell; Axel Huebl; Alexander Sinn (CoRR, 2024)

Comparison of adaptive mesh refinement techniques for numerical weather prediction. - Daniel S. Abdi; Ann S. Almgren; Francis X. Giraldo; Isidora Jankov (CoRR, 2024)

A Hybrid Algorithm for Systems of Non-interacting Particles. - Ana Djurdjevac; Ann S. Almgren; John B. Bell (CoRR, 2024)

A Cast of Thousands: How the IDEAS Productivity Project Has Advanced Software Productivity and Sustainability. - Lois Curfman McInnes; Michael A. Heroux; David E. Bernholdt; Anshu Dubey; Elsa Gonsiorowski; Rinku Gupta; Osni Marques; J. David Moulton; Hai Ah Nam; Boyana Norris; Elaine M. Raybourn; James M. Willenbring; et al. (Comput. Sci. Eng., 2024)

AMReX and pyAMReX: Looking beyond the exascale computing project. - Andrew Myers 001; Weiqun Zhang; Ann S. Almgren; Thierry Antoun; John B. Bell; Axel Huebl; Alexander Sinn (Int. J. High Perform. Comput. Appl., 2024)

A new re-redistribution scheme for weighted state redistribution with adaptive mesh refinement. - Isabel Barrio Sanchez; Ann S. Almgren; John B. Bell; Marc T. Henry de Frahan; Weiqun Zhang (J. Comput. Phys., 2024)

Implementation of a Mesh refinement algorithm into the quasi-static PIC code QuickPIC. - Q. Su; F. Li; W. An; Viktor K. Decyk; Y. Zhao; L. Hildebrand; T. N. Dalichaouch; S. Zhou; Emilly Pereira Alves; Ann S. Almgren; Warren B. Mori (J. Comput. Phys., 2025)

REMORA: Regional Modeling of Oceans Refined Adaptively (built on AMReX). - Hannah Klion; Robert Hetland; Jean M. Sexton; Ann S. Almgren; Iulian R. Grindeanu; Kyle Hinson; Vijay Mahadevan (J. Open Source Softw., 2025)