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)

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)

AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications. - Daoce Wang; Jesus Pulido; Pascal Grosset; Jiannan Tian; Sian Jin; Houjun Tang; Jean M. Sexton; Sheng Di; Kai Zhao 008; Bo Fang 002; Zarija Lukic; Franck Cappello; et al. (SC, 2023)

SUNDIALS Time Integrators for Exascale Applications with Many Independent ODE Systems. - Cody J. Balos; Marc Day; Lucas Esclapez; Anne Felden; David J. Gardner; Malik Hassanaly; Daniel R. Reynolds; Jon S. Rood; Jean M. Sexton; Nicholas T. Wimer; Carol S. Woodward (CoRR, 2024)

SUNDIALS time integrators for exascale applications with many independent systems of ordinary differential equations. - Cody J. Balos; Marcus Day; Lucas Esclapez; Anne M. Felden; David J. Gardner; Malik Hassanaly; Daniel R. Reynolds; Jon S. Rood; Jean M. Sexton; Nicholas T. Wimer; Carol S. Woodward (Int. J. High Perform. Comput. Appl., 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)