Research and Implement of Classification Algorithm on Web Text Mining. - Shiqun Yin; Gang Wang; Yuhui Qiu; Weiqun Zhang (SKG, 2007)

Numerical solutions of linear and nonlinear singular perturbation problems. - Tzu-Chu Lin; David H. Schultz; Weiqun Zhang (Comput. Math. Appl., 2008)

Software Design Space Exploration for Exascale Combustion Co-design. - Cy P. Chan; Didem Unat; Michael Lijewski; Weiqun Zhang; John B. Bell; John Shalf (ISC, 2013)

ExaSAT: An exascale co-design tool for performance modeling. - Didem Unat; Cy P. Chan; Weiqun Zhang; Samuel Williams 001; John Bachan; John B. Bell; John Shalf (Int. J. High Perform. Comput. Appl., 2015)

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)

Experiences of Applying One-Sided Communication to Nearest-Neighbor Communication. - Hongzhang Shan; Samuel Williams 001; Yili Zheng; Weiqun Zhang; Bei Wang 002; Stéphane Ethier; Zhengji Zhao (PAW@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)

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

Research on Hybrid Wind Speed Prediction System Based on Artificial Intelligence and Double Prediction Scheme. - Ying Nie; He Bo; Weiqun Zhang; Haipeng Zhang (Complex., 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)

Experiences Supporting DPC++ in AMReX. - Sravani Konda; Dunni Aribuki; Weiqun Zhang; Kevin Gott; Christopher Lishka (IWOCL, 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)

Pushing the Frontier in the Design of Laser-Based Electron Accelerators with Groundbreaking Mesh-Refined Particle-In-Cell Simulations on Exascale-Class Supercomputers. - Luca Fedeli; Axel Huebl; France Boillod-Cerneux; Thomas Clark; Kevin Gott; Conrad Hillairet; Stephan Jaure; Adrien Leblanc; Rémi Lehe; Andrew Myers 001; Christelle Piechurski; Mitsuhisa Sato; et al. (SC, 2022)

HiPACE++: A portable, 3D quasi-static particle-in-cell code. - Severin Diederichs; Carlo Benedetti; Axel Huebl; Rémi Lehe; Andrew Myers 001; Alexander Sinn; Jean-Luc Vay; Weiqun Zhang; Maxence Thévenet (Comput. Phys. Commun., 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 moving embedded boundary approach for the compressible Navier-Stokes equations in a block-structured adaptive refinement framework. - Mahesh Natarajan; Ray W. Grout; Weiqun Zhang; Marcus S. Day (J. Comput. Phys., 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)

Particle-in-Cell Simulations of Relativistic Magnetic Reconnection with Advanced Maxwell Solver Algorithms. - Hannah Klion; Revathi Jambunathan; Michael E. Rowan; Eloise Yang; Donald E. Willcox; Jean-Luc Vay; Rémi Lehe; Andrew Myers 001; Axel Huebl; Weiqun Zhang (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)

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)

PeleLMeX: an AMR Low Mach Number Reactive Flow Simulation Code without level sub-cycling. - Lucas Esclapez; Marc Day; John Bell; Anne Felden; Candace Gilet; Ray W. Grout; Marc T. Henry de Frahan; Emmanuel Motheau; Andrew Nonaka; Landon Owen; Bruce A. Perry; Jon S. Rood; 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)

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)