Development Strategies for Modern Predictive Simulation Codes. - Alice E. Koniges; Brian T. N. Gunney; Robert W. Anderson; Aaron C. Fisher; Nathan D. Masters (PARCO, 2007)

Advances in patch-based adaptive mesh refinement scalability. - Brian T. N. Gunney; Robert W. Anderson (J. Parallel Distributed Comput., 2016)

High-order local maximum principle preserving (MPP) discontinuous Galerkin finite element method for the transport equation. - Robert W. Anderson; Veselin Dobrev; Tzanio V. Kolev; Dmitri Kuzmin; Manuel Quezada de Luna; Robert N. Rieben; Vladimir Z. Tomov (J. Comput. Phys., 2017)

SNS: A Solution-based Nonlinear Subspace method for time-dependent nonlinear model order reduction. - Youngsoo Choi; Deshawn Coombs; Robert W. Anderson (CoRR, 2018)

High-Order Multi-Material ALE Hydrodynamics. - Robert W. Anderson; Veselin A. Dobrev; Tzanio V. Kolev; Robert N. Rieben; Vladimir Z. Tomov (SIAM J. Sci. Comput., 2018)

Space-time reduced order model for large-scale linear dynamical systems with application to Boltzmann transport problems. - Youngsoo Choi; Peter Brown; Bill Arrighi; Robert W. Anderson (CoRR, 2019)

MFEM: a modular finite element methods library. - Robert W. Anderson; Julian Andrej; Andrew T. Barker; Jamie A. Bramwell; Jean-Sylvain Camier; Jakub Cervený; Veselin Dobrev; Yohann Dudouit; Aaron Fisher; Tzanio V. Kolev; Will Pazner; Mark Stowell; et al. (CoRR, 2019)

SNS: A Solution-Based Nonlinear Subspace Method for Time-Dependent Model Order Reduction. - Youngsoo Choi; Deshawn Coombs; Robert W. Anderson (SIAM J. Sci. Comput., 2020)

MFEM: A modular finite element methods library. - Robert W. Anderson; Julian Andrej; Andrew T. Barker; Jamie A. Bramwell; Jean-Sylvain Camier; Jakub Cervený; Veselin Dobrev; Yohann Dudouit; Aaron Fisher; Tzanio V. Kolev; Will Pazner; Mark Stowell; et al. (Comput. Math. Appl., 2021)

Space-time reduced order model for large-scale linear dynamical systems with application to Boltzmann transport problems. - Youngsoo Choi; Peter Brown; William J. Arrighi; Robert W. Anderson; Kevin Huynh (J. Comput. Phys., 2021)

Reinforcement Learning for Adaptive Mesh Refinement. - Jiachen Yang; Tarik Dzanic; Brenden K. Petersen; Jun Kudo; Ketan Mittal; Vladimir Z. Tomov; Jean-Sylvain Camier; Tuo Zhao; Hongyuan Zha; Tzanio V. Kolev; Robert W. Anderson; Daniel M. Faissol (AISTATS, 2023)

Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement. - Jiachen Yang; Ketan Mittal; Tarik Dzanic; Socratis Petrides; Brendan Keith; Brenden K. Petersen; Daniel M. Faissol; Robert W. Anderson (AAMAS, 2023)

DynAMO: Multi-agent reinforcement learning for dynamic anticipatory mesh optimization with applications to hyperbolic conservation laws. - Tarik Dzanic; Ketan Mittal; Dohyun Kim; Jiachen Yang; Socratis Petrides; Brendan Keith; Robert W. Anderson (CoRR, 2023)

DynAMO: Multi-agent reinforcement learning for dynamic anticipatory mesh optimization with applications to hyperbolic conservation laws. - Tarik Dzanic; Ketan Mittal; DoHyun Kim; J. Yang; Socratis Petrides; Brendan Keith; Robert W. Anderson (J. Comput. Phys., 2024)