J
James Bordner
Researcher at University of California, San Diego
Publications - 14
Citations - 3126
James Bordner is an academic researcher from University of California, San Diego. The author has contributed to research in topics: Adaptive mesh refinement & Multigrid method. The author has an hindex of 10, co-authored 14 publications receiving 2921 citations.
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Journal ArticleDOI
Enzo: an adaptive mesh refinement code for astrophysics
Greg L. Bryan,Michael L. Norman,Brian W. O'Shea,Tom Abel,John H. Wise,Matthew J. Turk,Daniel R. Reynolds,David C. Collins,Peng Wang,Peng Wang,Samuel W. Skillman,Samuel W. Skillman,Britton D. Smith,Britton D. Smith,Robert P. Harkness,James Bordner,Ji-hoon Kim,Michael Kuhlen,Hao Xu,Nathan J. Goldbaum,Cameron Hummels,Alexei G. Kritsuk,Elizabeth J. Tasker,Stephen Skory,Christine M. Simpson,Oliver Hahn,Jeffrey S. Oishi,Geoffrey C. So,Fen Zhao,Renyue Cen,Yuan Li +30 more
TL;DR: Enzo as discussed by the authors uses block-structured adaptive mesh refinement to provide high spatial and temporal resolution for modeling astrophysical fluid flows, which can be run in one, two, and three dimensions, and supports a wide variety of physics, including hydrodynamics, ideal and non-ideal magnetohydrodynamic, N-body dynamics, primordial gas chemistry, optically thin radiative cooling of primordial and metal-enriched plasmas, and models for star formation and feedback in a cosmological context.
Journal ArticleDOI
Enzo: An Adaptive Mesh Refinement Code for Astrophysics
Greg L. Bryan,Michael L. Norman,Brian W. O'Shea,Tom Abel,John H. Wise,Matthew J. Turk,Daniel R. Reynolds,David C. Collins,Peng Wang,Samuel W. Skillman,Britton D. Smith,Robert P. Harkness,James Bordner,Ji-hoon Kim,Michael Kuhlen,Hao Xu,Nathan J. Goldbaum,Cameron Hummels,Alexei G. Kritsuk,Elizabeth J. Tasker,Stephen Skory,Christine M. Simpson,Oliver Hahn,Jeffrey S. Oishi,Geoffrey C. So,Fen Zhao,Renyue Cen,Yuan Li +27 more
TL;DR: Enzo as mentioned in this paper uses block-structured adaptive mesh refinement to provide high spatial and temporal resolution for modeling astrophysical fluid flows, which can be run in 1, 2, and 3 dimensions, and supports a wide variety of physics, including hydrodynamics, ideal and non-ideal magnetohydrodynamic, N-body dynamics, primordial gas chemistry, optically-thin radiative cooling of primordial and metal-enriched plasmas, and models for star formation and feedback.
Enzo: An Adaptive Mesh Refinement Code for Astrophysics
Greg L. Bryan,Michael L. Norman,Brian W. O'Shea,Tom Abel,John H. Wise,Matthew J. Turk,Daniel R. Reynolds,David C. Collins,Peng Wang,Samuel W. Skillman,Britton D. Smith,Robert P. Harkness,James Bordner,Ji-hoon Kim,Michael Kuhlen,Hao Xu,Nathan J. Goldbaum,Cameron Hummels,Alexei G. Kritsuk,Elizabeth J. Tasker,Stephen Skory +20 more
TL;DR: Enzo as discussed by the authors uses block-structured adaptive mesh refinement to provide high spatial and temporal resolution for modeling astrophysical fluid flows, which can be run in one, two, and three dimensions, and supports a wide variety of physics, including hydrodynamics, ideal and non-ideal magnetohydrodynamic, N-body dynamics, primordial gas chemistry, optically thin radiative cooling of primordial and metal-enriched plasmas, and models for star formation and feedback in a cosmological context.
Journal ArticleDOI
Simulating Radiating and Magnetized Flows in Multiple Dimensions with ZEUS-MP
John C. Hayes,Michael L. Norman,Robert Fiedler,James Bordner,Pak Shing Li,Stephen E. Clark,Asif ud-Doula,Asif ud-Doula,Mordecai-Mark Mac Low +8 more
TL;DR: ZEUS-MP as mentioned in this paper is a massively parallel implementation of the ZEUS-2D code, which allows the advection of multiple chemical (or nuclear) species via an implicit flux-limited radiation diffusion (FLD) module.
Journal ArticleDOI
Simulating Radiating and Magnetized Flows in Multi-Dimensions with ZEUS-MP
John C. Hayes,Michael L. Norman,R. A. Fiedler,James Bordner,Pak Shing Li,S. E. Clark,Asif ud-Doula,Mordecai-Mark Mac Low +7 more
TL;DR: ZEUS-MP as discussed by the authors is a massively parallel implementation of the ZEUS code for simulations on parallel computing platforms, which allows the advection of multiple chemical (or nuclear) species.