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Peng Wang

Researcher at Stanford University

Publications -  41
Citations -  3499

Peng Wang is an academic researcher from Stanford University. The author has contributed to research in topics: Dark matter & Adaptive mesh refinement. The author has an hindex of 17, co-authored 22 publications receiving 3197 citations. Previous affiliations of Peng Wang include Nvidia & Kavli Institute for Theoretical Physics.

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Enzo: an adaptive mesh refinement code for astrophysics

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

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

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

Outflow Feedback Regulated Massive Star Formation in Parsec-Scale Cluster-Forming Clumps

TL;DR: In this article, the authors investigate massive star formation in turbulent, magnetized, parsec-scale clumps of molecular clouds including protostellar outflow feedback using three dimensional numerical simulations.
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Fermi large area telescope observations of the vela pulsar

A. A. Abdo, +280 more
TL;DR: In this paper, the Vela pulsar was used to verify Fermi timing and angular resolution, and the high energy behavior of the pulsed emission was examined; initial spectra suggest a phase-averaged power law index of Gamma=1.51{+0.05/-0.04} with an exponential cut-off at E_c=2.1 GeV.