User profiles for Eric Nielsen

Eric Nielsen

SETI Institute
Verified email at seti.org
Cited by 7152

Recent improvements in aerodynamic design optimization on unstructured meshes

EJ Nielsen, WK Anderson - AIAA journal, 2002 - arc.aiaa.org
WITH the advent of modern computer architectures, aerodynamic designers have sought to
make use of high-fidelity computational uid dynamics codes in their everyday design efforts. …

FUN3D Manual: 13.7

…, WT Jones, B Kleb, EM Lee-Rausch, EJ Nielsen… - 2020 - ntrs.nasa.gov
This manual describes the installation and execution of FUN3D version 13.7, including optional
dependent packages. FUN3D is a suite of computational fluid dynamics simulation and …

The Gemini Planet Imager Exoplanet Survey: giant planet and brown dwarf demographics from 10 to 100 au

EL Nielsen, RJ De Rosa, B Macintosh… - The Astronomical …, 2019 - iopscience.iop.org
We present a statistical analysis of the first 300 stars observed by the Gemini Planet Imager
Exoplanet Survey. This subsample includes six detected planets and three brown dwarfs; …

Aerodynamic design optimization on unstructured meshes using the Navier-Stokes equations

EJ Nielsen, WK Anderson - AIAA journal, 1999 - arc.aiaa.org
AS computational power has continued to advance in recent years, researchers have been
able to extend the use of computational tools to increasingly more complex problems. …

Entropy stable spectral collocation schemes for the Navier--Stokes equations: Discontinuous interfaces

MH Carpenter, TC Fisher, EJ Nielsen… - SIAM Journal on Scientific …, 2014 - SIAM
Nonlinear entropy stability and a summation-by-parts framework are used to derive provably
stable, polynomial-based spectral collocation element methods of arbitrary order for the …

Sensitivity analysis for Navier-Stokes equations on unstructured meshes using complex variables

WK Anderson, JC Newman, DL Whitfield, EJ Nielsen - AIAA journal, 2001 - arc.aiaa.org
The use of complex variables for determining sensitivity derivatives for turbulent ows is
examined. Although a step size parameter is required, the numerical derivatives are not subject …

The ML test score: A rubric for ML production readiness and technical debt reduction

E Breck, S Cai, E Nielsen, M Salib… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
Creating reliable, production-level machine learning systems brings on a host of concerns
not found in small toy examples or even large offline research experiments. Testing and …

The Gemini/NICI Planet-Finding Campaign: The frequency of planets around young moving group stars

BA Biller, MC Liu, Z Wahhaj, EL Nielsen… - The Astrophysical …, 2013 - iopscience.iop.org
We report results of a direct imaging survey for giant planets around 80 members of the β Pic,
TW Hya, Tucana-Horologium, AB Dor, and Hercules-Lyra moving groups, observed as part …

Comparison of node-centered and cell-centered unstructured finite-volume discretizations: viscous fluxes

B Diskin, JL Thomas, EJ Nielsen, H Nishikawa… - AIAA journal, 2010 - arc.aiaa.org
BOTH node-centered (NC) and cell-centered (CC) finite-volume discretizations (FVDs) are
widely used for complex threedimensional (3-D) turbulent simulations in aerospace …

Tensorflow. js: Machine learning for the web and beyond

…, N Kreeger, P Yu, S Cai, E Nielsen… - Proceedings of …, 2019 - proceedings.mlsys.org
TensorFlow. js is a library for building and executing machine learning algorithms in
JavaScript. TensorFlow. js models run in a web browser and in the Node. js environment. The …