Skip to main navigation
Skip to search
Skip to main content
Northern Arizona University Home
Search content at Northern Arizona University
Home
Profiles
Departments and Centers
Scholarly Works
Activities
Grants
Datasets
Prizes
Additive decomposition applied to the semiconductor drift-diffusion model
Elizabeth J. Brauer
, Marek Turowski
, James M. Mcdonough
Informatics, Computing, and Cyber Systems, School of
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Additive decomposition applied to the semiconductor drift-diffusion model'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Additive Decomposition
100%
Additive Decomposition Method
50%
Burgers
25%
Computational Efficiency
25%
Decomposition Method
25%
Drift-diffusion Model
100%
Electrical Simulation
25%
Electrical-thermal
25%
Forward Bias
25%
Grid Approach
25%
Grid Section
25%
Large Grid
25%
Memory Requirements
25%
Navier-Stokes Equations
25%
New numerical Scheme
25%
Numerical Techniques
25%
Parallelization
25%
Physical Size
25%
PIN Diode
25%
Power Semiconductor Devices
25%
Reverse Bias
25%
Semiconductor Device Simulation
25%
Semiconductors
100%
Turbulent Fluidization
25%
Engineering
Additive Decomposition
100%
Computational Efficiency
16%
Diffusion Model
100%
Fluid Flow
16%
Forward Bias
16%
Mathematical Method
16%
Memory Requirement
16%
Navier-Stokes Equation
16%
Numerical Methods
16%
Numerical Technique
16%
Physical Size
16%
Power semiconductor devices
16%
Reverse Bias
16%
Scale Space
16%
Semiconductor Device
16%
Mathematics
Additive Decomposition
100%
Decomposition Method
33%
Diffusion Model
100%
Mathematical Method
16%
Navier-Stokes Equation
16%
Numerical Methods
16%
Numerical Technique
16%
Parallelization
16%
Physics
Fluid Flow
50%
Mathematical Method
50%
Navier-Stokes Equation
50%
Semiconductor Device
100%
Material Science
Fluid Flow
50%
Semiconductor Device
100%
Chemical Engineering
Fluid Flow
100%