Publication: Large-Scale Transient Sensitivity Analysis of a Radiation-Damaged Bipolar Junction Transistor via Automatic Differentiation
Introduction
Applications
Tools
Research Groups
Workshops
Publications
   List Publications
   Advanced Search
   Info
   Add Publications
My Account
About

Large-Scale Transient Sensitivity Analysis of a Radiation-Damaged Bipolar Junction Transistor via Automatic Differentiation

- incollection -
 

Area
Electrical Engineering

Author(s)
Eric T. Phipps , Roscoe A. Bartlett , David M. Gay , Robert J. Hoekstra

Published in
Advances in Automatic Differentiation

Editor(s)
Christian H. Bischof, H. Martin Bücker, Paul D. Hovland, Uwe Naumann, J. Utke

Year
2008

Publisher
Springer

Abstract
Automatic differentiation (ad) is useful in transient sensitivity analysis of a computational simulation of a bipolar junction transistor subject to radiation damage. We used forward-mode ad, implemented in a new Trilinos package called Sacado, to compute analytic derivatives for implicit time integration and forward sensitivity analysis. Sacado addresses element-based simulation codes written in C++ and works well with forward sensitivity analysis as implemented in the Trilinos time-integration package Rythmos. The forward sensitivity calculation is significantly more efficient and robust than finite differencing.

Cross-References
Bischof2008AiA

AD Tools
Sacado

BibTeX
@INCOLLECTION{
         Phipps2008LST,
       author = "Eric T. Phipps and Roscoe A. Bartlett and David M. Gay and Robert J. Hoekstra",
       title = "Large-Scale Transient Sensitivity Analysis of a Radiation-Damaged Bipolar Junction
         Transistor via Automatic Differentiation",
       doi = "10.1007/978-3-540-68942-3_31",
       pages = "351--362",
       abstract = "Automatic differentiation (AD) is useful in transient sensitivity analysis of a
         computational simulation of a bipolar junction transistor subject to radiation damage. We used
         forward-mode AD, implemented in a new Trilinos package called Sacado, to compute analytic
         derivatives for implicit time integration and forward sensitivity analysis. Sacado addresses
         element-based simulation codes written in C++ and works well with forward sensitivity analysis as
         implemented in the Trilinos time-integration package Rythmos. The forward sensitivity calculation is
         significantly more efficient and robust than finite differencing.",
       crossref = "Bischof2008AiA",
       booktitle = "Advances in Automatic Differentiation",
       publisher = "Springer",
       editor = "Christian H. Bischof and H. Martin B{\"u}cker and Paul D. Hovland and Uwe
         Naumann and J. Utke",
       isbn = "978-3-540-68935-5",
       issn = "1439-7358",
       year = "2008",
       ad_area = "Electrical Engineering",
       ad_tools = "Sacado"
}


back
  

Contact:
autodiff.org
Username:
Password:
(lost password)