Publications

Huang, Andy H.; Gao, Xujiao G.; Reza, Shahed R.; Trask, Nathaniel A.; Wilcox, Ian Z.; Diaz, Candace; Patel, Ravi G.

Abstract not provided.

Huang, Andy H.; Trask, Nathaniel A.; Gao, Xujiao G.; Reza, Shahed R.; Wilcox, Ian Z.; Diaz, Candace

Abstract not provided.

Keiter, Eric R.; Swiler, Laura P.; Wilcox, Ian Z.

Abstract not provided.

Keiter, Eric R.; Swiler, Laura P.; Wilcox, Ian Z.

Abstract not provided.

Keiter, Eric R.; Swiler, Laura P.; Wilcox, Ian Z.

Abstract not provided.

Keiter, Eric R.; Swiler, Laura P.; Wilcox, Ian Z.

Abstract not provided.

Keiter, Eric R.; Swiler, Laura P.; Russo, Thomas V.; Wilcox, Ian Z.

Parametric sensitivities of dynamic system responses are very useful in a variety of applications, including circuit optimization and uncertainty quantification. Sensitivity calculation methods fall into two related categories: direct and adjoint methods. Effective implementation of such methods in a production circuit simulator poses a number of technical challenges, including instrumentation of device models. This report documents several years of work developing and implementing di- rect and adjoint sensitivity methods in the Xyce circuit simulator. Much of this work sponsored by the Laboratory Directed Research and Development (LDRD) Program at Sandia National Labora- tories, under project LDRD 14-0788.

Keiter, Eric R.; Swiler, Laura P.; Wilcox, Ian Z.

This report summarizes the methods and algorithms that were developed on the Sandia National Laboratory LDRD project entitled "Advanced Uncertainty Quantification Methods for Circuit Sim- ulation", which was project # 173331 and proposal # 2016-0845. As much of our work has been published in other reports and publications, this report gives an brief summary. Those who are in- terested in the technical details are encouraged to read the full published results and also contact the report authors for the status of follow-on projects.