Publications

Advanced Search

Results 1–25 of 41

Scope

Center for Computing Research

All Sandia Publications

Publication Type

Author

Funding Source

Current Filters Clear all

Remove author filter×

Publication	Type	Year
Python Data-Driven Model Integration for the Xyce Circuit Simulator 2022 Sandia Machine Learning and Deep Learning Workshop Paul Allen Kuberry, Biliana Stefanova Paskaleva, Ting Mei, Eric R. Keiter, Pavel B. Bochev, Thomas E. Buchheit, Matthew R. Glickman	Conference Presentation – 2022 Conference Presentation	2022
Xyce Circuit Simulator and Surrogate Modeling DARPA Microelectronics Access Design Automation Meeting Eric R. Keiter, Jason Verley, Heidi K. Thornquist, Paul Allen Kuberry, Edgar Galvan	Display or Poster (non-conference) – 2022 Display or Poster (non-conference)	2022
Python Data-Driven Model Integration for the Xyce Circuit Simulator 2022 Tri-lab Advanced Simulation & Computing Sustainable Scientific Software Conference Paul Allen Kuberry, Biliana Stefanova Paskaleva, Ting Mei, Eric R. Keiter, Pavel B. Bochev, Thomas E. Buchheit, Matthew R. Glickman	Conference Presentation – 2022 Conference Presentation	2022
Semiconductor Device Models Constructed Using Simple Elements and Auxiliary Dynamics Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology Charles E. Hembree, Joshua McKinley Hanson, Biliana Stefanova Paskaleva, Pavel B. Bochev, Eric R. Keiter, Alan Mar, Ting Mei	Conference Presentation – 2021 Conference Presentation	2021
Xyce Python Model Interpreter (Xyce-PyMi) for enabling ML advancements in production circuit simulation software Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology Paul Allen Kuberry, Ting Mei, Eric R. Keiter, Biliana Stefanova Paskaleva, Pavel B. Bochev, Joshua McKinley Hanson	Conference Presentation – 2021 Conference Presentation	2021
Hybrid analytic-numerical compact models for radiation-induced photocurrents. 18th Earth and Space Conference Pavel B. Bochev, Joshua McKinley Hanson, Biliana Stefanova Paskaleva, Charles E. Hembree, Eric R. Keiter, Kenneth Chadwick Sockwell	Abstract – 2021 Abstract	2021
Xyce Circuit Simulator and Surrogate Modeling DARPA Electronics Resurgence Initiative (ERI) Summit & Microsystems Technology Office (MTO) Symposium Eric R. Keiter, Jason Verley, Heidi K. Thornquist, Paul Allen Kuberry, Edgar Galvan	Conference Poster – 2021 Conference Poster	2021
An embedded Python model interpreter for XyceTM (Xyce-PyMi) Paul Allen Kuberry, Eric R. Keiter https://www.osti.gov/search/identifier:1813650	SAND Report – 2021 SAND Report	2021
A Numerical Compact Photocurrent Model and its Implementation via Xyce-PyMi Machine Learning and Deep Learning Conference (MLDL 2021) Joshua McKinley Hanson, Biliana Stefanova Paskaleva, Pavel B. Bochev, Eric R. Keiter, Charles E. Hembree, Paul Allen Kuberry https://www.osti.gov/search/identifier:1876997	Conference Presentation – 2021 Conference Presentation	2021
Enabling Python physics-aware machine learned device models in Xyce Mmldt-cset 2021 Paul Allen Kuberry, Eric R. Keiter, Ting Mei, Pavel B. Bochev, Biliana Stefanova Paskaleva	Abstract – 2021 Abstract	2021
A hybrid analytic-numerical compact model for radiation induced photocurrent effects Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology Pavel B. Bochev, Joshua McKinley Hanson, Biliana Stefanova Paskaleva, Eric R. Keiter, Charles E. Hembree	Abstract – 2021 Abstract	2021
Data-Driven Compact Models for Circuit Design and Analysis MSMLMathematical and Scientific Machine Learning Workshop Karthik Venkatraman Aadithya, Paul Allen Kuberry, Biliana Stefanova Paskaleva, Pavel B. Bochev, Kenneth Michael Leeson, Alan Mar, Ting Mei, Eric R. Keiter https://www.osti.gov/search/identifier:1810271	Conference Paper – 2020 Conference Paper	2020
Using ML to Develop Compact Models CMC SIG Weekly Meeting Karthik Venkatraman Aadithya, Paul Allen Kuberry, Eric R. Keiter, Pavel B. Bochev, Alan Mar, Ting Mei, Biliana Stefanova Paskaleva, Kenneth Michael Leeson https://www.osti.gov/search/identifier:1779603	Presentation (non-conference) – 2020 Presentation (non-conference)	2020
Development, Demonstration and Validation of Data-driven Compact Diode Models for circuit simulation and analysis Karthik Venkatraman Aadithya, Paul Allen Kuberry, Biliana Stefanova Paskaleva, Pavel B. Bochev, Kenneth Michael Leeson, Alan Mar, Ting Mei, Eric R. Keiter https://www.osti.gov/search/identifier:1592881	Report – 2019 Report	2019
Data-driven Circuit Design From Electrical Measurement Data To Compact Device Models Machine Learning and Deep Learning Conference 2019 Karthik Venkatraman Aadithya, Paul Allen Kuberry, Eric R. Keiter, Pavel B. Bochev, Alan Mar, Ting Mei, Biliana Stefanova Paskaleva, Kenneth Michael Leeson https://www.osti.gov/search/identifier:1641510	Conference Paper – 2019 Conference Paper	2019
Gradient-Enhanced Polynomial Chaos Methods for Circuit Simulation 11th International Conference on Scientific Computing in Electrical Engineering (SCEE) Eric R. Keiter, Laura Painton Swiler, Ian Zachary Wilcox https://www.osti.gov/search/identifier:1367262	Conference Paper – 2017 Conference Paper	2017
Gradient-Enhanced Polynomial Chaos Methods for Circuit Simulation 11th International Conference on Scientific Computing in Electrical Engineering Eric R. Keiter, Laura Painton Swiler, Ian Zachary Wilcox https://www.osti.gov/search/identifier:1457926	Conference Paper – 2017 Conference Paper	2017
Gradient-Enhanced Polynomial Chaos Methods for Circuit Simulation 11th International Conference on Scientific Computing in Electrical Engineering Eric R. Keiter, Laura Painton Swiler, Ian Zachary Wilcox https://www.osti.gov/search/identifier:1398359	Conference Paper – 2016 Conference Paper	2016
Sensitivity Analysis in Xyce Eric R. Keiter, Laura Painton Swiler, Thomas V. Russo, Ian Zachary Wilcox https://www.osti.gov/search/identifier:1562422	SAND Report – 2016 SAND Report	2016
Advanced Uncertainty Quantification Methods for Circuit Simulation: Final Report, LDRD 2016-0845 Eric R. Keiter, Laura Painton Swiler, Ian Zachary Wilcox https://www.osti.gov/search/identifier:1562425	SAND Report – 2016 SAND Report	2016
Gradient-Enhanced Polynomial Chaos Methods for Circuit Simulation 11th International Conference on Scientific Computing in Electrical Engineering Eric R. Keiter, Laura Painton Swiler, Ian Zachary Wilcox https://www.osti.gov/search/identifier:1504833	Conference Paper – 2016 Conference Paper	2016
Gradient-Enhanced Polynomial Chaos Methods for Circuit Simulation 11th International Conference on Scientific Computing in Electrical Engineering Eric R. Keiter, Laura Painton Swiler, Ian Zachary Wilcox	Abstract – 2016 Abstract	2016
Uncertainty Quantification Methods for Electrical Simulation 2015 CIS External Review Eric R. Keiter, Laura Painton Swiler https://www.osti.gov/search/identifier:1248668	Display or Poster (non-conference) – 2015 Display or Poster (non-conference)	2015
Advanced Uncertainty Quantification Methods for Circuit Simulation: Interim Report, LDRD 2014-0788 Eric R. Keiter, Laura Painton Swiler https://www.osti.gov/search/identifier:1504105	SAND Report – 2014 SAND Report	2014
Xyce Parallel Electronic Simulator Users' Guide, Version 6.0 Cynthia Ann Phillips, Ting Mei, Eric R. Keiter, Richard Schiek, Heidi K. Thornquist, Jason Verley, Todd S. Coffey, Roger P. Pawlowski, Christina E. Warrender, Debora A. Fixel, David G. Baur https://www.osti.gov/search/identifier:1096496	SAND Report – 2013 SAND Report	2013
Document Title	Type	Year

Results 1–25 of 41

Publications

Python Data-Driven Model Integration for the Xyce Circuit Simulator

Xyce Circuit Simulator and Surrogate Modeling

Python Data-Driven Model Integration for the Xyce Circuit Simulator

Semiconductor Device Models Constructed Using Simple Elements and Auxiliary Dynamics

Xyce Python Model Interpreter (Xyce-PyMi) for enabling ML advancements in production circuit simulation software

Hybrid analytic-numerical compact models for radiation-induced photocurrents.

Xyce Circuit Simulator and Surrogate Modeling

An embedded Python model interpreter for XyceTM (Xyce-PyMi)

A Numerical Compact Photocurrent Model and its Implementation via Xyce-PyMi

Enabling Python physics-aware machine learned device models in Xyce

A hybrid analytic-numerical compact model for radiation induced photocurrent effects

Data-Driven Compact Models for Circuit Design and Analysis

Using ML to Develop Compact Models

Development, Demonstration and Validation of Data-driven Compact Diode Models for circuit simulation and analysis

Data-driven Circuit Design From Electrical Measurement Data To Compact Device Models

Gradient-Enhanced Polynomial Chaos Methods for Circuit Simulation

Gradient-Enhanced Polynomial Chaos Methods for Circuit Simulation

Gradient-Enhanced Polynomial Chaos Methods for Circuit Simulation

Sensitivity Analysis in Xyce

Advanced Uncertainty Quantification Methods for Circuit Simulation: Final Report, LDRD 2016-0845

Gradient-Enhanced Polynomial Chaos Methods for Circuit Simulation

Gradient-Enhanced Polynomial Chaos Methods for Circuit Simulation

Uncertainty Quantification Methods for Electrical Simulation

Advanced Uncertainty Quantification Methods for Circuit Simulation: Interim Report, LDRD 2014-0788

Xyce Parallel Electronic Simulator Users' Guide, Version 6.0