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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
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
Progress Toward Continuous Integration Testing for Computational Workflows NNSA/CEA Annual Meeting (2022) Matthew R. Glickman, Ernest Joseph Friedman-Hill	Presentation (non-conference) – 2022 Presentation (non-conference)	2022
The Opportunity and Challenge of Serverless Computing and Large Scale Computational Science ASCR Workshop on the Science of Scientific-Software Development and Use Gerald Fredrick Lofstead, Matthew R. Glickman	Conference Paper – 2021 Conference Paper	2021
FY20 CSSE L2 Milestone 7186 Completion of L2 Milestone 7186 Gary J. Templet Jr., Matthew R. Glickman, Todd Henry Kordenbrock, Scott Larson Nicoll Levy, Gerald Fredrick Lofstead, Jeff Mauldin, Thomas Jay Otahal, Craig D. Ulmer, Patrick Widener, Ron A. Oldfield https://www.osti.gov/search/identifier:1820290	Presentation (non-conference) – 2020 Presentation (non-conference)	2020
Data Services for Visualization and Analysis ? ASC Level II Milestone (7186) Gary J. Templet Jr., Matthew R. Glickman, Todd Henry Kordenbrock, Scott Larson Nicoll Levy, Gerald Fredrick Lofstead, Jeff Mauldin, Thomas Jay Otahal, Craig D. Ulmer, Patrick Widener, Ron A. Oldfield https://www.osti.gov/search/identifier:1663267	SAND Report – 2020 SAND Report	2020
Sensitivity and Uncertainty Workflow of Full System SIERRA Models Supporting High Consequence Applications IWF L2 Review George Edgar Orient, Ernest Joseph Friedman-Hill, Matthew R. Glickman, Kevin Harold Olson, Elliott Marshall Ridgway https://www.osti.gov/search/identifier:1645921	Presentation (non-conference) – 2019 Presentation (non-conference)	2019
Applying executable, graphical workflows in SAW to electrical simulation-based analysis JOWOG-34 / 2019 Applied Computer Science meeting Matthew R. Glickman https://www.osti.gov/search/identifier:1596408	Conference Paper – 2019 Conference Paper	2019
NextGen Workflow for Electrical Analysis Calibration Computer and Information Sciences (CIS) External Review Board (ERB) meeting Matthew R. Glickman, Ernest Joseph Friedman-Hill, Shahed Reza, Peter E. Sholander, Rachelle Thompson Gurule https://www.osti.gov/search/identifier:1508716	Display or Poster (non-conference) – 2017 Display or Poster (non-conference)	2017
Simple Effective Conservative Treatment of Uncertainty from Sparse Samples of Random Functions AIAA Journal Vicente J. Romero, Benjamin B Schroeder, James Franklin Dempsey, John R Lewis, Nicole L. Breivik, George Edgar Orient, Bonnie R. Antoun, Justin Winokur, Matthew R. Glickman, John R. Red-Horse https://www.osti.gov/search/identifier:1367209	Journal Article – 2017 Journal Article	2017
Cantilever Beam End-to-End UQ Test Problem and Evaluation Criteria for UQ Methods Performance Assessment 2017 ASME Verification and Validation Symposium Vicente J. Romero, Benjamin B Schroeder, Matthew R. Glickman, Justin Winokur https://www.osti.gov/search/identifier:1456728	Conference Paper – 2017 Conference Paper	2017
Analyst-to-Analyst Variability in Simulation-Based Prediction Matthew R. Glickman, Vicente J. Romero https://www.osti.gov/search/identifier:1343367	SAND Report – 2017 SAND Report	2017
Evaluation of a Simple UQ Approach to Compensate for Sparse Stress-Strain Curve Data in Solid Mechanics Applications AIAA SciTech 2017 Vicente J. Romero, James Franklin Dempsey, Benjamin B Schroeder, John R Lewis, Nicole L. Breivik, George Edgar Orient, Bonnie R. Antoun, Justin Winokur, Matthew R. Glickman, John R. Red-Horse https://www.osti.gov/search/identifier:1427106	Conference Paper – 2017 Conference Paper	2017
Evaluation of Uncertainty Treatments for Sparse Samples of Random Variables and Functions 2017 ASME Verification and Validation Symposium Vicente J. Romero, Benjamin B Schroeder, John R Lewis, Matthew Bonney, Joshua Grady Mullins, Lauren Hund, Justin Winokur, James Franklin Dempsey, Nicole L. Breivik, George Edgar Orient, Bonnie R. Antoun, Matthew R. Glickman	Abstract – 2017 Abstract	2017
Evaluation of a Simple UQ Approach for Sparse Stress-Strain Curve Data in Solid Mechanics Applications AIAA SciTech 2017 Vicente J. Romero, James Franklin Dempsey, Benjamin B Schroeder, John R Lewis, George Edgar Orient, Nicole L. Breivik, Bonnie R. Antoun, Justin Winokur, Matthew R. Glickman, John R. Red-Horse https://www.osti.gov/search/identifier:1417126	Conference Paper – 2017 Conference Paper	2017
Evaluation of a Simple UQ Approach to Compensate for Sparse Stress-Strain Curve Data in Solid Mechanics Applications 19th AIAA Non-Deterministic Approaches Conference, AIAA SciTech 2017 Vicente J. Romero, James Franklin Dempsey, Benjamin B Schroeder, John R Lewis, Nicole L. Breivik, George Edgar Orient, Bonnie R. Antoun, Justin Winokur, Matthew R. Glickman	Abstract – 2016 Abstract	2016
Some Test Problems and Results in Assessing Methods for Calculating Low Probabilities of Failure 18th AIAA Non-Deterministic Approaches Conference, AIAA SciTech 2016 Vicente J. Romero, Laura Painton Swiler, Mohamed Salah Ebeida, Scott A. Mitchell, Matthew R. Glickman https://www.osti.gov/search/identifier:1339060	Conference Paper – 2016 Conference Paper	2016
Simulating Behavioral Responses in International Security Settings System Dynamcics Winter Camp George A. Backus, Asmeret Bier Naugle, Michael Lewis Bernard, Munaf Syed Aamir, Matthew R. Glickman, Robert Fredric Jeffers, Austin Ray Silva, Derek Trumbo, Stephen Joseph Verzi https://www.osti.gov/search/identifier:1244850	Conference Paper – 2015 Conference Paper	2015
A Data Driven Approach To Assess Team Performance Through Team Communication Mark D. Ladd, Matthew R. Glickman, Michael Joseph Haass, Jonathan Hunt Whetzel https://www.osti.gov/search/identifier:1057247	SAND Report – 2012 SAND Report	2012
A Data-Driven Approach to Assessing Team Performance through Team Communication 2012 Joint Undersea Warfare Technology Fall Conference Jonathan Hunt Whetzel, James C. Forsythe, Michael Joseph Haass, Matthew R. Glickman https://www.osti.gov/search/identifier:1116428	Conference Paper – 2012 Conference Paper	2012
Human Factors in the Design of a Search Tool for a Database of Recorded Human Behavior Applied Human Factors and Ergonomics Conference Susan G Moore, Matthew R. Glickman, James C. Forsythe, Derek Trumbo https://www.osti.gov/search/identifier:1068378	Conference Paper – 2012 Conference Paper	2012
Using a hybrid cognitive-system dynamics model to anticipate the influence of events and actions on human behavior International Conference of the System Dynamics Society Asmeret Bier Naugle, Michael Lewis Bernard, George A. Backus, Matthew R. Glickman, Stephen Joseph Verzi https://www.osti.gov/search/identifier:1290129	Conference Paper – 2011 Conference Paper	2011
Expert Cognitive Systems Aero: Cognitive Models and Case-Based Reasoning Applied to Fault Diagnosis in Military Aircraft Michael Lewis Bernard, Matthew R. Glickman, Wendy Lou Shaneyfelt	Other Publication – 2011 Other Publication	2011
Using a Hybrid Cognitive-System Dynamics Model to Anticipate the Influence of Events and Actions on Human Behaviors 29th International Conference of the System Dynamics Society Michael Lewis Bernard, George A. Backus, Matthew R. Glickman, Stephen Joseph Verzi https://www.osti.gov/search/identifier:1109155	Conference Paper – 2011 Conference Paper	2011
Real-time Individualized Training Vectors For Experiential Learning Nathan D. Fabian, Matthew R. Glickman https://www.osti.gov/search/identifier:1010417	SAND Report – 2011 SAND Report	2011
Document Title	Type	Year

Results 1–25 of 31

Publications

Python Data-Driven Model Integration for the Xyce Circuit Simulator

Python Data-Driven Model Integration for the Xyce Circuit Simulator

Progress Toward Continuous Integration Testing for Computational Workflows

The Opportunity and Challenge of Serverless Computing and Large Scale Computational Science

FY20 CSSE L2 Milestone 7186

Data Services for Visualization and Analysis ? ASC Level II Milestone (7186)

Sensitivity and Uncertainty Workflow of Full System SIERRA Models Supporting High Consequence Applications

Applying executable, graphical workflows in SAW to electrical simulation-based analysis

NextGen Workflow for Electrical Analysis Calibration

Simple Effective Conservative Treatment of Uncertainty from Sparse Samples of Random Functions

Cantilever Beam End-to-End UQ Test Problem and Evaluation Criteria for UQ Methods Performance Assessment

Analyst-to-Analyst Variability in Simulation-Based Prediction

Evaluation of a Simple UQ Approach to Compensate for Sparse Stress-Strain Curve Data in Solid Mechanics Applications

Evaluation of Uncertainty Treatments for Sparse Samples of Random Variables and Functions

Evaluation of a Simple UQ Approach for Sparse Stress-Strain Curve Data in Solid Mechanics Applications

Evaluation of a Simple UQ Approach to Compensate for Sparse Stress-Strain Curve Data in Solid Mechanics Applications

Some Test Problems and Results in Assessing Methods for Calculating Low Probabilities of Failure

Simulating Behavioral Responses in International Security Settings

A Data Driven Approach To Assess Team Performance Through Team Communication

A Data-Driven Approach to Assessing Team Performance through Team Communication

Human Factors in the Design of a Search Tool for a Database of Recorded Human Behavior

Using a hybrid cognitive-system dynamics model to anticipate the influence of events and actions on human behavior

Expert Cognitive Systems Aero: Cognitive Models and Case-Based Reasoning Applied to Fault Diagnosis in Military Aircraft

Using a Hybrid Cognitive-System Dynamics Model to Anticipate the Influence of Events and Actions on Human Behaviors

Real-time Individualized Training Vectors For Experiential Learning