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Publication	Type	Year
Mesh Distance for Dimension Reduction and Visualization of Numerical Simulation Data IEEE InfoVis 2022 Shawn Martin, Milosz Aleksander Sielicki, Matthew Letter, Jaxon Morgan Gittinger, Warren L. Hunt, Patricia Crossno	Conference Paper – 2022 Conference Paper	2022
Visualizing Multimodal Ensembles ASCR Workshop on Visualization for Science Shawn Martin, Patricia J. Crossno	Abstract – 2021 Abstract	2021
Toward Future Energy Generation Systems: Multi-Scale Optimization with Market Interactions AIChE Annual Meeting Jordan Heath Jalving, Jaffer Ghouse, Ben Knueven, Shawn Martin, Nicole Cortez, Gao Xian, John Daniel Siirola, David Miller, Alexander Dowling	Conference Presentation – 2021 Conference Presentation	2021
Slycat? Ensemble Analytics CSRI Summer Seminar Patricia J. Crossno, Jaxon Morgan Gittinger, Warren L. Hunt, Matthew Letter, Shawn Martin, Milosz Aleksander Sielicki	Presentation (non-conference) – 2021 Presentation (non-conference)	2021
Slycat R&D 100 Submission Patricia J. Crossno, Jaxon Morgan Gittinger, Warren L. Hunt, Matthew Letter, Shawn Martin, Milosz Aleksander Sielicki	Marketing or Promotional – 2021 Marketing or Promotional	2021
Dial-A-Cluster User Manual Patricia J. Crossno, Jaxon Morgan Gittinger, Warren L. Hunt, Matthew Letter, Shawn Martin, Milosz Aleksander Sielicki https://www.osti.gov/search/identifier:1635595	Report – 2020 Report	2020
Rapid Response Data Science for COVID-19 Alisa Bandlow, Travis Ladell Bauer, Patricia J. Crossno, Rudy J. Garcia, Lisa Astuto Gribble, Patricia Marie Hernandez, Shawn Martin, Jonathan T. McClain, Laura Patrizi https://www.osti.gov/search/identifier:1763559	SAND Report – 2020 SAND Report	2020
Slycat? Ensemble Analytics DOE Computer Graphics Forum Patricia J. Crossno, Jaxon Morgan Gittinger, Warren L. Hunt, Matthew Letter, Shawn Martin, Milosz Aleksander Sielicki https://www.osti.gov/search/identifier:1778153	Conference Paper – 2020 Conference Paper	2020
CAD Defeaturing using Machine Learning International Meshing Roundtable Steven J. Owen, Timothy Malcolm Shead, Shawn Martin https://www.osti.gov/search/identifier:1640901	Conference Paper – 2019 Conference Paper	2019
Machine Learning-based CAD Defeaturing for Tetrahedral Mesh Generation Jowog-34 Steven J. Owen, Timothy Malcolm Shead, Shawn Martin https://www.osti.gov/search/identifier:1596411	Conference Paper – 2019 Conference Paper	2019
VideoSwarm: Analyzing Video Ensembles IEEE Electronic Imaging Visualization and Data Analysis Shawn Martin, Milosz Aleksander Sielicki, Jaxon Morgan Gittinger, Matthew Letter, Warren L. Hunt, Patricia J. Crossno https://www.osti.gov/search/identifier:1583010	Conference Paper – 2019 Conference Paper	2019
VideoSwarm: Analyzing Video Ensembles IEEE Electronic Imaging Visualization and Data Analysis Shawn Martin, Milosz Aleksander Sielicki, Jaxon Morgan Gittinger, Matthew Letter, Warren L. Hunt, Patricia J. Crossno https://www.osti.gov/search/identifier:1807020	Conference Paper – 2018 Conference Paper	2018
Defeaturing using Machine Learning International Meshing Roundtable Steven J. Owen, Timothy Malcolm Shead, Shawn Martin https://www.osti.gov/search/identifier:1577044	Conference Paper – 2018 Conference Paper	2018
Automated Simulation Model Preparation with Machine Learning World Congress on Computational Mechanics Steven J. Owen, Timothy Malcolm Shead, Shawn Martin https://www.osti.gov/search/identifier:1806719	Conference Paper – 2018 Conference Paper	2018
Automated Simulation Model Preparation with Machine Learning World Congress on Computational Mechanics Steven J. Owen, Timothy Malcolm Shead, Shawn Martin	Abstract – 2018 Abstract	2018
VideoSwarm: Interactive Visualization of Simulation Video Ensembles CoDA 2018 Exploring Data-Focused Research across the Department of Energy Jaxon Morgan Gittinger, Shawn Martin, Milosz Aleksander Sielicki, Matthew Letter, Warren L. Hunt, Patricia J. Crossno https://www.osti.gov/search/identifier:1505024	Conference Paper – 2018 Conference Paper	2018
VideoSwarm: Interactive Visualization of Simulation Video Ensembles Abstract CoDA 2018Exploring Data-Focused Research across the Department of Energy Jaxon Morgan Gittinger, Shawn Martin, Milosz Aleksander Sielicki, Warren L. Hunt, Matthew Letter, Patricia J. Crossno	Abstract – 2018 Abstract	2018
Slycat? User Manual Patricia J. Crossno, Jaxon Morgan Gittinger, Warren L. Hunt, Matthew Letter, Shawn Martin, Milosz Aleksander Sielicki https://www.osti.gov/search/identifier:1418737	Report – 2018 Report	2018
Machine Learning for Automated Simulation Model Preparation SciML2018DOE ASCR Workshop on Scientific Machine Learning Steven J. Owen, Timothy Malcolm Shead, Shawn Martin, Teddy D. Blacker, Ron A. Oldfield	Abstract – 2018 Abstract	2018
Interactive Visualization of Simulation Video Ensembles Abstract 7th IEEE Symposium on Large Data Analysis and Visualization Shawn Martin, Milosz Aleksander Sielicki, Jaxon Morgan Gittinger, Matthew Letter, Warren L. Hunt, Patricia J. Crossno	Abstract – 2017 Abstract	2017
Slycat Scalable Ensemble Analysis and Visualization Abstract 7th IEEE Symposium on Large Data Analysis and Visualization Patricia J. Crossno, Jaxon Morgan Gittinger, Warren L. Hunt, Matthew Letter, Shawn Martin, Milosz Aleksander Sielicki	Abstract – 2017 Abstract	2017
Machine Learning Models of Errors in LES Predictions of Surface Pressure Fluctuations AIAA Aviation 2017 Matthew F. Barone, Jeffrey A. Fike, Kamaljit Singh Chowdhary, Warren Leon Davis, Julia Ling, Shawn Martin https://www.osti.gov/search/identifier:1458163	Conference Paper – 2017 Conference Paper	2017
Machine Learning Models of Errors in Large Eddy Simulation Predictions of Surface Pressure Fluctuations AIAA Aviation Conference Matthew F. Barone, Jeffrey A. Fike, Kamaljit Singh Chowdhary, Warren Leon Davis, Julia Ling, Shawn Martin https://www.osti.gov/search/identifier:1367203	Conference Paper – 2017 Conference Paper	2017
Encoding and Analyzing Aerial Imagery Using Geospatial Semantic Graphs Mark Daniel Rintoul, Jean-Paul Watson, William C. McLendon, Ojas D. Parekh, Shawn Martin, David R. Strip, Carl Diegert https://www.osti.gov/search/identifier:1204099	SAND Report – 2014 SAND Report	2014
Ensemble Analysis of Electrical Circuit SimulationsSimulations Patricia J. Crossno, Timothy Malcolm Shead, Warren L. Hunt, Shawn Martin, Mingyu Hsieh, Milosz A. Sielicki https://www.osti.gov/search/identifier:1677544	Other Publication – 2013 Other Publication	2013
Document Title	Type	Year

Results 1–25 of 29

Publications

Mesh Distance for Dimension Reduction and Visualization of Numerical Simulation Data

Visualizing Multimodal Ensembles

Toward Future Energy Generation Systems: Multi-Scale Optimization with Market Interactions

Slycat? Ensemble Analytics

Slycat R&D 100 Submission

Dial-A-Cluster User Manual

Rapid Response Data Science for COVID-19

Slycat? Ensemble Analytics

CAD Defeaturing using Machine Learning

Machine Learning-based CAD Defeaturing for Tetrahedral Mesh Generation

VideoSwarm: Analyzing Video Ensembles

VideoSwarm: Analyzing Video Ensembles

Defeaturing using Machine Learning

Automated Simulation Model Preparation with Machine Learning

Automated Simulation Model Preparation with Machine Learning

VideoSwarm: Interactive Visualization of Simulation Video Ensembles

VideoSwarm: Interactive Visualization of Simulation Video Ensembles Abstract

Slycat? User Manual

Machine Learning for Automated Simulation Model Preparation

Interactive Visualization of Simulation Video Ensembles Abstract

Slycat Scalable Ensemble Analysis and Visualization Abstract

Machine Learning Models of Errors in LES Predictions of Surface Pressure Fluctuations

Machine Learning Models of Errors in Large Eddy Simulation Predictions of Surface Pressure Fluctuations

Encoding and Analyzing Aerial Imagery Using Geospatial Semantic Graphs

Ensemble Analysis of Electrical Circuit SimulationsSimulations