Publications

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Uniform flow in axisymmetric devices through permeability optimization

7th International Conference on Continuous Optimization

Denis Ridzal, Drew Philip Kouri, David Robinson, Maher Salloum

Conference Presentation – 2022 Conference Presentation 2022

Additive manufacturing of porous lattices with spatially optimized permeability

Material Science Research Foundation External Review Board meeting

David Robinson, Declan Thomas Mahaffey-Dowd, Carly Sin Yiu Hui, Bernice E. Mills, Maher Salloum, Denis Ridzal, Drew Philip Kouri, John Carter Miers

Display or Poster (non-conference) – 2022 Display or Poster (non-conference) 2022

Additive Manufacturing of Porous Material Lattices with Spatially Optimized Permeability

American Chemical Society Spring 2022

Declan Thomas Mahaffey-Dowd, Carly Sin Yiu Hui, Bernice E. Mills, Maher Salloum, Denis Ridzal, Drew Philip Kouri, John Carter Miers, David Robinson

Conference Presentation – 2022 Conference Presentation 2022

Fluid flow control devices with 3D-graded permeability

Interpore 2021

David Robinson, Maher Salloum, Denis Ridzal, Drew Philip Kouri

https://www.osti.gov/search/identifier:1867123

Conference Presentation – 2021 Conference Presentation 2021

Design of chromatography columns with 3D-graded permeability

American Chemical Society Spring 2021 Meeting

David Robinson, Maher Salloum, Denis Ridzal, Drew Philip Kouri

https://www.osti.gov/search/identifier:1861979

Conference Presentation – 2021 Conference Presentation 2021

Fluid flow control devices with 3D-graded permeability

Interpore2021

David Robinson, Maher Salloum, Denis Ridzal, Drew Philip Kouri

Abstract – 2021 Abstract 2021

Design of chromatography columns with 3D-graded permeability

American Chemical Society Spring 2021 virtual meeting

David Robinson, Maher Salloum, Drew Philip Kouri, Denis Ridzal

Abstract – 2021 Abstract 2021

Fluid flow control devices with 3D-graded permeability

2020 virtual annual meeting of the American Institute of Chemical Engineers

David Robinson, Maher Salloum, Denis Ridzal, Drew Philip Kouri, David J. Saiz, Bradley Howell Jared

https://www.osti.gov/search/identifier:1831022

Conference Presentation – 2020 Conference Presentation 2020

Fluid flow control devices with 3D-graded permeability

2020 American Institute of Chemical Engineers (AIChE) Annual Meeting

David Robinson, Maher Salloum, Denis Ridzal, Drew Philip Kouri, David J. Saiz, Bradley Howell Jared

Abstract – 2020 Abstract 2020

Fluid Flow Control Devices with Graded Permeability

5th Cross-Joint (JOWOG) Meeting

Maher Salloum, David Robinson, Denis Ridzal, Drew Philip Kouri, David J. Saiz, Bradley Howell Jared

https://www.osti.gov/search/identifier:1761291

Display or Poster (non-conference) – 2020 Display or Poster (non-conference) 2020

Adverse Event Prediction Using Graph-Augmented Temporal Analysis: Final Report

Randolph Brost, Erin E. Carrier, Michelle Carroll, Katrina M. Groth, William Philip Kegelmeyer, Vitus J. Leung, Hamilton E. Link, Andrew John Patterson, Cynthia Ann Phillips, Samuel Richter, David G. Robinson, Andrea Staid, Diane M.-K. Woodbridge

https://www.osti.gov/search/identifier:1530166

SAND Report – 2018 SAND Report 2018

Multimodal Data Integration Under Uncertainty

Conference on Data Analytics

David John Stracuzzi, David G. Robinson, Matthew Gregor Peterson, Stephen Michael Dauphin, Maximillian Gene Chen, Robert Riley

https://www.osti.gov/search/identifier:1422161

Conference Paper – 2016 Conference Paper 2016

Multimodal Data Integration Under Uncertainty

Conference on Data Analytics

David John Stracuzzi, David G. Robinson, Matthew Gregor Peterson, Stephen Michael Dauphin, Maximillian Gene Chen, Robert Riley

Abstract – 2016 Abstract 2016

Preliminary Results on Uncertainty Quantification for Pattern Analytics

David John Stracuzzi, Randolph Brost, Maximillian Gene Chen, Rebecca Malinas, Matthew Gregor Peterson, Cynthia Ann Phillips, David G. Robinson, Diane Woodbridge

https://www.osti.gov/search/identifier:1221712

SAND Report – 2015 SAND Report 2015

Computing Quality Scores and Uncertainty for Approximate Pattern Matching in Geospatial Semantic Graphs

Statistical Analysis and Data Mining

David John Stracuzzi, Randolph Brost, Cynthia Ann Phillips, David G. Robinson, Alyson Gabbard Wilson, Diane Woodbridge

https://www.osti.gov/search/identifier:1236237

Journal Article – 2015 Journal Article 2015

Arctic Climate Systems Analysis

Mark D. Ivey, David G. Robinson, Mark B. Boslough, George A. Backus, Kara J. Peterson, Bart G van Bloemen Waanders, Laura Painton Swiler, Darin Maurice Desilets, Rhonda Karen Reinert

https://www.osti.gov/search/identifier:1177602

SAND Report – 2015 SAND Report 2015

Machine Learning in the Presence of Adversarial Tampering, or, What To Do When Your Truth Data Lies?

ASCR Machine Learning for Scientific Discovery Workshop

William Philip Kegelmeyer, Timothy Malcolm Shead, Jonathan Crussell, David G. Robinson

Abstract – 2014 Abstract 2014

Abstracts for Additive Mfg JOWOG

Additive manufacturing JOWOG

Bradley Howell Jared, Christopher David Kozuch, Alexander S. Tappan, Adam Cook, Joseph E. Bishop, David P. Adams, Michael Christopher Maguire, David Robinson, Aaron C. Hall, Lawrence R. Carrillo, Abraham L. Sego, Nicholas Leathe, Nathan Fuller, Joshua Robbins, Brett W. Clark

https://www.osti.gov/search/identifier:1241756

Conference Paper – 2014 Conference Paper 2014

Approximate Pattern Matching Under Uncertainty in Geospatial Semantic Graphs

Conference on Data Analysis

Jane M. Poppenger, Cynthia Ann Phillips, David G. Robinson, David John Stracuzzi, Diane Woodbridge, Mark Kaiser, Daniel J. Nordman, Alyson G. Wilson

https://www.osti.gov/search/identifier:1141191

Conference Paper – 2014 Conference Paper 2014

Computing Quality Scores and Uncertainty for Approximate Pattern Matching in Geospatial Semantic GraphsPattern Matching in Geospatial Semantic Graphs

Conference on Data Analysis

David John Stracuzzi, Randolph Brost, Cynthia Ann Phillips, David G. Robinson, Diane Woodbridge

https://www.osti.gov/search/identifier:1731158

Other Publication – 2014 Other Publication 2014

Statistically Significant Relational Data Mining: LDRD Report

Dwayne L. Knirk, Vitus J. Leung, Cynthia Ann Phillips, Ali Pinar, David G. Robinson, Tanya Berger-Wolf, Sanjukta Bhowmick, Emily Casleton, Mark Kaiser, Daniel J. Nordman, Alyson G. Wilson

https://www.osti.gov/search/identifier:1204082

SAND Report – 2014 SAND Report 2014

Community Detection: A Bayesian Approach and the Challenge of Evaluation

Structure, Statistical Inference, and Dynamics in NetworksFrom Graphs to Rich Data

Dwayne L. Knirk, Daniel Dunlavy, Cynthia Ann Phillips, David G. Robinson, Jiqiang Guo, Daniel Nordman, Alyson Wilson

https://www.osti.gov/search/identifier:1079010

Conference Paper – 2013 Conference Paper 2013

Community Detection: A Bayesian Approach and the Challenge of Evaluation

Graph Exploitation Workshop

Dwayne L. Knirk, Daniel Dunlavy, Cynthia Ann Phillips, David G. Robinson, Jiqiang Guo, Daniel Nordman, Alyson Wilson

https://www.osti.gov/search/identifier:1067771

Conference Paper – 2012 Conference Paper 2012

Does Partial Replication Pay Off?

Fault-Tolerance for HPC at Extreme Scale (FTXS 2012)

Steven J. Lockwood, Kurt Brian Ferreira, David G. Robinson, Dorian Arnold, Patrick Bridges, Rolf Reisen

https://www.osti.gov/search/identifier:1068346

Conference Paper – 2012 Conference Paper 2012

Parallel Bayesian Methods for Community Detection

SIAM Conference on Parallel Computing

Dwayne L. Knirk, Daniel Dunlavy, Cynthia Ann Phillips, David G. Robinson, Jiqiang Guo, Daniel Nordman, Alyson Wilson

https://www.osti.gov/search/identifier:1069032

Conference Paper – 2012 Conference Paper 2012
Document Title Type Year
Results 1–25 of 29