Machine Learning for Energetic Materials II
ORAL · M02 · ID: 1459415
Presentations
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Prediction of Explosive Performance and Safety Parameters Using Derivatized SMILES Data
ORAL
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Presenters
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Jack V Davis
- Los Alamos National Laboratory
Authors
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Jack V Davis
- Los Alamos National Laboratory
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Frank Marrs
- Los Alamos National Laboratory
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Mike Grosskopf
- Los Alamos National Laboratory
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Marc J Cawkwell
- Los Alamos National Laboratory
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Virginia W Manner
- Los Alamos Natl Lab
- Los Alamos National Laboratory
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Out-of-sample Transition Temperature Predictions via Physics-informed Transfer Learning
ORAL
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Presenters
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Joshua Lansford
- U.S. Army Combat Capabilities Development Command (DEVCOM) Army Research Laboratory
Authors
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Joshua Lansford
- U.S. Army Combat Capabilities Development Command (DEVCOM) Army Research Laboratory
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Brian C Barnes
- U.S. Army Combat Capabilities Development Command (DEVCOM) Army Research Laboratory
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Klavs F Jensen
- Massachusetts Institute of Technology
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Machine learning models for energetic materials properties using multi-task learning
ORAL
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Presenters
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Robert J Appleton
- Purdue University
Authors
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Robert J Appleton
- Purdue University
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Daniel Klinger
- Purdue University
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Brian H Lee
- Purdue University
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Alejandro H Strachan
- Purdue University
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Samuel Blankenship
- Purdue University
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Sohee Kim
- Purdue University
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Michael Taylor
- New Mexico Institute of Mining and Technology
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Brian C Barnes
- U.S. Army Combat Capabilities Development Command (DEVCOM) Army Research Laboratory
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Steven F Son
- Purdue University
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A Data Fusion Approach for Quantitative Property Prediction Using Natural Language Processing
ORAL
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Presenters
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Allen Garcia
- University of Maryland, College Park
Authors
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Allen Garcia
- University of Maryland, College Park
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Zois Boukouvalas
- American University
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Francis G VanGessel
- Naval Surface Warfare Center
- University of Maryland, College Park
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Ruth Doherty
- Energetics Technology Center
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Peter W Chung
- University of Maryland, College Park
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