Materials Properties and Design I
FOCUS · P03 · ID: 484604
Presentations
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On the application of machine learning techniques to energetic materials
ORAL · Invited
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Presenters
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Brian C Barnes
- U.S. DEVCOM Army Research Laboratory, Aberdeen Proving Ground, MD
- U.S. Army Combat Capabilities Development Command (DEVCOM) Army Research Laboratory
- US Army Research Lab Aberdeen
Authors
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Brian C Barnes
- U.S. DEVCOM Army Research Laboratory, Aberdeen Proving Ground, MD
- U.S. Army Combat Capabilities Development Command (DEVCOM) Army Research Laboratory
- US Army Research Lab Aberdeen
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Establishing the structure-property-performance linkage of pressed energetic materials using physics-aware recurrent convolutional neural networks (PARC)
ORAL
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Presenters
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Phong C Nguyen
- University of Virginia
Authors
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Phong C Nguyen
- University of Virginia
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Joseph Choi
- University of Virginia
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Yen-Thi t Nguyen
- The University of Iowa
- University of Iowa
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H.S. Udaykumar
- The University of Iowa
- University of Iowa
- Department of Mechanical Engineering, The University of Iowa
- Department of Mechanical Engineering, The University of Iowa, Iowa City, IA, United States
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Stephen Baek
- University of Virginia
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Interpretable Performance Models for Energetic Materials using Parsimonious Neural Networks
ORAL
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Publication: Planned paper: Interpretable Performance Models for Energetic Materials using Parsimonious Neural Networks
Presenters
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Robert J Appleton
- Purdue University
Authors
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Robert J Appleton
- Purdue University
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Peter Salek
- Purdue University
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Alex D Casey
- Purdue University
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Steven F Son
- Purdue University
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Brian C Barnes
- U.S. DEVCOM Army Research Laboratory, Aberdeen Proving Ground, MD
- U.S. Army Combat Capabilities Development Command (DEVCOM) Army Research Laboratory
- US Army Research Lab Aberdeen
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Alejandro H Strachan
- Purdue University
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Chemical determinants of drop-weight impact sensitivity in high explosives
ORAL
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Publication: F. W. Marrs, A. C. Burch, S. R. Ferreira, J. V. Davis, N. Lease, M. J. Cawkwell, and V. W. Manner. Chemical determinants of drop-weight impact sensitivity in high explosives. In preparation.
Marrs, F. W., Manner, V. W., Burch, A. C., Yeager, J. D., Brown, G. W., Kay, L. M., Buckley, R. T., Anderson-Cook, C. M., and Cawkwell, M. J. (2021) "Sources of Variation in Drop-Weight Impact Sensitivity Testing of the Explosive Pentaerythritol Tetranitrate," Industrial & Chemical Engineering Research, 60, 13, 5024–5033.Presenters
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Frank Marrs
- Los Alamos National Laboratory
Authors
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Frank Marrs
- Los Alamos National Laboratory
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Alexandra Burch
- Los Alamos National Laboratory
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Suyana Ferreira
- Los Alamos National Laboratory
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Jack Davis
- Los Alamos National Laboratory
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Nicholas Lease
- Lawrence Livermore National Laboratory
- 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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Data-driven Chemical Property Models for Energetic Materials using 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. DEVCOM Army Research Laboratory, Aberdeen Proving Ground, MD
- U.S. Army Combat Capabilities Development Command (DEVCOM) Army Research Laboratory
- US Army Research Lab Aberdeen
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Betsy M Rice
- 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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