APS Logo

Materials Properties and Design I

FOCUS · P03 · ID: 484604

Presentations

  • On the application of machine learning techniques to energetic materials

    ORAL · Invited

    –

    Presenters

    • 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

    • 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

    View abstract →

  • Establishing the structure-property-performance linkage of pressed energetic materials using physics-aware recurrent convolutional neural networks (PARC)

    ORAL

    –

    Presenters

    • Phong C Nguyen

      University of Virginia

    Authors

    • Phong C Nguyen

      University of Virginia

    • Joseph Choi

      University of Virginia

    • Yen-Thi t Nguyen

      The University of Iowa, University of Iowa

    • 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

    • Stephen Baek

      University of Virginia

    View abstract →

  • Interpretable Performance Models for Energetic Materials using Parsimonious Neural Networks

    ORAL

    –

    Publication: Planned paper: Interpretable Performance Models for Energetic Materials using Parsimonious Neural Networks

    Presenters

    • Robert J Appleton

      Purdue University

    Authors

    • Robert J Appleton

      Purdue University

    • Peter Salek

      Purdue University

    • Alex D Casey

      Purdue University

    • Steven F Son

      Purdue University

    • 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

    • Alejandro H Strachan

      Purdue University

    View abstract →

  • Chemical determinants of drop-weight impact sensitivity in high explosives

    ORAL

    –

    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. <br><br>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

    • Frank Marrs

      Los Alamos National Laboratory

    Authors

    • Frank Marrs

      Los Alamos National Laboratory

    • Alexandra Burch

      Los Alamos National Laboratory

    • Suyana Ferreira

      Los Alamos National Laboratory

    • Jack Davis

      Los Alamos National Laboratory

    • Nicholas Lease

      Lawrence Livermore National Laboratory, Los Alamos National Laboratory

    • Marc J Cawkwell

      Los Alamos National Laboratory

    • Virginia W Manner

      Los Alamos Natl Lab, Los Alamos National Laboratory

    View abstract →

  • Data-driven Chemical Property Models for Energetic Materials using Transfer Learning

    ORAL

    –

    Presenters

    • Joshua Lansford

      U.S. Army Combat Capabilities Development Command (DEVCOM) Army Research Laboratory

    Authors

    • Joshua Lansford

      U.S. Army Combat Capabilities Development Command (DEVCOM) Army Research Laboratory

    • 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

    • Betsy M Rice

      U.S. Army Combat Capabilities Development Command (DEVCOM) Army Research Laboratory

    • Klavs F Jensen

      Massachusetts Institute of Technology

    View abstract →