Project DarkStar: Controlling Material Deformation
Jonathan Belof | 21-SI-006
Executive Summary
The purpose of this project is to take the quantum leap from understanding to controlling dynamic material response. The scientific and technological achievements attained will enable a completely new paradigm for weapons physics and design and advance the U.S. national security posture.
Publications, Presentations, and Patents
CONFERENCES
C.F. Jekel, Y. Choi, D. White, J.L. Belof, "Using conservation laws to infer deep learning model accuracy of Richtmyer-Meshkov instabilities." The 8th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS Congress 2022, 5-9 June 2022, Oslo, Norway.
D. Sterbentz, C.F. Jekel, D. White, J.L. Belof, "Design optimization for Richtmyer-Meshkov instability suppression." American Physical Society (APS) March Meeting 2022, March 14-18, 2022.
D. White, R. Rieben, J.L. Belof, "Optimization of material interfaces for control of Richtmyer-Meshkov instabilities." 10th International Conference on Numerical Methods for Multi-Material Fluid Flow (MULTIMAT 2022). August 19-27, 2022, Zurich.
D.J. Kline, M.D. Grapes, G.C. Egan, W.P. Bassett, K.T. Sullivan, J.L. Belof, R.V. Reeves, "In situ compositional and morphological characterization of additively manufactured composites." In: Energ. Mater. Direct Ink Write Workshop, Doolittle Institute, 2021. LLNL-PRES-825862.
D.J. Kline, M.D. Grapes, G.C. Egan, B.M. English, E.A. Avalos, K.T. Sullivan, J.L. Belof, "In situ characterization techniques for composition identification and reconstruction of additively manufactured parts." In: Contam. Coatings, Mater. Planet. Prot. Work., National Aeronautics and Space Administration, Greenbelt, MD, 2021. LLNL-PRES-828267.
D.J. Kline, M.D. Grapes, W.P. Bassett, G.C. Egan, B.W. White, K.T. Sullivan, J.L. Belof, R.V. Reeves, "In situ contactless composition characterization of additively manufactured energetic materials." In: Jt. Army-Navy-NASA-Air Force 43rd Propellant Explos. Dev. Charact. Symp., Johns Hopkins University, Columbia, MD, 2021. LLNL-PRES-829380.
