Materials Properties and Design II

Presentations

• Quantitative properties through semantic learning

  ORAL

  July 14, 2022, 11:00 AM – July 14, 2022, 11:15 AM

  Presenters

  • Allen Garcia

    • University of Maryland, College Park

  Authors

  • Allen Garcia

    • University of Maryland, College Park

  • Connor P O'Ryan

    • University of Maryland, College Park

  • Gaurav Kumar

    • University of Maryland, College Park

  • Zois Boukouvalas

    • Department of Mathematics and Statistics, American University, Washington, DC
    • American University

  • Mark D Fuge

    • Department of Mechanical Engineering, University of Maryland, College Park
    • University of Maryland, College Park

  • Peter W Chung

    • University of Maryland, College Park
    • Department of Mechanical Engineering, University of Maryland, College Park

  View abstract →

• Dynamical Stabilization of Shockwave-driven Material Interfaces via Machine Learning: Annihilation of Vortical Flow for the Taming of Richtmyer-Meshkov Instability

  ORAL

  July 14, 2022, 11:15 AM – July 14, 2022, 11:30 AM

  Presenters

  • Jonathan L Belof

    • Lawrence Livermore Natl Lab
    • Lawrence Livermore National Laboratory

  Authors

  • Jonathan L Belof

    • Lawrence Livermore Natl Lab
    • Lawrence Livermore National Laboratory

  • William Schill

    • Lawrence Livermore National Laboratory
    • Lawrence Livermore Natl Lab

  • Hector Lorenzana

    • Lawrence Livermore National Laboratory

  • Daniel White

    • Lawrence Livermore National Laboratory

  • Robert N Rieben

    • Lawrence Livermore Natl Lab

  View abstract →

• Automated Knowledge Graph Generation from Text for Synthesis of Energetic Materials

  ORAL

  July 14, 2022, 11:30 AM – July 14, 2022, 11:45 AM

  Presenters

  • Connor P O'Ryan

    • University of Maryland, College Park

  Authors

  • Connor P O'Ryan

    • University of Maryland, College Park

  • Frank VanGessel

    • U.S. Naval Surface Warfare Center, Indian Head Division, Indian Head, MD

  • Zois Boukouvalas

    • Department of Mathematics and Statistics, American University, Washington, DC
    • American University

  • Mark D Fuge

    • Department of Mechanical Engineering, University of Maryland, College Park
    • University of Maryland, College Park

  • Peter W Chung

    • University of Maryland, College Park
    • Department of Mechanical Engineering, University of Maryland, College Park

  • Ian Michel-Tyler

    • Energetics Technology Center, Indian Head, MD
    • Energetics Technology Center

  • Ruth Doherty

    • Energetics Technology Center, Indian Head, MD
    • Energetics Technology Center

  • William Wilson

    • Energetics Technology Center, Indian Head, MD
    • Energetics Technology Center

  • Kevin Hayes

    • University of Maryland, College Park

  View abstract →

• A Novel AI-Assisted Framework for Microstructural Design of Shocked Materials

  ORAL

  July 14, 2022, 11:45 AM – July 14, 2022, 12:00 PM

  Presenters

  • Joseph Choi

    • University of Virginia

  Authors

  • Joseph Choi

    • University of Virginia

  • Phong Nguyen

    • 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 →

• Ameliorating synthesis and scarce data challenges through joint embedding for high energy molecule generation

  ORAL

  July 14, 2022, 12:00 PM – July 14, 2022, 12:15 PM

  Publication: Balakrishnan, Sangeeth, Francis G. VanGessel, Zois Boukouvalas, Brian C. Barnes, Mark D. Fuge, and Peter W. Chung. "Locally Optimizable Joint Embedding Framework to Design Nitrogen-rich Molecules that are Similar but Improved." Molecular Informatics 40, no. 7 (2021): 2100011.

  Presenters

  • SANGEETH BALAKRISHNAN

    • Department of Mechanical Engineering, University of Maryland, College Park
    • University of Maryland, College Park

  Authors

  • SANGEETH BALAKRISHNAN

    • Department of Mechanical Engineering, University of Maryland, College Park
    • University of Maryland, College Park

  • Francis G VanGessel

    • U.S. Naval Surface Warfare Center, Indian Head Division, Indian Head, MD

  • Zois Boukouvalas

    • Department of Mathematics and Statistics, American University, Washington, DC
    • American 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

  • Mark D Fuge

    • Department of Mechanical Engineering, University of Maryland, College Park
    • University of Maryland, College Park

  • Peter W Chung

    • University of Maryland, College Park
    • Department of Mechanical Engineering, University of Maryland, College Park

  View abstract →