Visualizing Ultrafast Plasticity with X-ray Diffraction Microscopes

Abstract

To design materials for supersonic flight or for safe and effective explosives, we require predictive models to evaluate how they interact with shock waves. Shocks rapidly drive materials to high pressures and temperatures, causing extreme plasticity, phase transitions, and chemistry that lead to unexpected failures or reactivity (1). Predictive accuracy for shock models is limited by sparse and-or indirect experiments to validate them, as imaging cannot resolve the initial mechanisms with their current resolution and sensitivity (2, 3). Advances in X-ray science and computer vision now enable ultrafast defect microscopy with feature extraction and classification to directly measure plasticity in statistically-significant volumes. Now we require experts to extend these tools to shock physics.

Document Details

Document Type
DoD Grant Award
Publication Date
Mar 06, 2024
Source ID
FA95502310347

Entities

People

  • Leora Dresselhaus-marais

Organizations

  • Air Force Office of Scientific Research
  • Stanford University
  • United States Air Force

Tags

Fields of Study

  • Physics

Readers

  • Distributed Systems and Data Platform Development
  • Nanoscale Plasmonic Nanotechnology
  • Structural Health Monitoring of Composite Structures.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • Hypersonics
  • Hypersonics - Hypersonic Flow