output
20172024
most citedIn-Situ Visualization of Long-Range Defect Interactions at the Edge of Melting

52 citations

6 papers

astro-ph.EP2024★ 37 cited

Geophysical Observations of the 24 September 2023 OSIRIS-REx Sample Return Capsule Re-Entry

Elizabeth A. Silber, Daniel C. Bowman, Chris G. Carr +79

Sample Return Capsules (SRCs) entering Earth's atmosphere at hypervelocity from interplanetary space are a valuable resource for studying meteor phenomena. The 24 September 2023 ar…

cond-mat.mtrl-sci2022★ 17 cited

Simultaneous Bright- and Dark-Field X-ray Microscopy at X-ray Free Electron Lasers

Leora E. Dresselhaus-Marais, Bernard Kozioziemski, Theodor S. Holstad +40

The structures, strain fields, and defect distributions in solid materials underlie the mechanical and physical properties across numerous applications. Many modern microstructural…

cond-mat.mtrl-sci2022★ 8 cited

Analytical Methods for Superresolution Dislocation Identification in Dark-Field X-ray Microscopy

Michael C. Brennan, Marylesa Howard, Youssef Marzouk +1

In this work, we develop several inference methods to estimate the position of dislocations from images generated using dark-field X-ray microscopy (DFXM) -- achieving superresolut…

cond-mat.mtrl-sci2020★ 52 cited

In-Situ Visualization of Long-Range Defect Interactions at the Edge of Melting

Leora E. Dresselhaus-Marais, Grethe Winther, Marylesa Howard +9

Connecting a bulk material's microscopic defects to its macroscopic properties is an age-old problem in materials science. Long-range interactions between dislocations (line defect…

physics.plasm-ph2019★ 16 cited

First experiments on Revolver shell collisions at the OMEGA Laser

Brett Scheiner, Mark J. Schmitt, Scott C. Hsu +9

Results of recent experiments on the OMEGA Laser are presented, demonstrating the ablator-driver shell collision relevant to the outer two shells of the Revolver triple-shell inert…

physics.app-ph2017★ 5 cited

Machine Learning to Analyze Images of Shocked Materials for Precise and Accurate Measurements

Leora Dresselhaus-Cooper, Marylesa Howard, Margaret C. Hock +5

A supervised machine learning algorithm, called locally adaptive discriminant analysis (LADA), has been developed to locate boundaries between identifiable image features that have…