Maximizing reliability and information content of ramp compression experiments with in situx-ray characterization - (DE-NA0003902)

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Maximizing reliability and information content of ramp compression experiments with in situx-ray characterization - (DE-NA0003902)
Maximizing reliability and information content
of ramp compression experiments
w ith in situ x-ray characterization
(DE-NA0 0 0 3 9 0 2 )

Todd C. Hufnagel and June K. W icks
2020 SSAP Symposium
February 2 7 , 2 0 2 0
Maximizing reliability and information content of ramp compression experiments with in situx-ray characterization - (DE-NA0003902)
Student and post -doc team members
Dr. Vinay Rastogi (50%)
                                            Connor Krill
                                             B.S. 2019
                                     LLNL summer intern

                                                           Dr. Nasim Eibagi (50%)

                          Dr. Melissa Sims
                          (started 1/20)

                                                    Sophie Lee (UG)

   Denotes U.S. citizen
Maximizing reliability and information content of ramp compression experiments with in situx-ray characterization - (DE-NA0003902)
Publications and presentations
Publications: None to date (several in preparation)
Presentations:
 1.    T.C. Hufnagel, “Quantitative x-ray phase contrast imaging during dynamic deformation and fracture.” 2 1 st Biennial
       Conference of the APS Topical Group on Shock Compression of Condensed Matter (SHOCK1 9 ), Portland, Oregon,
       June 1 8 , 2 019 (plenary)
 2 . T. C. Hufnagel, “Life and death of materials in the fast lane: Deformation and fracture under dynamic loading.”
       Department of Materials Science and Engineering, Cornell University, Ithaca, New York, September 1 9 , 2 0 1 9 .
 3 . T. C. Hufnagel. “Stuck in flatland: W hat to do w hen you can't do 3 D.” 2 0 1 9 Momentum Initiative W orkshop on
       Advanced Probes and Data Analytics for Enabling 3 -D Imaging Under Dynamic Conditions , Santa Fe, New Mexico,
       August 2 9 , 2019 (invited)
 4 . T.C. Hufnagel et al. “Quantitative x-ray phase contrast imaging of granular media under dynamic impact.” TMS
       Annual Meeting, San Diego, California, February 25, 2020 (invited)
 5 . J. K. W icks. “In situ X-ray diffraction of metals and metal alloys under dynamic compression” The 27 th AIRAPT
       International Conference on High Pressure Science and Technology, Rio de Janeiro, August 5 , 2 0 1 9 (invited)
 6 . J. K. W icks. “Phase transitions and melting of SiC and MgO along the Shock Hugoniot” American Geophysical Union
       Fall Meeting, San Francisco, California, December 11, 2019 (invited)
 7 . J. K. W icks. “Novel Experiments for Understanding the Interior of Earth, Planets and Exoplanets” American
       Geophysical Union Fall Meeting, San Francisco, California, December 11, 201 9 (invited)
 8 . J. K. W icks. “Dynamic compression experiments to explore planetary interiors.” School of Earth and Environmental
       Science, Seoul National University, Seoul, South Korea, January 10, 2020.
 9 . J. K. W icks. “MgO-- the Simplest Oxide.” Department of Geological Sciences Seminar, Stanford University, Palo Alto,
       California, February 11, 2020.
 1 0 . J. K. W icks. “MgO-- the Simplest Oxide.” Department of Geological Sciences Colloquium, CU Boulder, Boulder,
       Colorado, February 20, 2020.
Maximizing reliability and information content of ramp compression experiments with in situx-ray characterization - (DE-NA0003902)
Program objectives

1. Develop validated strength models and pressure-density relationships for
   w indow materials (especially diamond and MgO) for ramp compression to
   pressures above 1 TPa.
2. Develop analytical and softw are tools for interpretation and simulation of x-
   ray diffraction (XRD) and x-ray phase-contrast imaging (XPCI) experiments
   at high rates.
3. Train undergraduate and graduate students in experimental techniques and
   model development relevant to the NNSA mission.
4. Offer short courses in experimental high-pressure physics and in situ
   characterization that can be accessed by researchers both in person and via
   the w eb.
Maximizing reliability and information content of ramp compression experiments with in situx-ray characterization - (DE-NA0003902)
What is ramp compression, and why do we do it?

        T. S. Duffy and R. S. Smith, Front. Earth Sci., 26 February 2019 | https://doi.org/1 0 .3 3 8 9 /feart.2 0 1 9 .0 0 0 2 3
Maximizing reliability and information content of ramp compression experiments with in situx-ray characterization - (DE-NA0003902)
Ramp compression with diamond & LiF windows

                          J. K. W icks et al. Science Advances 4 (4 ) eaao5 8 6 4 (2 0 1 8 )
                          10.1126/sciadv.aao5 8 6 4
Maximizing reliability and information content of ramp compression experiments with in situx-ray characterization - (DE-NA0003902)
Importance of window properties

                                         Much of the information available
                                         about behavior of materials under
                                         ramp compression (e.g. P-t
                                         history of the sample) is derived
                                         indirectly using wave propagation
                                         analysis of velocity signals (either
                                         sample/window interface or free
                                         surface).

                                         Doing this accurately requires
                                         detailed knowledge of the
                                         behavior of the window materials
                                         under ramp compression

                            J. K. W icks et al. Science Advances 4 (4 ) eaao5 8 6 4 (2 0 1 8 )
                            10.1126/sciadv.aao5 8 6 4
Maximizing reliability and information content of ramp compression experiments with in situx-ray characterization - (DE-NA0003902)
Characteristics of an ideal window material
   1 . Transparent to high P
   2 . W ell-characterized properties (equation of state)
       along both shock and ramp compression paths
   3 . W ell-defined refractive index as a function of
       density
   4 . W eakly scattering and absorbing (for x-ray
       diffraction)
Maximizing reliability and information content of ramp compression experiments with in situx-ray characterization - (DE-NA0003902)
Ramp compression with diamond windows
                             Backw ards characteristic approach using
                             diamond free-surface velocity as an
                             input, w ith experimentally-determined
                             equation of state (below ).

                             Problem: Not w ell-characterized above
                             800 GPa, and becomes opaque above
                             elastic limit.

                          J. K. W icks et al. Science Advances 4 (4 ) eaao5 8 6 4 (2 0 1 8 )
                          10.1126/sciadv.aao5 8 6 4
Maximizing reliability and information content of ramp compression experiments with in situx-ray characterization - (DE-NA0003902)
Ramp compression with LiF windows
                          Pressure determination for ramp
                          compression experiments w ith LiF
                          w indow s.

                          Only useful to ~500 GPa due to a phase
                          transition or melting .

                          Forw ard modeling using iterative
                          hydrocode calculations to match measured
                          velocity of the sample/LIF interface.

                          J. K. W icks et al. Science Advances 4 (4 ) eaao5 8 6 4 (2 0 1 8 )
                          10.1126/sciadv.aao5 8 6 4
Automated iterative forward modeling
                                 Iterative forw ard modeling by hand
                                 is tedious and slow .

                                 W rote object-oriented Python
                                 w rapper around HYADES
                                 simulation w ith optimization to
                                 enable near real-time data
                                 reduction to determine sample
                                 pressure.

                                 Conner Krill (JHU B.S. 2 0 1 9 )
                                 Collaborators: Suzanne Ali, Ray Smith (LLNL)
Automated iterative forward modeling
One key aspect of the success of this
undergraduate student project was the
summer in Livermore, which allowed for him
to complete his work and add to the tools
used by both Livermore and Hopkins.

For example, he left behind a GUI for us to
set up HYADES runs in multiplet.

     Connor at LLNL Aug
     2019
Phase transition behavior of MgO under ramp
   ● In order to better exploit MgO as a w indow
     material, w e need understanding of:
      ○ Phase transition boundaries
      ○ Anisotropy in strength and phase transition
         kinetics
   ● Conducted preliminary experiments through
     time in the LBS program for Fe-Si ramp
     compression (Smith, LLNL and W icks, JHU)

                   B1 structure
                   (NaCl, rock salt)

                                       B2 structure
                                       (CsCl)

                                                      Diagrams from Wikipedia
Phase transition behavior of MgO
                                On shock compression MgO basically stays
                                a single crystal on shock compression in the
                                B1 stability field.

                                We can describe the B2 observed patterns
                                as fiber texture, which would support a
                                Buerger-type transition mechanism

J.K. Wicks et al. (in prep)                       Sims PRB (1998)
Phase transition behavior of MgO

Data collected at Omega January 2020 –
preliminary analysis of MgO[100]
X-ray phase contrast imaging (XPCI)
   Absorption contrast                                 Phase + absorption
     (radiography)                                         contrast

                   Quartz single crystal imaged with
                   increasing propagation distance
                   (APS/DCS)
Modeling x-ray phase contrast image formation

                    Model of object     XPCI image
3D information encoded in XPCI
Modeling x-ray phase contrast image formation

Represent features (voids, particles)
  as randomly-oriented ellipsoids

                          Power spectrum of ellipsoids
                       maps on to spherical power spectrum
Example: Dynamic wedge impact on sandstone
Moving forward: ML analysis of XPCI data

  Done: Python
  translation of code for
  XPCI simulation of
  virtual microstructures

  Beamtime scheduled
  for April 2020 for
  collection of training
  and validation XPCI
  data (APS Sector 2)
Plans for the coming year
 1. MgO window development
    a) Improve diffraction conditions (geometry and energy) for improved
       azimuthal access to better understand B1-B2 transformation
    b) Expand to other orientations (applying to Omega-EP through
       LaserNet)
 2. X-ray diffraction development
    a) Crystallographic texture forward modeling
    b) Build up student expertise in DCS/LCLS experiments
 3. X-ray phase contrast imaging development
    a) Collect x-ray CT data for training/validation of neural network (April
       2020)
    b) Building and train neural net
 4. Workforce development
    a) Bring on 1-2 new PhD students
    b) Offer short course
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