<div>Two new Kolsky bar techniques were developed to address a lack of capability in existing torsion Kolsky bar experiments. The side-impact torsion Kolsky bar provides for controllable duration, amplitude, and shape of the incident torsion wave, allowing for more ideal conditions during dynamic torsion experiments. The technique provides an ideal platform to study dynamic friction as well as dynamic shear of a material. The technique makes use of soft pulse shapers to convert longitudinal loading into torsional loading. The technique also brought forth a secondary technique to allow combined dynamic compression and dynamic torsion for soft materials. The combined loading was applied to study both shear properties and the friction behavior of a</div><div>particle composite, which was imaged using x-ray phase contrast imaging. The same composite was studied with different surface conditions on the side-impact torsion Kolsky bar to discover the differences in behavior brought about by the choice of manufacturing method. The composite showed different friction behavior to metallic</div><div>materials, and exhibited much more shear deformation during the experiment. The composite was also prone to surface evolution, leading to complex friction behavior.</div>

Shape and attitude of near-Earth objects directly affect the orbit propagation via drag and solar radiation pressure. Obtaining information beyond the object states (position and velocity) is integral to identifying an object. It also enables tracing origin and can improve the orbit accuracy. For objects that have a significant distance to the observer, only non-resolved imaging is available, which does not show any details of the object. So-called non-resolved light curve measurements, i.e. photometric measurements over time can be used to determined the shape of space objects using a two step inversion scheme. It follows the procedure to first determine the Extended Gaussian Image and then going through the shape reconstruction process to retrieve the closed shape even while measurement noise is present. Furthermore, it is also possible to generate high confidence candidates when follow-up observations are provided through a multi-hypotheses process.

<p> Inclement challenges of a changing climate and humanity's desire to explore extraterrestrial environments both necessitate efficient methods to obtain freshwater. To accommodate next generation water technology, there is a need for understanding and defining the energy efficiency for unconventional water sources over a broad range of environments. Exergy analysis provides a common description for efficiency that may be used to evaluate technologies and water sources for energy feasibility. This work uses robust thermodynamic theory coupled with atmospheric and planetary data to define water capture efficiency, explore its variation across climate conditions, and identify technological niches and development needs.  </p> <p><br></p> <p> We find that desalinating saline liquid brines, even when highly saline, could be the most energetically favorable option for obtaining water outside of Earth. The energy required to access water vapor may be four to ten times higher than accessing ice deposits, however it offers the capacity for decentralized systems. Considering atmospheric water vapor harvesting on Earth, we find that the thermodynamic minimum is anywhere from 0x (RH≥ 100%) to upwards of 250x (RH<10\%) the minimum energy requirement of seawater desalination. Sorbents, modelled as metal organic frameworks (MOFs), have a particular niche in arid and semi-arid regions (20-30%). Membrane-systems are best at low relative humidity and the region of applicability is strongly affected by the vacuum pumping efficiency. Dew harvesting is best at higher humidity and fog harvesting is optimal when super-saturated conditions exist. Component (e.g., pump, chiller, etc.) inefficiencies are the largest barrier in increasing process-level efficiency and strongly impact the regions optimal technology deployment. The analysis elucidates a fundamental basis for comparing water systems energy efficiency for outer space applications and provides the first thermodynamics-based comparison of classes of atmospheric water harvesting technologies on Earth.</p>

<p dir="ltr">A better understanding of how aerosols interact with light is imperative as space telescopes unveil more about exoplanet atmospheres. To better understand how realistically shaped cloud condensates scatter light, I updated and tested the Exoplanet Cloud Ensemble Scattering System (ExCESS), which measures the scattering intensity and polarization of an ensemble of particles with respect to scattering angle at visible wavelengths. I used ExCESS to measure the scattering of cubic and irregular cuboid potassium chloride (KCl) particles, a likely cloud species in warm (T = 500 - 1000 K) mini-Neptune exoplanets like GJ 1214b. I then outline my changes made to the radiative transfer model, <i>PICASO</i>, that allow for a user-friendly and accurate method to compute reflected light phase curves. With this new capability, I explore the reflected intensity of Kepler-7b assuming different cloud condensates and particle sedimentation efficiencies, and I find that the cloud condensates Al₂O₃ and TiO₂ may contribute more to reflected light intensity than previously expected for hot Jupiters with heterogeneous dayside temperatures. In the final chapter, I input the laboratory data from ExCESS into the scattering functionality of <i>PICASO</i>. I compare single-wavelength (532 nm) reflected light phase curves of GJ 1214b created with rough scattering approximations to those created with robust non-spherical scattering approximations (ExCESS measurements and discrete dipole approximation). I find that two term Henyey-Greenstein phase functions, which act as a rough approximation to cloud scattering, may be useful for estimating the scattering of cubic and irregular particle shapes when rigorous laboratory measurements or non-spherical scattering approximations are unavailable.</p>