This research comes as part of a broader resurgence of study on the electrical conductivity of glasses-and the mechanism for electronic motion in the amorphous network-spurred by interest in using glasses as matrices for solid-state batteries, taking advantage of the glasses' tailorable conductivity, chemical durability, and mechanical strength. The work presented in this study regards the preparation and characterization of some binary glasses belonging to the TeO 2-V 2 O 5 system. In particular, we focused on the glasses' electrical conductivity at room temperature and at higher temperatures as a function of the V 4+ ion content in the glass structure. The amount of V 4+ in the glass was determined by a colorimetric method. Moreover, density and thermal properties (T g , C p) were measured, and scanning electron microscopy (SEM) and X-ray diffraction (XRD) measurements were performed as well.

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The high cost and low image quality traditionally associated with proton computed tomography (pCT) have prevented it from seeing significant use in clinical settings. A cheap, compact, high-density scintillating glass detector capable of being attached to existing proton therapy gantries may help address these concerns. The design of the detector allows for use in conjunction with single-proton counting reconstruction algorithms, as well as beam-based algorithms that do not resolve individual protons within an accelerator bunch. This study presents quantitative reconstructed images of proton stopping power from Monte Carlo generated pCT scans using the radiation transport code MCNP6, demonstrating the feasibility of proton imaging using this detector design. Relative error and contrast have been examined and compared for images reconstructed using two reconstruction algorithms: a standard filtered backprojection algorithm to act as a benchmark, and a variant of a pCT algorithm which utilizes the concept of distancedriven binning.