Honors & Awards

  • NSF GRFP Award, National Science Foundation (April 2025)

Education & Certifications

  • Bachelor of Science, Brigham Young University, Mechanical Engineering (2025)

Contact

  • Academic
    sgsand@stanford.edu
    University - Student Department: Bioengineering Position: Graduate

Additional Info

All Publications

  • Observation and modeling of strain gradients in AA6016-Influence of length-scale, microstructure, and strain path MATERIALS CHARACTERIZATION Sanderson, S. G., Najmabad, S., Sharma, R., Neville, T., Webb, A., Miles, M. P., Knezevic, M., Fullwood, D. T. 2025; 222

    View details for DOI 10.1016/j.matchar.2025.114843

    View details for Web of Science ID 001428711400001

  • Characterizing Temperature-Dependent Acoustic and Thermal Tissue Properties for High-Intensity Focused Ultrasound Computational Modeling INTERNATIONAL JOURNAL OF THERMOPHYSICS Sanderson, S. G., Easthope, B., Farias, C., Doddridge, I., Cook, J. A., Dahl, D. B., Dillon, C. R. 2024; 45 (10)

    View details for DOI 10.1007/s10765-024-03436-x

    View details for Web of Science ID 001321789100002

  • Investigating the Feasibility of Focused Ultrasound Actuation of Shape Memory Alloy ASME 2024 Conference on Smart Materials, Adaptive Structures and Intelligent Systems Chipana, A., Moore, J., Hancock, M., Sanderson, S. G., Hill, J. R., Dillon, C. R. 2024

    View details for DOI 10.1115/SMASIS2024-140106

  • Determining Grain Boundary Position and Geometry from EBSD Data: Limits of Accuracy. Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada Fullwood, D. T., Sanderson, S., Baird, S., Christensen, J., Homer, E. R., Johnson, O. K. 2022; 28 (1): 96-108

    Abstract

    As the feature size of crystalline materials gets smaller, the ability to correctly interpret geometrical sample information from electron backscatter diffraction (EBSD) data becomes more important. This paper uses the notion of transition curves, associated with line scans across grain boundaries (GBs), to correctly account for the finite size of the excitation volume (EV) in the determination of the geometry of the boundary. Various metrics arising from the EBSD data are compared to determine the best experimental proxy for actual numbers of backscattered electrons that are tracked in a Monte Carlo simulation. Consideration of the resultant curves provides an accurate method of determining GB position (at the sample surface) and indicates a significant potential for error in determining GB position using standard EBSD software. Subsequently, simple criteria for comparing experimental and simulated transition curves are derived. Finally, it is shown that the EV is too shallow for the curves to reveal subsurface geometry of the GB (i.e., GB inclination angle) for most values of GB inclination.

    View details for DOI 10.1017/S1431927621013611

    View details for PubMedID 35177139

https://orcid.org/0009-0003-7442-3612