Architecture

Authors: Mallory Hinton, Matthew Madsen, Raechel Hunsaker, April Hulet. Mentors: April Hulet. Insitution: Brigham Young University. Seeding plants post disturbance on rangelands is a challenge due to unique ecological and environmental conditions such as limited water availability, invasive species, soil health, and native seed supply. One of the key factors to address these challenges and have a successful seedings is understanding the relationships between soil characteristics and the plants that grow within them. Our research evaluated plant growth for seventeen grass species in two degraded rangeland soils (a mine tailings impoundment and Santaquin Wildlife Management Area) in Utah. Grasses (10 PLS/5cm 2 pot) were grown in self-watering growth trays in a complete, randomized block design with four replicates per soil type. After 21 days in the greenhouse, plant densities and aboveground biomass were collected and analyzed. Soils differed in mineral content. Iron and nitrogen were 5- and 4-fold greater in Tailings than Santaquin soil; phosphorus, magnesium, and organic matter were 5.5-, 4-, and 18-folds lower in Tailings than Santaquin soil. The average density of plants was significantly different (p < 0.0001) between the two soil types; in the Santaquin soil plant density was 5.73 plants/pot, in Tailings soil plant density was 2.20 plants/pot. No individual grass species were significantly different from each other in the Tailings soil (p = 0.51). However, individual grass species were significantly different from one another in the Santaquin soil (p = 0.05). Both Tailings and Santaquin soil types had the highest densities of slender wheatgrass (Elymus trachycaulus; 4.75 plants/pot and 8.25 plants/pot, respectively) and tall wheatgrass (Thinopyrum ponticum; 4.75 plants/pot and 10.25 plants/pot, respectively). Sandbergs bluegrass (Poa secunda) had the lowest density in both soil types (zero plants in Tailings soil and 2.50 plants/pot in Santaquin soil). To make informed decisions when selecting plant species for seed mixes, soil characteristics should be considered.

Authors: Allison Gabbitas, Kaitlyn Allen, Gene Ahlborn, Shintaro Pang. Mentors: Shintaro Pang. Insitution: Brigham Young University. Mycotoxin contamination on food and feed can have deleterious effect on human and animal health. Agricultural crops may contain one or more mycotoxin compounds; therefore, a good multiplex detection method is desirable to ensure food safety. In this study, we developed a rapid method using label-free surface-enhanced Raman spectroscopy (SERS) to simultaneously detect three common types of mycotoxins found on corn, namely aflatoxin B1 (AFB1), zearalenone (ZEN), and ochratoxin A (OTA). The intrinsic chemical fingerprint from each mycotoxin was characterized by their unique Raman spectra, enabling clear discrimination between them. The limit of detection (LOD) of AFB1, ZEN, and OTA on corn were 10 ppb (32 nM), 20 ppb (64 nM), and 100 ppb (248 nM), respectively. Multivariate statistical analysis was used to predict concentrations of AFB1, ZEN, and OTA up to 1.5 ppm (4.8 µM) based on the SERS spectra of known concentrations, resulting in a correlation coefficient of 0.74, 0.89, and 0.72, respectively. The sampling time was less than 30 min per sample. The application of label-free SERS and multivariate analysis is a promising method for rapid and simultaneous detection of mycotoxins in corn and may be extended to other types of mycotoxins and crops.

Authors: Raechel Hunsaker, Matthew Madsen, Mallory Hinton, Derek Tilley, April Hulet. Mentors: April Hulet. Insitution: Brigham Young University. Many early successional plant species have been considered weeds because of their lack of forage value for livestock. However, early successional plant species have the potential to aid rangeland restoration by providing food sources for pollinators, modifying soil in preparation for climax plant communities, and competing against invasive species. To determine which early colonizing species have the greatest restoration potential, interspecific competitive interactions should be evaluated. Our research objective was to evaluate the competitive abilities of two native pioneer forb species, curlycup gumweed (Grindelia squarrosa) and prairie aster (Machaeranthera tanacetifolia), against three common rangeland grasses including 1) native early successional species, bottlebrush squirreltail (Elymus elymoides), 2) invasive colonizing species, cheatgrass (Bromus tectorum), and 3) climax community species, bluebunch wheatgrass (Pseudoroegneria spicata). Treatments included each of the three grass species seeded at high and low densities with curlycup gumweed or prairie aster in two soils (mine tailings and disturbed rangeland) in a greenhouse. After being cultivated for 54 days, above-ground biomass for both forbs were not significantly different when seeded alone, or with high and low densities of grasses in the mine tailings soil (p ≥ 0.05). However, in soil from the disturbed rangeland, forb biomass differed. When planted alone, curlycup gumweed and prairie aster biomass was on average 2.5- and 3-fold greater than when planted with high and low densities of squirreltail and cheatgrass (p ≤ 0.05). Both forbs had significantly lower biomass when planted with a high density of bluebunch (p ≤ 0.05), however, when planted with a low density of bluebunch, biomass was not significantly different than when planted alone (p ≥ 0.05). Results indicate that high densities of squirreltail, cheatgrass, and bluebunch inhibit curlycup gumweed and prairie aster growth on disturbed rangeland soil, and that interspecific competition may be a barrier to the successful establishment of early successional forbs.

Authors: Reganne Leigh Hales, Laura Sutherland, Melissa Sanchez Herrera, Samantha Standring. Mentors: Seth Bybee. Insitution: Brigham Young University. We explore the phylogeny of Hetaeriinae using a targeted enrichment approach (AHE) on gDNA gathered largely from museums. AHE resulted in 20KB (18.5KB of nuclear and 1.5 of mitochondrial DNA) for each taxon. Previous research, based on sanger data generated from three genes, demonstrated that Hetaerina Hagen in Selys, 1853 is not monophyletic but no taxonomic changes were proposed due to the hope of one day having more data. Our goal for this research was to have a larger dataset to test the monophyly of Hetaerina and update the classification. Our results confirm those of the most recent phylogeny of Hetaerina: the genus is non-monophyletic. We recover Mnesarete Cowley 1934 and Ormenophlebia Garrison 2006 within Hetaerina. We have preliminary data (results not shown) demonstrating that both Iridictyon Needham & Fisher 1940 and Bryoplathanon Garrison 2006 are also within Hetaerina. However, due the placement of these genera there is not a clear way to retain these genera and it is likely they will need to be placed within Hetearina due to priority. We further explore the evolution of some characters associated with habitat preference.

Authors: Lauren Ford, Joel Woolley, Ryan Powers, Paulina Medellin, Hillary Wadsworth, Jordan Yorgason. Mentors: Jordan Yorgason. Insitution: Brigham Young University. Women prescribed psychostimulants have self-reported changes in drug efficacy that coincide with menstrual cycling. Furthermore, cocaine and amphetamine effects on dopamine (DA) transmission are more potent in female rodents, an effect that has been linked to cycling hormone levels. However, it is unknown if changes to DA transmission vary by specific psychostimulant, and striatal DA transmission has not yet been well characterized across the estrous cycle. The present study considers dopamine release and reuptake kinetics across various stages of the estrous cycle in the nucleus accumbens (NAc), a key region for dopamine-mediated learning. The effects of cocaine, methamphetamine, and methylphenidate on female dopamine transmission are examined using slice voltammetry. Our data shows that compared to a male control group, baseline (pre-drug) dopamine release in the NAc was lower in females overall, but not at all estrous stages. Applying increasing concentrations of cocaine or methylphenidate revealed similar patterns of enhanced, then diminished release in all mice. Methamphetamine decreased NAc dopamine release similarly in both males and females, but females in estrus were more affected than males, and those in met/diestrus less. Methamphetamine also slowed dopamine uptake in all mice, and at lower concentrations than cocaine or methylphenidate. We find minimal sex differences between cocaine and methylphenidate effects in the NAc, suggesting that the underlying cause of their observed behavioral sex differences may be specific to other striatal regions. On the other hand, methamphetamine-induced DA release fluctuates distinctly with the estrous cycle and peaks when estrogen levels are at their highest, indicating that estrogen and methamphetamine mechanisms share a target in NAc DA terminals that cocaine and methylphenidate do not. This work refines our understanding of DA transmission in females and indicates potential future directions for understanding female psychostimulant abuse.

Authors: Chad Hyer, Bradley Bundy, Tyler Free. Mentors: Bradley Bundy. Insitution: Brigham Young University. Current trends in healthcare suggest a movement towards point of care treatment and diagnosis. This transition towards local or even at-home testing necessitates dramatic decreases in costs of diagnostic methods. Cell-free protein synthesis (CFPS) systems prove a potential tool for bringing diagnostic solutions to patients by providing patients with inexpensive, easy to use, and accurate tests that can be stored for long periods of time at ambient temperature. These CFPS diagnostic methods rely on the production of biosensor proteins using isolated molecular machinery from bacterial cell lysates and necessary substrates. When combined with human body fluids, these biosensors can detect the presence of important biomarkers of disease, aiding in diagnosis.CFPS systems, however, can prove difficult to use with human body fluids as CFPS systems rely on mRNA directed production of proteins, and human samples contain significant concentrations of RNAses which inhibit the production of biosensor proteins, preventing proper test results. Traditionally, this issue can be remedied in a CFPS system using commercially sourced RNAse inhibitors, but these inhibitors dramatically increase prices. Here we report on our production of RNAse inhibitors within a CFPS system to decrease costs of CFPS diagnostics by 90%. In our work, we report on the optimization of reaction conditions for producing RNAse inhibitors within a CFPS glutamine biosensor for use as a cancer treatment monitoring diagnostic. Using our methods, we expect to be able to dramatically reduce the cost of CFPS based diagnostic tools, helping empower the shift to affordable point of care healthcare.

Authors: Eliza Ballantyne, Maria Lizio, Anshuman Chaturvedi. Mentors: Dustin Shipp. Insitution: Utah Valley University. We evaluate techniques for enhancing performance of Raman based classifiers of lung cancer and compare them to results from immunohistochemistry and hematoxylin and eosin (H&E) staining for fixed samples. In the United States, more patients die from lung cancer than from any other type, although it ranks as the third most common cancer. For patients with lung cancer, preserving the healthy bronchioles where cancer usually forms is vital to continued lung function. Raman spectroscopy is already a valuable asset in distinguishing between healthy tissue and many types of cancer and decreases discrepancies between diagnosis, saving medical resources and improving patient outcome. Lung cancer is especially challenging for Raman spectroscopy, in part because tar fluorescence often overpowers critical chemical features. We introduce measurement and classification approaches as the first step to overcome this challenge and create reliable Raman based classifiers for lung cancer. By working with fixed tissue sections, we avoid tar fluorescence and demonstrate the ability to detect tumors and premalignant abnormalities in lung tissue. These samples allow collaboration between adjacent sections in both H&E staining and immunohistochemistry. Furthermore, additional measurements of fixed sections can be acquired at any time. These advantages provide flexibility to acquire more detailed training sets, include more detail of any borderline cases, and compare Raman spectroscopy to more specialized histopathological techniques.

Authors: Caroline Torgersen, Tyler O'Loughlin, Ellie Evans, Vern Hart, Clint Flinders. Mentors: Vern Hart. Insitution: Utah Valley University. Stage-IV cancers are commonly identified by tumors having metastasized to other parts of the body. However, studies have shown that cancerous tissues often release “seeds” of circulating tumor clusters (CTCs) into the cardiovascular and lymphatic systems long before metastasized sections of the tumor are identifiable. These CTCs can circulate or remain dormant for long periods of time, even after the lesion is excised. In addition, these structures exist on scales that are not currently identifiable using conventional imaging modalities and are only detectable after being isolated. To address this issue, we demonstrate a simple optical diffraction system utilizing visible laser light and a beam profiler to collect speckle images from polystyrene microbeads (mimicking CTCs) flowing through an IV tube (mimicking a vein or artery). These scattering images were used to train a convolutional neural network, which was able to distinguish bead sizes ranging from 30 to 120 microns (comparable to the diameter of CTCs). A Softmax classifier was included with multiple target categories corresponding to different clusters sizes. As blood cells are significantly smaller (5-20 microns), this system could be used to non-invasively identify the presence of larger scatterers in a blood stream in situ, indicating the presence of CTCs, and providing a potential diagnostic biomarker for early-stage cancer.If a oral presentation is not available we would still love to present a poster.

Authors: Mohamed Askar, Matthew Roberts, Jeremy Matney, Andrew Larsen, Edwin Cansaya Sanchez. Mentors: Mohamed Askar, Matthew Roberts. Insitution: Southern Utah University. Stormwater infrastructures in the U.S. are aging and deteriorating, with most municipalities historically treating stormwater runoff or drainage problems during an emergency or structural failure. What if we could address such issues before they became problematic? Our main objective is to help decision-makers deal effectively with long-term control measures of the budget-limited, ambiguous, and inconsistently applied operation and maintenance of stormwater infrastructures. To this end, an innovative Five-Dimensional Assessment Model (5D-SAM) for the operation and maintenance of stormwater control measures will be developed and tested in the economically disadvantaged rural community of Cedar City, Utah. The model’s strategic approach will employ a prioritized list to create innovative green stormwater infrastructure solutions (clean-energy technologies) for sustainable urban development. The proposed 5D-SAM model includes research on its broader impacts, with a theoretical focus on the nexus of stormwater control measures and design to enhance urban sustainability and resilience. This focus is on the translational and transdisciplinary link between the operation and maintenance of stormwater research outcomes in Cedar City. Performance indicators of the stormwater system will be designed to assess five conditions: assets, functionality, time-effectiveness, cost-effectiveness, and environmental and social impact. 5D-SAM will calculate the performance/health index of the stormwater infrastructure, predict the future state, manage the quantity, and improve stormwater runoff quality. The built-in GIS database will aim to preserve the natural features and functions of stormwater infrastructures while providing a list of cost-effective and environmentally friendly alternatives if a distressed stormwater system is better off demolished, repaired, rehabilitated, or retrofitted. The model benefits society as it applies to other water infrastructure systems, including groundwater wells, dams, reservoirs, treatment facilities, sewer lines, flood prevention, and hydropower. Finally, the proposed research is a valuable and growing resource for students, faculty, urban researchers/practitioners worldwide, and the general public.

Authors: Davi Cavinatto. Mentors: Steven Allen. Insitution: Brigham Young University. Previous work indicates that magnetic gradients oscillating at the same frequency and direction as ultrasound (US) longitudinal displacement can encode particle movement into the complex phase of a magnetic resonance (MR) image. Until now, the coil configuration (Helmholtz) used to generate this oscillating magnetic gradient has constrained the use of this technique to small imaging volumes. Here, we explore the feasibility of using a single coil configuration to improve the versatility of the apparatus, making it possible to visualize US waves as they propagate through tissue that was previously inaccessible through the technique, such as the human brain. This novel approach to the visualization of US waves could potentially be used to establish the missing correlation between the results of neuromodulation treatments and their mechanism of action, thus improving the scientific rigor of this field of research.Wolfram’s Mathematica and COMSOL’s Multiphysics were used for developing a single-coil configuration in silico. The coil design was constrained by the minimum imaging distance from the coil (20mm), gradient needed for an image with signal-to-noise ratio of approximately 10 (0.4 T/m), minimum coil inner radius for fitting the US transducer (20mm), maximum peak current at the coil (20A), and frequency of operation (500kHz). Using Biot-Savart’s Law and Mathematica, we estimated the number of turns needed and the total length of the wire. In order to reduce the skin effect and proximity effect due to the frequency of operation (500kHz), a specific Litz wire configuration was chosen for the windings. Plots for the magnetic gradient over the central axis of the coil were created and compared on both programs to confirm the accuracy of the model.Plots of both the mathematical and in-silicon models matched and proved the high efficiency of the coil system at the frequency of application. The two magnetic field gradient plots corroborate the feasibility of the proposed single coil system for imaging US waves and verification of the functioning of neuromodulation in the extension of the cerebral cortex.

Authors: Kasielynn Bussard, Dakota Stringham. Mentors: Matthias Pleil. Insitution: Salt Lake Community College. We are two students from Salt Lake Community College who participated in a summer research workshop in the cleanroom at the University of New Mexico. We were taught the pressure sensor fabrication process, along with the post-production testing methods. For our research project we decided to test how using different biocompatible metals, and different combinations of said metals, for the circuit would affect the pressure sensors functionality. To test this, we prepped five 4” inch wafers and used photolithography to define the Wheatstone bridge pattern, followed by sputter metal deposition. When sputter coating, we coated each wafer in a Venn diagram pattern. This left us with two areas of a single metal on the outside edges, and an area in the middle with both metals present. We then measured the resistance of each section to determine how it changed with different metals.

Authors: Joshua Lim. Mentors: Nathan Crane. Insitution: Brigham Young University. Metal additive manufacturing (3D printing) technologies have evolved in the past decade to produce intricate parts in aerospace, car, and biomedical industries. While previous work has been done on single materials, metal-metal composites can expand performance but hasn’t been thoroughly explored. This work investigates ways of creating composites by molted bronze infiltration. At a certain temperature, bronze is melted and seeps through parts that are made via additive manufacturing. By altering the geometry of the pathways that the molten bronze will travel through or the metal particles themselves, one can create unique parts that control where the bronze infiltrates. Initial results indicate that mechanical properties were measurably strengthened by the addition of molten bronze and hypothetically could be used to create thermally graded parts, optimized for specific applications where heat transfer is a parameter of interest.

Authors: Aldo Chipana, Sarah G Sanderson, Joseph Moore, Jeffery R Hill, Christopher R Dillon. Mentors: Chris Dillon. Insitution: Brigham Young University. Nitinol shape memory alloys have shown immense promise in biomedical engineering, with their exceptional biocompatibility and corrosion resistance. Interestingly, most biomedical applications rely on Nitinol’s super elasticity rather than its hysteretic properties. Previous research in this lab has highlighted the challenges and potential of using focused ultrasound to effectively heat Nitinol wire without causing damage to adjacent tissue. Building upon these findings, our current study presents an extension of the initial experiments, incorporating more realistic in-body conditions. This includes simulating blood flow, which influences the heat transfer taking place in our control volume. Furthermore, we utilize artery mimicking materials to recreate the conditions of human arterial walls. Through comprehensive experimentation and accurate temperature measurements using embedded thermocouples, we aim to enhance our understanding of the interactions between Nitinol wires, surrounding tissues, and focused ultrasound heating. An integral part of our investigation is to discern whether the focused ultrasound directly heats the Nitinol wire or if actuation is achieved indirectly by heating the surrounding tissue. These results will offer insights into the applications of shape memory alloys in diverse biomedical settings, potentially paving the way for more effective and safer medical use.

Authors: Gabe Snow, Joseph Ward. Mentors: Cammy Peterson. Insitution: Brigham Young University. Unmanned aerial system (UAS) research is fast becoming an important area of development in commercial and military applications. As UAS become more prevalent commercially and recreationally, there is a growing need to accurately track large numbers of these aircraft. This is particularly important in compact urban environments where potential flight paths are limited. Our research team at BYU is developing the Local Air Traffic Information System (LATIS), allowing multiple radar ground stations to communicate and track UAS across multiple fields of view. One major component of this system is Recursive Random Sample Consensus (R-RANSAC)---an algorithm used to correlate and combine the data from multiple sources. The process a ground station uses for calibration is to collect Real-Time Kinematic Global Positioning System (RTK GPS) coordinates of a friendly UAS as it passes through the field of view of a station's radar. R-RANSAC is then used to a) filter noise from the raw radar data, and b) identify "tracks," or paths which UAS have followed, using temporal and spatial proximity. The Orthogonal Procrustes Problem then provides a method to rotate data from the local radar frame to the global frame. These steps can be done live or with recorded data. Following this, the calibrated radar uses R-RANSAC to filter data and identify passing UAS with high accuracy. Our contributions to the project are developing communication software, refining R-RANSAC, and helping to implement the whole system in flight experiments. We are continuing to work on analyzing the data taken from flight tests and publish the improvements of this system compared to existing methods.

Authors: Lais Oliveira, Corinne Jackson. Mentors: Spencer Magleby. Insitution: Brigham Young University. Space applications, such as LiDAR telescopes and reflectarray antennas, often need large arrays that deploy to meet specific mission requirements. These deployable arrays transform from a compact stowed volume to a large deployed surface area, and it is crucial for them to be light and compact with a high functional area. In this project we are improving the ratio with research in deployment by investigating the deployment of various array designs developed by the Compliant Mechanisms Research lab, intended for space applications. We obtain relative metrics, including the deployment energy curves for each design, so designs can be compared for specific applications. Specifically, we aim to assess each design’s compatibility with the aim to minimize volume and maximize surface area. This research will allow us to determine which deployment techniques can be combined, or design for external structures to aid in deployment, if needed, to create an efficient deployable array.

Authors: Davis Wing. Mentors: Larry Howell. Insitution: Brigham Young University. Origami-based mechanisms provide the opportunity for constructing highly compact systems for deployment in space and other applications. One pattern that shows great promise in this field is the flasher pattern, which unfurls a flat, rotationally symmetric arrangement of panels from a cylindrical spiral. The fold pattern is complex, and in attempting to better understand how it can be made from non-zero-thickness materials, and desiring a model which could be easily 3D printed, the following research was developed.As a result of this research, a flasher model was constructed which folds out to a deployed state that has almost triple the projected area of the stowed state. The idealized flasher was designed using Tessellatica, a program developed by Dr. Robert Lang. Turning the two-dimensional output from Tessellatica into a structure suitable for 3D printing required beginning with the stowed form of the flasher and thickening it across all panels. Fold lines were preserved at zero-thickness to ensure correct kinematics, and the bottom face of the model was constrained to be flat. Initial attempts at fulfilling these design requirements made apparent the need for more constraints, such as constraining the thicknesses of different panel sections to be proportional to their distance from the center and ensuring that the final unfolded state involved no overhangs.The final step in designing the model involved the implementation of living hinges. In a 3D printed design, living hinges offer mobility without assembly at the cost of being potential failure points, depending on print line orientations. Any hinge built from paths running in line with that hinge would immediately fail upon bending. The solution to this problem of parallelism was to use two layers with 0.1mm thickness on the bottom of the model, at 90° angles to one another. This allowed for all of the hinges, regardless of orientation, to be able to have the strength necessary to form a workable part.This research advances the manufacturability of zero-thickness origami patterns by providing models capable of being conveniently manufactured by anyone with a 3D printer. Specifically, it demonstrates a method for developing a zero-thickness model into a foldable structure of non-negligible thickness, and how to use default 3D slicer settings to build robust living hinges. The models have been uploaded on two popular file-sharing websites, Thingiverse and Printables, and have been downloaded hundreds of times.

Authors: Joseph Moore. Mentors: Jeff Hill. Insitution: Brigham Young University. Shape memory alloys are extensively utilized in many industries due to their ability to return to a predefined shape when heated. For medical applications, Nitinol, a nickel-titanium shape memory alloy, holds significant favor due to its biocompatibility and super elasticity. Since its discovery in the early 1960s, Nitinol has been the subject of ongoing research and fresh insights into how this alloy operates are of great importance to the industry.Nitinol wires sourced from manufacturers exhibit substantial uncertainty in their actuation temperature, also known as the austenite finish temperature. This study aims to investigate a heat-treatment method that can reduce these uncertainties, ultimately narrowing down the precise and consistent austenite finish temperature for two types of Nitinol wire: a single wire and a coiled variant.To achieve this, Nitinol samples were subjected to heat treatment in a furnace, with temperature and time parameters ranging from 500 to 650 °C and 5 minutes to 2 hours. Subsequently, the austenite finish temperature was triggered and recorded by immersing the heat-treated samples in degassed and deionized water at a controlled temperature.This research defines a straightforward yet effective approach that produces dependable results under controlled conditions. This method has the potential to streamline the determination of austenite finish temperatures, making future research more efficient. It may also open doors for innovative and efficient methods investigating the impact of heat treatment on Nitinol wires.

Authors: Benjamin Merrell. Mentors: Preston Manwaring. Insitution: Brigham Young University. Stage 1 and 2 labor is often characterized by manual examination of the maternal pelvis for fetal position and continuous monitoring by fetal cardiotocography. This practice has not changed in decades despite newer technology becoming available. Manual pelvic examinations have wide inter-examiner variability. Newer technology requires education and training. Unfortunately, both the decades old standard of care and newer technologies target Western markets with high reimbursements. Our lab is seeking to develop simple, robust, reliable, and low-cost technologies for low- and middle-income countries (LMICs) that don’t require the extensive education and training of modern western medical technologies. To facilitate this development, we, in collaboration with obstetric professionals, have created a 3D-printed test jig with a movable carriage that follows the normal path of fetal head delivery to test various stage 1 and 2 labor technologies in both dry and aqueous environments. Device requirements include: 1) delivery path must be representative of normal nulliparous and multiparous fetal head trajectories; 2) device must not utilize electronics or metal that could interfere with various tracking technologies; 3) device must provide a repeatable path for inter-technology evaluations; 4) device should allow for later expansion for higher-fidelity simulations. This presentation represents our early development work and initial outcomes.