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    <loc>https://hyphae.la/our-work</loc>
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    <lastmod>2026-02-05</lastmod>
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      <image:title>Our Work</image:title>
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      <image:title>Our Work</image:title>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/5e0fe2e0019b062397122d84/c86865fe-b75d-45d7-a6a4-e64578eff14f/Working_Model_PS.gif</image:loc>
      <image:title>Our Work</image:title>
      <image:caption>The overall purpose of this model aims to analyze and document the movement of algal biomass throughout Lake Okeechobee. In doing this, we may establish a dynamic pattern or relationship between time and biomass movement. The model helps us elucidate the algae biomass that proliferates throughout certain times of the year as well as provides the designer a platform to analyze algae scums both spatially and temporally. The model has an algorithm that defines a spatial boundary around algae flotsam which may suggest areas of higher priority within the Lake Okeechobee boundaries. Although more dynamic than NCCOS’s representation of algae in Lake Okeechobee, the model can only reproduce daily imagery of Lake Okeechobee due to the Satellite’s orbital period. This means the model is limited in terms of temporal scale. With this, the data sensed by the Sentinel-3 is limited in terms of what is visible to the Satellite’s camera.</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/5e0fe2e0019b062397122d84/a494f07b-4d38-445c-b475-32374788afc1/St_Lucie_Estuary.gif</image:loc>
      <image:title>Our Work</image:title>
      <image:caption>This model aims to establish relationships between sediment drop-off and water salinity levels to communicate where algae typically proliferates. Cyanobacteria is a harmful, freshwater species of bacteria that is negatively impacted by sediment, therefore, it may be mitigated in areas where salinity fluctuates and deposition may occur due to suspended sediment drop-out. Major Limitations with this model found massive gaps in sensed data throughout the Estuary. Applying more sensing instruments in this Estuary may aid in understanding water quality impact.</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/5e0fe2e0019b062397122d84/e98dd8e6-7060-4308-be92-5b4427c98f58/Estuary+Clips.png</image:loc>
      <image:title>Our Work</image:title>
      <image:caption>Over time, the Estuary model catalogs specific moments and reveals a series of patterns and relationship between sensed phenomenon and potential outcomes. Though this process, managers may begin to understand the massive impacts freshwater discharge rates can have on the estuary. Over time, an AI algorithm may begin to learn from these scenarios and suggest how we may be more efficient with discharge rates in response to ecosystem health.</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/5e0fe2e0019b062397122d84/4d0a5150-c7da-49dc-a0e0-afca298691d5/Main_Final_Gif.gif</image:loc>
      <image:title>Our Work - Make it stand out</image:title>
      <image:caption>The existing C-44 Canal acts as a conduit for harmful algae to move between Lake Okeechobee and the St. Lucie Estuary. This experimental design study explores how modifications on the canal may impact algae proliferation and movement for biomass reduction and collection. The overall intent of this model includes developing interoperability between the Rhino and CCHE2D interface to provide the designer a place to investigate how channel hydromorphology may impact the travel, and livelihood, of algae scum.</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/5e0fe2e0019b062397122d84/b50b6dd7-9597-4b47-aea0-3a17339e8cc3/Recession_Final_GIF.gif</image:loc>
      <image:title>Our Work</image:title>
      <image:caption>Option A. This option encourages the swirling of waters through recessions near the shoreline. This swirling motion results in eddies that change in viscosity due to the discharging waters from the Port Mayaca Lock. Option A1 creates recessions opposite to one another down the stretch of the canal while Option A2 alternates the recession. It’s clear that Option A captures the most algae as seen in the composite line graph.</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/5e0fe2e0019b062397122d84/5e4e19e9-9cee-4a33-a13c-9d92b50561e6/Pockets_Final_GIF.gif</image:loc>
      <image:title>Our Work - Make it stand out</image:title>
      <image:caption>Option C. This option features a series of “pockets” which have topographic forms creating both 90 degree edges and 45 degree angles. This system allows for space to collect algae in eddies created by the pockets and create mixing throughout the entirety of the channel. As seen in the line graph above, this option captures more algae overall when compared to Options B &amp; D.</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/5e0fe2e0019b062397122d84/0bdcac46-b99f-41be-8d1a-af0e5b238951/Sine_Final_GIF.gif</image:loc>
      <image:title>Our Work</image:title>
      <image:caption>Option B. This Option is similar in concept to the option to the left, however it encourages mixing more evenly throughout the entire width of the channel. This option does a better job at reducing algae throughout the entire channel and is very responsive when discharges slow down over longer periods of time, as seen in the line graph around 06/09/2016 (See Line Graph Below).</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/5e0fe2e0019b062397122d84/7f87c56b-229d-43c8-9f70-d71b6ef8f665/Chevron_Final_GIF.gif</image:loc>
      <image:title>Our Work - Make it stand out</image:title>
      <image:caption>Option D. Similar to chevrons, this option features more angles to encourage mixing throughout the C-44 Canal. Akin to Option C, these pools were designed to slow water movement towards the shoreline while encourage more movement near the center of the channel. This option mitigates the most amount of algae due to higher levels of resuspended sediment that gets pushed upwards towards the water’s surface.</image:caption>
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      <image:title>Our Work - Make it stand out</image:title>
      <image:caption>The line graph above overlays discharge rates (left-side y-axis) and average microcsytin levels (right-side y-axis) in relation to the 4 options designed throughout this responsive modeling study. The gray dashed line expresses the existing channel. Here we may see how certain C-44 redesigns result in increased algal biomass or a reduction in microcystin levels due to sediment resuspension. It’s important to note that a reduction in algae biomass may not necessarily be favorable; it depends on the intention behind the modification throughout the C-44 canal. If we’d like to capture algal biomass, Option A clearly does a better job at slowing and capturing algae in pockets of eddys whereas Option D encourages more mixing and, therefore, algae cell flocculation.</image:caption>
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      <image:title>Our Work - Make it stand out</image:title>
      <image:caption>An Arduino Uno, Breadboard, and Water Temperature Sensors. This sensor was used to understand the relationship between cultured and non-cultured algae growth.</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/5e0fe2e0019b062397122d84/e1774374-1275-4b19-9326-52a6e18406cf/Experiment_Walkthrough_Crop.gif</image:loc>
      <image:title>Our Work - Make it stand out</image:title>
      <image:caption>Overall, this was an empirical study to learn from and reveal certain patterns in algae as a material and showcase the patterns produced by its growth cycle. In doing this experimental observation, the general nature of algae may be better understood and provide inspirational feedback for future studies. The data collected throughout this experiment is used later on in the rapid prototyping model exploration and confirmed many of the characteristics learned about algae in the earlier chapters.</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/5e0fe2e0019b062397122d84/735fc919-a6e8-4532-af45-5245bdb837c0/Woolverton_AlgaeasAgents_2021_Images.jpg</image:loc>
      <image:title>Our Work - Make it stand out</image:title>
      <image:caption>This model’s objective was to understand how the advances in additive manufacturing may be procured to alleviate algae issues throughout South Florida. This design process included the daily image output from the algae experiment and understanding how pattern may be abstracted and applied to a 3D printed surface. The result included a parameterized pattern of surface geometry and a computational fluid simulation of those surfaces. Each tile has it’s own advantages; however, as each form was prototyped and developed further, certain design parameters led to a more effective algae-catching tile design. The result of this study led to the concept of installing these tiles upon existing check-dams, spillways, and seawalls.</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/5e0fe2e0019b062397122d84/043d994b-5f4f-4324-a9cd-1712a0674ef1/Woolverton_AlgaeasAgents_2021_Prints.jpg</image:loc>
      <image:title>Our Work - Make it stand out</image:title>
      <image:caption>The primary approach to this model included the rapid prototyping of tile designs within the Grasshopper environment in conjunction with simulating water movement over tile surfaces. Tile prototypes were tested against gravity as they were printed out of a Cartesian-style 3D potter bot. Adjustments had to be made to account for sagging in the clay form and this was accomplished through the methodical bridging between the front and back walls of the tile.</image:caption>
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      <image:title>Our Work - Make it stand out</image:title>
      <image:caption>As the simulations were developed between Rhino and CCHE2D, certain patterns and bridging locations resulted in more or less eddy viscosity values - which is referred to as algae entrapment in Figure 4.14 and shown in the diagrammatic axons towards the bottom of the page. As tile designs were altered to become more structurally stable, simulations provided another inductive layer to the process. The parameterized script was a model responding to the effectiveness of certain patterns via simulation and the need for the tile to stand up appropriately. The mitigation of algae may be informed through smaller-scaled infrastructure aimed at both collecting and exposing algae in waterways. With this, the collection of algae may be advantageous in terms of reusing it’s rich oils for bio-fuels, fertilizers, and alginate in clay and ceramic products.</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/5e0fe2e0019b062397122d84/1be42fad-6d3c-4bfc-ad6d-72be86fab403/Squarespace.opt_Page_01.jpg</image:loc>
      <image:title>Our Work</image:title>
      <image:caption>The collection and form are inspired by self-organizing barnacles adapted to life at the intertidal zone. Their structure attaches directly to the substrate, helping barnacles survive in hazardous environments. The tiling forms at the bases give more information with increased aspect, varying heights, slopes, and apertures similar to the arrangement of barnacles. Creating a range of amplification in the walls with greater thickness at the base towards a thinner a wall at the top where support was necessary for success of the print. This gradient in thickness is similar to how successful pottery is formed on the wheel. Fologram, another great visualization tool was introduced to me called that expresses the diameter of the layer through a piped mesh.</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/5e0fe2e0019b062397122d84/06f31f8d-2fbb-4858-893d-7c1a9b8bb59c/Squarespace.opt_Page_02.jpg</image:loc>
      <image:title>Our Work - Make it stand out</image:title>
      <image:caption>When first setting up the printer, I adjusted the parameters in Simplify3D to slice the model to generate the print. This program provided a simple output for creating stacked layers. By having access to the gcode, I was able to produce a successful print finally. The gcode directly translates the model of the digital design to the printer. Without the translation of the gcode, the printer would not be able to print. It took months to set up the gcode properly to print! I started by printing the largest and most central barnacle and tried different rotation degrees at the top, fillet, and number of curves. I selected the central taller barnacles with greater apertures because I wanted the slope to be greater for the success of the print and wanted the light to enter the interior spaces. This form kept collapsing and knew that I could not proceed if I was unable to print the central barnacle successfully.The printing process required numerous tests to learn about the optimal clay consistency and design for creating successful interfaces. The geometry of the ten interfaces was adapted with a woven toolpath to create a gradation in amplification unique to each form. The gradation in amplification is essential to the structure and as a variable for the experiment. Surprisingly when the printer translated the interfaces from the digital model, they rotated in the opposite direction, interfering with tiling intention at the bases.</image:caption>
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      <image:title>Our Work - Make it stand out</image:title>
      <image:caption>The first site for moss collection was with Bruce McCune, Professor of Botany &amp; Plant Pathology at Oregon State University in Corvallis, Oregon. With his expertise in bryology, he identified the mosses harvested from rock, roof, and soil and tested the pH of the ceramic and clay substrate. When producing the clay and moss 3D integrated forms, more moss was needed and collected near Lawrence Hall at the University of Oregon and rocks from a neighborhood in southern Eugene. A range of unknown mosses were collected from the Eugene sites and were harvested from a harder substrate that demonstrated qualities similar to ceramic material.</image:caption>
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      <image:title>Our Work - Make it stand out</image:title>
      <image:caption>Purpose - The main experimental design of the four total experiments produced in this Master’s Project inquired about repeated forms on four unique substrates in a residential setting. This main experiment was the most rigorous of the four conducted experiments because it explored the formal design characteristics of the designed barnacle substrates individually, as a group of ten unique designs, four unique substrate groups, and additional process work. During week eleven of the experiment, a sweet gum tree growing southeast of the deck provided more consistent shade and cooler temperatures. During the midpoint assessment of the experiment, the attachment of the mosses was not correlated with a certain aspect.</image:caption>
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      <image:title>Our Work - Make it stand out</image:title>
      <image:caption>Field Notes: Week Eleven - 4/19/21 In tray 2 of ceramic with 10% sawdust burnout, barnacles 8 and 9 are showing green. In tray 3, barnacles 8 and 10 are showing green on the north side and inside. All have darker hue at the base. There is significant chipping at the tops of the tallest barnacles due to the salt crystals. In tray 4, all but barnacles 4 and 5 are showing green at the base. Barnacle 9 is the exhibits the most green on the Northwest side. In tray 5 of the process pieces, all show signs of protonema growth at the base. When misting the experiment, the upper mosses become unattached.</image:caption>
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      <image:title>Our Work - Make it stand out</image:title>
      <image:caption>Macrophotography images left to right: Protonema shown growing best on barnacle #9 of ceramic-only. Protonema growing along the interior of the barnacle on interface #10.</image:caption>
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      <image:title>Our Work - Make it stand out</image:title>
      <image:caption>Stereoscope images left to right. 16X amplification of unknown filamentous material on ceramic-only barnacle #9. 50X amplification of moss spores and rhizoid development on ceramic-only, barnacle #9.</image:caption>
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      <image:title>Our Work - Make it stand out</image:title>
      <image:caption>With the advanced technology of the Potterbot 7 model, I printed with more and harder clay which meant working on a larger scale, creating greater texture, and exploring overhangs with pockets. Taking the pocket concept forward from the flat panels of the rain screen, this idea was translated into a five-axis petal pocket form. The forms had various tiers of pockets, with varying distances between them. The internal and external geometries were enabled stacking. I was interested in adapting the concept of the stacking forms to create vertical impact and arraying them in one direction to create a screen system composed of Bryobricks. This rapid prototyping process was executed over the span of a week, and I tested seven prints, making adjustments for each except for the final design. I was curious if I could achieve a cleaner print with the final design by reprinting; however, it still did not materialize with the precision I intended for the pockets.</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/5e0fe2e0019b062397122d84/2d29d879-b060-486f-9918-86b774214270/Squarespace.opt_Page_10.jpg</image:loc>
      <image:title>Our Work - Make it stand out</image:title>
      <image:caption>Expanding on the design of the rapidly prototype bryobrick for the screen system, I was interested in creating three types of bryobeads that would stack on a stainless steel pipe. The varying patterning of small forms would increase surface area and create variable slopes that would cast shade and receive water. For the final phase of rapid prototyping, I chose geometry with five axes and a 32 percent rotation to create more variation, stability, and surface area. The three types of forms are called the base, shaft, and capital, borrowing language from the structure of a column. The three types hold the possibility to be positioned right-side-up and upside down.</image:caption>
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      <image:caption>After analyzing each of the experiment sites’ solar hours and solar radiation, it was important to integrate this data to inform the final speculative design work into a Bryobead Matrix. By connecting the geometry of the patterned bryobead pipes and the ground plane in Grasshopper, I was able to determine which places in the courtyard received 3.5 hours of sunlight per day. The geometry distributed into the shaded areas included the bryobead piped column with the third pattern, a 1’ radius circle at the ground level for holding moss and a rock, and a connecting irrigation zig zag pipe across the courtyard at Lawrence Hall at Lawrence Hall at the University of Oregon courtyard. Within Twinmotion, a range of views, seasons, and weather conditions are represented to show the aesthetics and function of the space.</image:caption>
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