Advanced Visualization for Nutrient Recovery
Searching for phosphates in tiny particles of dust and soot, using
advanced visualizations and data analysis of volume slices from XRF uCT
scans.
Searching for phosphates in tiny particles of dust and soot, using
advanced visualizations and data analysis of volume slices from XRF uCT
scans.
This project developed a specialized 3D visualization tool to explore how halogen crystal structures transform under extreme pressure, particularly focusing on incommensurately modulated structures that emerge during molecular dissociation. By enabling interactive visualization of complex atomic configurations and transitions, the tool helps researchers interpret structural phase changes that are otherwise difficult to analyze using conventional crystallographic methods.
This project explores ways of visualizing data concerning the literacy metrics of elementary school children in Sweden, collected using a sophisticated tool developed for this very purpose.
Displaying many dimensions of a dataset simultaneously presents its set of challenges. One way of going about dealing with these challenges is to present each data point, each “row” if you will, as a line across all axes parallel to each other. This project aim to provide a solution for any such dataset.
This project focused on developing a user-friendly and accessible pipeline for producing 3D models or ‘meshes’ from volumetric datasets, specifically for this case, in the domain of biology.
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This project aims to showcase the current theory for the dynamics of pollen grains inside the anthers of certain flowers, when bumblebees interact with them. This phenomenon is called ‘Buzz Pollination’.
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