This site was designed to help students learn conceptually complex
STEM problems by giving them a more interactive way of engaging with
course material.
Our long-term vision is to create an open repository for a range of
visualization-based models: from interactive data visualization
(through plots) of system response to more advanced graphics-based
simulations of complex natural and engineered systems. Our models
cover a variety of different topics and subjects, hopefully you find
these to be useful!
- Mountaintop Summer Team
The Github repository containing all code and documentation related to this project can be found here.
Experiment with a simple classification problem, building your own model to predict the biodegradability of organic compounds. View the implementation and impact of machine learning in chemical engineering contexts.
Discover trends within a large dataset of catalysts through exploration. Use various data science and machine learning methods, such as supervised and unsupervised learning, to gain a deeper understanding of the data.
Delve into using a neural network to predict the outputs of a photobioreactor (PBR). Change the PBR's variables and the neural network's hyperparameters to create an optimized PBR system and an accurate evaluation.
Develop a direct air capture (DAC) system, a climate solution that filters out carbon dioxide from any point in ambient air. Modify the DAC's characteristics, observe its performance, and optimize its configuration.
Explore reaction kinetics, the branch of chemistry concerned with the rate of transformation of reactant into product. Observe the progression of a reaction through customizable inputs and dynamic output displays.
Follow the spread of infectious diseases through interactive visualizations of the Susceptible-Exposed-Infected-Recovered (SEIR) model. Adjust the characteristics of the outbreak to see the influence on infection.
Optimize a zero energy cool chamber (ZECC), a storage solution intended to preserve food in arid climates using passive evaporation. Evaluate the chamber's performance in different locations using the visualizations.
