About ChemE Toolbox
ChemE Toolbox started as a personal project, and currently serves as a place to host my process heat integrator. I originally created the integrator program as an undergrad to help optimize the design of my team's chemical plant for my senior design project. It written in horrifically bad MATLAB code, but I recently decided to rewrite it in significantly better Python code so I could host it online. My hope is that many chemical engineering students will be able to design better, more sustainable processes using the integration tool, while also saving themselves from many hours of tedious hand calculations.
For more specific information regarding the integration program and how it works, see the help icon on the integrator page.
The hallmark of any good tool is that it is useful for solving problems, so I'm always looking for ways to improve the usefulness and user-friendliness of ChemE Toolbox. To that end, please leave me any feedback, good or bad, right here.
Additionally, if you're a chemical engineer or chemical engineering student and you have any ideas or requests for future additions to this site, please send me your feedback here!
Potential Future Projects
- Implement heat exchange network for process integrator
- Mass transfer demo using kinetic Monte Carlo
- Liquid-liquid extraction simulator
Howdy! My name is Nathan Sanders, and I'm currently a master's student studying computer science at the University of Illinois at Urbana-Champaign. I have a diverse set of academic and professional interests, including software engineering, web development, Bayesian modeling, machine learning, and numerical methods. I'm also a proud former student of Texas A&M University, where I studied chemical engineering as an undergraduate.
My hobbies include hiking, reading, learning Mandarin, playing ultimate frisbee, and experiencing intense disappointment anew every November when the Texas A&M football team takes the field.
If you want to get in touch with me, shoot me an email at email@example.com!
- Distributed Systems
- Natural Language Processing
- Cloud Networking
Next Semester's Coursework
- Advanced Bayesian Modeling
- Applied Machine Learning
- Parallel Programming