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https://github.com/jcwang587/jcwang587
https://github.com/jcwang587/jcwang587
Last synced: about 1 month ago
JSON representation
- Host: GitHub
- URL: https://github.com/jcwang587/jcwang587
- Owner: jcwang587
- Created: 2024-05-08T19:50:47.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2024-10-25T00:29:38.000Z (2 months ago)
- Last Synced: 2024-10-25T06:26:01.207Z (2 months ago)
- Size: 1.49 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
### Hi there 👋
Visit my [personal webpage](https://jcwang.org/) for more details about my experience.
- 🎓 I am a UMass BTP Fellow and Douglas Fellow, currently a chemical engineering Ph.D. candidate at UMass Amherst.
- 💊 I am currently a Co-Op at Boehringer Ingelheim, focusing on the prediction of metabolic sites.
- 🔋 I am currently working on electrochemical systems for energy storage and conversion using computational methods.
- ⚛️ I am interested in visualizing chemical structures as artwork. You can view my work on my [Sketchfab webpage](https://sketchfab.com/gur0bi).
### Packages
- 🚌 [xdatbus](https://github.com/jcwang587/xdatbus) - A Python package for enhancing VASP AIMD simulations and analysis
[![Release](https://img.shields.io/github/v/release/jcwang587/xdatbus)](https://github.com/jcwang587/xdatbus/releases)
[![PyPI Downloads](https://img.shields.io/pypi/dm/xdatbus?logo=pypi&logoColor=white&color=blue&label=PyPI)](https://pypi.org/project/xdatbus)- 🔮 [cgcnn2](https://github.com/jcwang587/cgcnn2) - Reproduction of CGCNN with fine-tuning for predicting material properties
[![Release](https://img.shields.io/github/v/release/jcwang587/cgcnn2)](https://github.com/jcwang587/cgcnn2/releases)
[![PyPI Downloads](https://img.shields.io/pypi/dm/cgcnn2?logo=pypi&logoColor=white&color=blue&label=PyPI)](https://pypi.org/project/cgcnn2)### Courses
- 📝 [math modeling](https://jcwang.org/math-modeling) (In Development) - Chemical Engineering 231 Mathematical Modeling Spring 2025
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