Ferroelectric Materials Property Prediction (CGCNN)
Automated data extraction from papers and trained CGCNN models on the resulting dataset.
physics × computer science
I am currently interested in neuromorphic computing. Namely, the requisite materials and method of action, and if it can or could be smaller than the 3lb human brain. I believe that using complex data collection using fundamental physics principles combined with machine learning techniques can help us better understand and design materials for this purpose.
FocusMaterials Research · Model Training
ToolsPython · CGCNN · Linux
Open toWork · Research
Featured projects
AI Assistant (Desktop)
FastAPI backend + HTML/JS front-end with KaTeX/Markdown; Arch + Hyprland integration.
Research
Exploring structure–property relationships in ferroelectrics and building robust LLM-assisted extraction pipelines for materials datasets.
Open to work and research collaborations.
About
Skills
Currently learning
Contact
Best way to reach me is email.