Unit 4 — Applied AI to Nanotechnology
Overview
Large Language Models and Computer Vision applied to real problems in nanotechnology research.
Topics
- LLMs for materials science (Materials Project API + RAG)
- Computer Vision for SEM/TEM microscopy
- Spectroscopic analysis with AI (Raman, XRD)
- Time series analysis for MD simulations
- Bayesian optimization and evolutionary algorithms
Key Technologies
- Google Gemini / Gemma — LLMs for scientific Q&A
- Materials Project API — Experimental crystallographic database
- OpenCV / torchvision — Computer Vision
- scikit-optimize — Bayesian optimization
Learning Outcomes
- Build RAG pipelines with real crystallographic data
- Classify nanomaterials from SEM/TEM images
- Analyze Raman and XRD spectra with ML
- Optimize synthesis parameters with Bayesian methods