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Antigravity Nano Research — Multiagentic Core

CI License Python 3.11

AI Applied to Scientific and Technological Research — Nanotechnology

A complete structured course (Units 1–6) to learn AI applied to nanotechnology — from molecular simulation to multi-agent systems and model deployment in production.

What is this?

This repository combines two fields that are rarely taught together:

  • Computational Nanotechnology: molecular dynamics (ASE), DFT, nanoparticle optimization, XRD analysis
  • Modern AI Systems: LLMs, multi-agent frameworks (Google ADK 1.0, CrewAI, LangChain), A2A protocol, RAG, production deployment

The result is a unique course for researchers and students in materials science, computational chemistry and nanotechnology who want to integrate AI into their work.

Course Units

Unit Topic Notebooks
Unit 1 Nanoscale Modeling 1
Unit 2 Advanced Molecular Simulation 2
Unit 3 Machine Learning for Nanomaterials 4
Unit 4 Applied AI to Nanotechnology 2
Unit 5 Multi-Agent Systems 9
Unit 6 Integration Project 6

Quick Start

git clone https://github.com/Multiagent-AI-Lab/Antigravity-Nano-Research-Multiagentic-Core.git
cd Antigravity-Nano-Research-Multiagentic-Core
setup.bat        # Windows
# or
./setup.sh       # Linux/macOS
conda activate ia_nano
jupyter lab

Key Technologies

  • Molecular Simulation: ASE, RDKit, OpenMM, GPAW
  • ML/AI: PyTorch, scikit-learn, Hugging Face
  • Multi-Agent: Google ADK 1.0, LangChain, CrewAI, LangGraph
  • Production: FastAPI, Docker, OpenTelemetry, Prometheus
Developed by @ljyudico — Apache-2.0 License