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🎉 Welcome to 3C Summer School Vol. 3

We are excited to invite you to 3C Summer School Vol. 3!

The Computational Chemistry Crete Summer School focuses on the advanced computational modeling of Metal–Organic Frameworks (MOFs) and related porous materials.

The program is primarily targeted at students interested in gaining practical experience in:

🔹 Ab-initio methods
🔹 Grand Canonical Monte Carlo simulations
🔹 Molecular Dynamics
🔹 Modern applications of Artificial Intelligence and Machine Learning


🎯 Objective

The objective of the school is to bridge theory and practice through a combination of lectures and hands-on training, with a strong focus on modern computational methods used in both research and industry.


📚 Program Tracks

The summer school is organized into four main thematic modules. Each section below contains tutorials and hands-on materials.

⚛️ Ab Initio Methods

Electronic structure methods and first-principles simulations of materials.

👉 Explore Ab Initio


🌡️ Molecular Dynamics (MD)

Atomistic simulations of dynamic processes in materials and molecular systems.

👉 Explore MD


🧪 Grand Canonical Monte Carlo (GCMC)

Statistical mechanics approaches for adsorption in porous materials.

👉 Explore GCMC


🤖 Machine Learning in Materials Science

Data-driven methods and AI approaches for materials modeling and prediction.

👉 Explore ML


🧭 How to use this repository

Each folder corresponds to a lecture track and contains:

  • 💻 Hands-on tutorials
  • ⚙️ Software installation and setup instructions
  • 🧪 Example scripts and exercises

We recommend exploring the tracks based on your interests or following them sequentially if you are new to the field.


🚀 Getting started

Choose a topic above and begin your journey into computational materials science.

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