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The 3C Summer School targets undergaduates students and early master students curious about computational chemistry, materials science and Artificial intelligence. The school focuses on the computational study of Metal-Organic Frameworks (MOFs), spanning methods from first-principles (ab-initio) simulations to classical mechanics and artificial intelligence. Participants will explore how quantum chemistry and force field-based approaches are used to investigate the structural, dynamic, and adsorption properties of MOFs. The program also includes hands-on sessions on machine learning applications, showcasing how data-driven methods accelerate materials discovery and design. This multidisciplinary curriculum aims to equip attendees with both theoretical understanding and practical skills across modern computational chemistry techniques and to inspire them to pursue careers in this exciting and rapidly evolving field.

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