The Arab Institute for Industrial and Mining Training and Consultancy, affiliated with the Arab Organization for Industrial Development, Standardization and Mining, held a remote training course from 3–6 February 2026 entitled: “Hydrogen Storage in Materials: Analysis Using Density Functional Theory and Artificial Intelligence.”
The course aimed to provide a comprehensive scientific and practical framework on hydrogen storage in materials as one of the fundamental pillars of clean and sustainable energy systems. It combined the theoretical foundations of materials science with advanced computational modeling, highlighting the pivotal role of Density Functional Theory (DFT) and artificial intelligence (AI) and machine learning (ML) techniques in accelerating discovery processes and predicting material properties.
The course addressed several key topics, including an introduction to hydrogen technologies and the principles of hydrogen storage in clean energy systems; the fundamentals of Density Functional Theory and its applications in materials science; atomic and electronic modeling of hydrogen storage materials; the use of artificial intelligence and machine learning in predicting material properties; and the integration of DFT results with AI techniques to discover promising new materials.