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Jin Hyun Chang is an Associate Professor at the Technical University of Denmark, focusing on advanced computational materials science, particularly in the areas of machine learning and electrocatalysis. His recent research interests involve the integration of computational methods with experimental workflows to accelerate the discovery of catalytic materials for sustainable energy applications. He has supervised multiple PhD students on projects related to the development of new electrocatalysts and the modeling of battery materials. His work contributes to UN Sustainable Development Goals through the exploration of materials aimed at reducing environmental impact and enhancing energy efficiency.
Technical University of Denmark • Kgs. Lyngby, Denmark
Teaching and researching in the field of computational materials science.
This requirement applies generally across Technical University of Denmark (DTU) MSc programs including Computer Science, Applied Mathematics, and Engineering disciplines. Specific prerequisites vary by department/curriculum.