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Tejs Vegge is a Professor at the Technical University of Denmark, focusing on Autonomous Materials Discovery. His research is centered on integrated computational and experimental design for the characterization of novel materials, particularly in the fields of energy conversion and storage. Vegge leads the Autonomous Materials Discovery (AMD) section and directs several ongoing research projects, including the Pioneer Center for Accelerating P2X Materials Discovery and initiatives funded by the Independent Research Fund Denmark. He employs advanced methodologies such as Density Functional Theory (DFT) and machine learning to accelerate the discovery of sustainable materials for next-generation battery applications and other clean energy solutions. His contributions to the field have been recognized through various awards and active participation in conferences, with numerous publications detailing his innovative research efforts in catalysis and electrochemistry. Vegge is committed to advancing scientific knowledge while contributing to the UN Sustainable Development Goals through his research endeavors.
Technical University of Denmark • Kgs. Lyngby, Denmark
Leading research in autonomous materials discovery and application of computational methods in 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.