Karsten Wedel Jacobsen

Karsten Wedel Jacobsen is a Professor in the Department of Physics at the Technical University of Denmark (DTU), specializing in theoretical solid-state physics and computational materials design. His work focuses on quantum mechanical calculations for material design at the atomic scale, with applications in nanotechnology and energy-related materials. He has led major research centers like the Center for Atomic-scale Materials Design (CAMD) and contributed to open-source software like GPAW. He holds academic leadership roles, including directing CAMD and serving on DTU's educational committees.

Education: PhD in Theoretical Physics (University of Copenhagen, 1987), M.Sc. in Physics (University of Copenhagen, 1984).

Research Interests: Theoretical nanoscale physics, electronic structure methods, molecular electronics, and computational materials discovery. His research bridges quantum mechanics and practical applications, such as solar energy materials and catalyst design.

Publications & Trends: Over 218 publications, with recent work emphasizing machine learning in materials design, high-throughput screening for 2D materials, and computational studies of catalytic interfaces. Key themes include atomic-scale simulations, defect engineering, and energy-related material discovery.

• Scientific Honors:
  • Elected Member of The Danish Academy of Natural Sciences (DNA) (1994)
  • Elected Member of Danish Academy of Technical Sciences (ATV) (2001)
  • Reinholdt W. Jorch's Award (2004)

Advising & Grants: Supervised 25 PhD students, including current advisees working on electrosynthesis, electrocatalysis, and machine learning in quantum materials. Active in research funding through grants like the Danish Research Councils and the Lundbeck Foundation. Leads interdisciplinary projects on computational modeling and open-source software development.

Labs & Teams: Director of CAMD (2010–2012), a hub for atomic-scale materials design research. Collaborates globally through networks like CAMP and MIKA Advisory Board, advancing theoretical and computational methods in materials science.