Michal Repisky

Michal Repisky is a Researcher at the Department of Chemistry, UiT The Arctic University of Norway, and a member of the Hylleraas Centre for Quantum Molecular Sciences. His work focuses on developing advanced computational methods for relativistic quantum chemistry with applications to molecular property prediction.

Education:

• Ph.D. in Chemistry from Slovak Academy of Sciences (2009)

Research Interests: Repisky specializes in relativistic ab-initio electronic structure methods using two-component and four-component formalisms. His primary focus is magnetic resonance phenomena, supplemented by work in response theory for molecules and solids, real-time electron dynamics, and high-performance computing optimization. These interests drive innovations in computational accuracy and efficiency for predicting complex molecular behaviors under relativistic conditions.

Publication Trends: Recent publications (2023-2025) reveal concentrated advancements in relativistic density functional theory, particularly X2C Hamiltonian implementations and real-time TDDFT applications. Key developments target X-ray absorption spectroscopy near heavy-metal edges, chiral molecule analysis through electronic circular dichroism, and efficient algorithms for attosecond transient absorption spectroscopy, demonstrating consistent progress in bridging computational cost with relativistic accuracy.

Scientific Awards: No awards listed.

Advising and Grants: Actively supervises PhD candidates including Rasmus Vikhamar-Sandberg (2022-present), Marc Joosten (2017-present), Marius Kadek (2014-2018), and Lukas Konecny (2013-2017). Leads the ReSpect program development (www.respectprogram.org), a major relativistic quantum chemistry DFT package that serves as critical infrastructure for the global computational chemistry community.

Labs and Teams: Core member of UiT's Theoretical and Computational Chemistry research group and the Hylleraas Centre for Quantum Molecular Sciences, where he contributes to collaborative projects advancing quantum molecular science through cutting-edge computational methodologies and software development.