Bilde av Olsen, Jógvan Magnus Haugaard
Photo: Thomas Frandsen / VILLUM FONDEN
Bilde av Olsen, Jógvan Magnus Haugaard
Department of Chemistry jogvan.m.olsen@uit.no

Jógvan Magnus Haugaard Olsen


Adjunct Associate Professor, Theoretical and Computational Chemistry, Hylleraas Centre for Quantum Molecular Sciences


  • Maria-Andrea Mroginski, Suliman Adam, Gil S. Amoyal, Avishai Barnoy, Ana-Nicoleta Bondar, Veniamin A. Borin et al.:
    Frontiers in Multiscale Modeling of Photoreceptor Proteins
    Photochemistry and Photobiology 2021 FULLTEKST / ARKIV / DOI
  • Karen Oda Hjorth Dundas, Maarten Beerepoot, Magnus Ringholm, Simen Sommerfelt Reine, Radovan Bast, Nanna Holmgaard List et al.:
    Harmonic Infrared and Raman Spectra in Molecular Environments Using the Polarizable Embedding Model
    Journal of Chemical Theory and Computation 2021 ARKIV / DOI
  • Till Kirsch, Jógvan Magnus Haugaard Olsen, Viacheslav Bolnykh, Simone Meloni, Emiliano Ippoliti, Ursula Rothlisberger et al.:
    Wavefunction-Based Electrostatic-Embedding QM/MM Using CFOUR through MiMiC
    Journal of Chemical Theory and Computation 2021 ARKIV / DOI
  • Peter Reinholdt, Frederik Kamper Jørgensen, Jacob Kongsted, Jógvan Magnus Haugaard Olsen :
    Polarizable Density Embedding for Large Biomolecular Systems
    Journal of Chemical Theory and Computation 2020 ARKIV / DOI
  • Riccardo Capelli, Wenping Lyu, Viacheslav Bolnykh, Simone Meloni, Jógvan Magnus Haugaard Olsen, Ursula Rothlisberger et al.:
    Accuracy of Molecular Simulation-Based Predictions of koff Values: A Metadynamics Study
    The Journal of Physical Chemistry Letters 2020 ARKIV / DOI
  • Peter Reinholdt, Erik Rosendahl Kjellgren, Casper Steinmann, Jógvan Magnus Haugaard Olsen :
    Cost-Effective Potential for Accurate Polarizable Embedding Calculations in Protein Environments
    Journal of Chemical Theory and Computation 2020 ARKIV / DATA / DOI
  • Alireza Marefat Khah, Peter Reinholdt, Jógvan Magnus Haugaard Olsen, Jacob Kongsted, Christof Hattig :
    Avoiding Electron Spill-Out in QM/MM Calculations on Excited States with Simple Pseudopotentials
    Journal of Chemical Theory and Computation 2020 ARKIV / DOI
  • Maria Rossano-Tapia, Jógvan Magnus Haugaard Olsen, Alex Brown :
    Two-Photon Absorption Cross-Sections in Fluorescent Proteins Containing Non-canonical Chromophores Using Polarizable QM/MM
    Frontiers in Molecular Biosciences 2020 ARKIV / DOI
  • Maria Gabriella Chiariello, Viacheslav Bolnykh, Emiliano Ippoliti, Simone Meloni, Jógvan Magnus Haugaard Olsen, Thomas Beck et al.:
    Molecular Basis of CLC Antiporter Inhibition by Fluoride
    Journal of the American Chemical Society 2020 DOI
  • Viacheslav Bolnykh, Jógvan Magnus Haugaard Olsen, Simone Meloni, Martin P Bircher, Emiliano Ippoliti, Paolo Carloni et al.:
    MiMiC: Multiscale Modeling in Computational Chemistry
    Frontiers in Molecular Biosciences 2020 ARKIV / DOI
  • Trond Saue, Radovan Bast, Andre Severo Pereira Gomes, Hans-Jørgen Aa. Jensen, Luuk Visscher, Ignacio Agustín Aucar et al.:
    The DIRAC code for relativistic molecular calculations
    Journal of Chemical Physics 26. May 2020 ARKIV / DOI
  • Jógvan Magnus Haugaard Olsen, Simen Sommerfelt Reine, Olav Vahtras, Erik Kjellgren, Peter Reinholdt, Karen O.H Dundas et al.:
    Dalton Project: A Python platform for molecular- and electronic-structure simulations of complex systems
    Journal of Chemical Physics 2020 FULLTEKST / ARKIV / DOI
  • Casper Steinmann, Peter Reinholdt, Morten Steen Nørby, Jacob Kongsted, Jógvan Magnus Haugaard Olsen :
    Response properties of embedded molecules through the polarizable embedding model
    International Journal of Quantum Chemistry 2019 DATA / ARKIV / DOI
  • Jógvan Magnus Haugaard Olsen, Viacheslav Bolnykh, Simone Meloni, Emiliano Ippoliti, Martin Peter Bircher, Paolo Carloni et al.:
    MiMiC: A Novel Framework for Multiscale Modeling in Computational Chemistry
    Journal of Chemical Theory and Computation 2019 DATA / ARKIV / DOI
  • Maximilian Scheurer, Peter Reinholdt, Erik Rosendahl Kjellgren, Jógvan Magnus Haugaard Olsen, Andreas Dreuw, Jacob Kongsted :
    CPPE: An Open-Source C++ and Python Library for Polarizable Embedding
    Journal of Chemical Theory and Computation 2019 ARKIV / DOI
  • Viacheslav Bolnykh, Jógvan Magnus Haugaard Olsen, Simone Meloni, Martin Peter Bircher, Emiliano Ippoliti, Paolo Carloni et al.:
    Extreme Scalability of DFT-based QM/MM MD Simulations Using MiMiC
    Journal of Chemical Theory and Computation 2019 ARKIV / DOI
  • Maximilian Scheurer, Michael Herbst, Peter Reinholdt, Jogvan Magnus Haugaard Olsen, Andreas Dreuw, Jacob Kongsted :
    Polarizable Embedding Combined with the Algebraic Diagrammatic Construction: Tackling Excited States in Biomolecular Systems
    Journal of Chemical Theory and Computation 2018 DOI
  • Erik Rosendahl Kjellgren, Jogvan Magnus Haugaard Olsen, Jacob Kongsted :
    Importance of Accurate Structures for Quantum Chemistry Embedding Methods: Which Strategy Is Better?
    Journal of Chemical Theory and Computation 2018 DOI
  • Jonas Vester, David Carrasco-Busturia, Kenneth Ruud, Magnus Ringholm, Jógvan Magnus Haugaard Olsen :
    Benchmarks and Workflow for Fragment-based Polarizable Embedding (PE): Calculations of Harmonic IR and Raman Spectra
    2022
  • Jógvan Magnus Haugaard Olsen :
    Development of Multiscale Methods for Computational Biomolecular Spectroscopy
    2019
  • Jógvan Magnus Haugaard Olsen :
    Development of Multiscale Methods for Computational Biomolecular Spectroscopy
    2019
  • Jógvan Magnus Haugaard Olsen :
    Development of Multiscale Methods for Computational Biomolecular Spectroscopy
    2019
  • Peter Reinholdt, Frederik Jørgensen, Jacob Kongsted, Jógvan Magnus Haugaard Olsen :
    Polarizable Density Embedding in Protein Environments using Molecular Fractionation with Conjugate Caps
    2019
  • Jógvan Magnus Haugaard Olsen :
    Parallel Scalability of DFT-based QM/MM MD Simulations using the MiMiC Framework
    2019
  • Jógvan Magnus Haugaard Olsen :
    Towards Fast and Accurate Computational Spectroscopy of Biomolecular Systems
    2018
  • Jógvan Magnus Haugaard Olsen :
    Towards a General and Efficient Framework for Multiscale Modeling in Computational Chemistry
    2018

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