Academic Appointments


All Publications


  • Probing competing relaxation pathways in malonaldehyde with transient X-ray absorption spectroscopy CHEMICAL SCIENCE List, N. H., Dempwolff, A. L., Dreuw, A., Norman, P., Martinez, T. J. 2020; 11 (16): 4180–93

    View details for DOI 10.1039/d0sc00840k

    View details for Web of Science ID 000530491400012

  • Dalton Project: A Python platform for molecular- and electronic-structure simulations of complex systems. The Journal of chemical physics Olsen, J. M., Reine, S. n., Vahtras, O. n., Kjellgren, E. n., Reinholdt, P. n., Hjorth Dundas, K. O., Li, X. n., Cukras, J. n., Ringholm, M. n., Hedegård, E. D., Di Remigio, R. n., List, N. H., Faber, R. n., Cabral Tenorio, B. N., Bast, R. n., Pedersen, T. B., Rinkevicius, Z. n., Sauer, S. P., Mikkelsen, K. V., Kongsted, J. n., Coriani, S. n., Ruud, K. n., Helgaker, T. n., Jensen, H. J., Norman, P. n. 2020; 152 (21): 214115

    Abstract

    The Dalton Project provides a uniform platform access to the underlying full-fledged quantum chemistry codes Dalton and LSDalton as well as the PyFraME package for automatized fragmentation and parameterization of complex molecular environments. The platform is written in Python and defines a means for library communication and interaction. Intermediate data such as integrals are exposed to the platform and made accessible to the user in the form of NumPy arrays, and the resulting data are extracted, analyzed, and visualized. Complex computational protocols that may, for instance, arise due to a need for environment fragmentation and configuration-space sampling of biochemical systems are readily assisted by the platform. The platform is designed to host additional software libraries and will serve as a hub for future modular software development efforts in the distributed Dalton community.

    View details for DOI 10.1063/1.5144298

    View details for PubMedID 32505165

  • Beyond the electric-dipole approximation in simulations of x-ray absorption spectroscopy: Lessons from relativistic theory. The Journal of chemical physics List, N. H., Melin, T. R., van Horn, M. n., Saue, T. n. 2020; 152 (18): 184110

    Abstract

    We present three schemes to go beyond the electric-dipole approximation in x-ray absorption spectroscopy calculations within a four-component relativistic framework. The first is based on the full semi-classical light-matter interaction operator and the two others on a truncated interaction within the Coulomb gauge (velocity representation) and multipolar gauge (length representation). We generalize the derivation of the multipolar gauge to an arbitrary expansion point and show that the potentials corresponding to different expansion points are related by a gauge transformation, provided that the expansion is not truncated. This suggests that the observed gauge-origin dependence in the multipolar gauge is more than just a finite-basis set effect. The simplicity of the relativistic formalism enables arbitrary-order implementations of the truncated interactions, with and without rotational averaging, allowing us to test their convergence behavior numerically by comparison to the full formulation. We confirm the observation that the oscillator strength of the electric-dipole allowed ligand K-edge transition of TiCl4, when calculated to the second order in the wave vector, becomes negative but also show that inclusion of higher-order contributions allows convergence to the result obtained using the full light-matter interaction. However, at higher energies, the slow convergence of such expansions becomes dramatic and renders such approaches at best impractical. When going beyond the electric-dipole approximation, we therefore recommend the use of the full light-matter interaction.

    View details for DOI 10.1063/5.0003103

    View details for PubMedID 32414251

  • VeloxChem: A Python-driven density-functional theory program for spectroscopy simulations in high-performance computing environments WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL MOLECULAR SCIENCE Rinkevicius, Z., Li, X., Vahtras, O., Ahmadzadeh, K., Brand, M., Ringholm, M., List, N., Scheurer, M., Scott, M., Dreuw, A., Norman, P. 2019

    View details for DOI 10.1002/wcms.1457

    View details for Web of Science ID 000502095100001