Computational Science · Modelling · Image Analysis
Research
My research focuses on image and data analysis, physical modelling, numerical optimisation, and reproducible scientific software.
Research profile
I completed a PhD at the University of Iceland in 2021. My doctoral research focused on computational reconstruction and analysis of three-dimensional atomic structures of metal nanoclusters from aberration-corrected scanning transmission electron microscopy data.
Publications
Current unpublished manuscripts are listed below.
- K. Sukuta, M. Van den Bossche, A. Pedersen, and H. Jónsson — Nanocluster structure deduced from AC-STEM images coupled to theoretical modelling, Nanosystems: Physics, Chemistry, Mathematics 8(6), 723–731 (2017). DOI 10.17586/2220-8054-2017-8-6-723-731
Preprints
- K. S. Bersha, A. Peña-Torres, and H. Jónsson — From AC-STEM Image to 3D Structure: A Systematic Analysis of Au55 nanocluster, arXiv:2105.04270 (2021). Preprint.
Current manuscripts
- Geometry-Resolved Few-Body Decomposition of HAADF-STEM Image Formation — submission-ready unpublished manuscript.
- Geometry-Gated Interpretable Surrogates for HAADF-STEM Image Formation — submission-ready unpublished manuscript (Paper 2).
- Uncertainty-Aware Atomistic Inference from HAADF-STEM Images: Identifiability, Nuisance Propagation, and Prospective Experimental Qualification — submission-ready unpublished manuscript (Paper 3).
Core research themes
- Computational microscopy
- Atomic-resolution image analysis
- Numerical modelling
- Structural optimisation
- Scientific software development
- Model validation
- Physics-informed simulation
Current direction
Current work investigates geometry-dependent HAADF-STEM image formation, interpretable surrogate models, uncertainty-aware structural inference, and methods for validating those models against controlled reference simulations.