Section for Structural Analysis and Modelling (SAM)

We study functional materials using electron, X-ray, and neutron scattering and imaging, alongside analyses of magnetic, ionic, and thermal properties, with emphasis on in-situ and operando experiments. Modeling the macro- and microscale behavior is supported by AI and neural networks to enhance both experimental and computational methods.

We develop and apply multi-scale and multi-modal materials analysis and modeling in 2D and 3D to correlate the functional materials microstructure to the properties, performance, and lifetime of energy device components

The main research interests of the section are:

1. Advanced Structural Characterization: Utilizing electrons, X-rays, and neutrons for 2D/3D ex situ, in situ, and operando imaging and analysis, including techniques like high-resolution energy-resolved TEM, grazing incidence X-ray ptychography, X-ray diffraction and pair distribution function analysis, and energy resolved neutron imaging.
2. Functional Energy Materials: Research on permanent magnets, magnetic materials, caloric materials, organic solar cells, and next-generation batteries (e.g., sodium-ion, solid-state), with focus on intercalation mechanisms and structural changes during operation.
3. Multiscale Structure–Performance Link: Quantitative analysis of crystal structure, composition, and morphology to understand and predict performance and degradation in energy devices.
4. AI-Enhanced Modeling and Analysis: Applying artificial intelligence to analyze 2D/3D data, reconstruct microstructures, and couple them with multiscale modeling for materials design and optimization.

The section contributes extensively to teaching and development of education at all levels as hosting the department’s educational coordinator, the Head of Studies for BSc in “Teknologi” (DTU’s new all-digital BSc-programme 2023-), and the Head of the PhD school.