The Eva Olsson research division is involved in the design and tailoring of materials to enable new sustainable solutions for energy harvesting, energy storage, energy consumption, catalysis, quantum technology and the use of soft matter in applications such as coatings for controlled drug release and solar cells. The function of the materials depends on the atomic structure where individual atoms play a role and also their exact position. We are using high spatial resolution imaging, spectroscopy and in situ techniques to quantitatively study the material structure (including techniques with high spatial precision in determining the position of atoms (1 pm), high energy resolution to determine electronic structure and high spatial precision in situ for electrical, mechanical, optical and thermal manipulation) and correlate the structure to properties.
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RECENT NEWS & EVENTS
September 25th, 2020: Cecilia Fager, Eva Olsson and Niklas Lorén have published the paper "3D high spatial resolution visualisation and quantification of interconnectivity in polymer films" in International Journal of Pharmaceutics. This paper describes how to 3D visualise and quantify interconnectivity in porous materials. You can find the paper here.
June 28th, 2020: Cecilia Fager, Eva Olsson and Niklas Lorén have published the paper "Three‐dimensional reconstruction of porous polymer films from FIB‐SEM nanotomography data using random forests" in Journal of Microscopy. This paper describes how to segment FIB‐SEM tomography data using random forests. You can find the paper here. June 11th, 2020: We wish to congratulate Ph.D. Cecilia Fager on her excellent dissertation entitled "Quantitative 3D Reconstruction of Porous Polymers using FIB-SEM Tomography - Correlating materials structures to properties of coatings for controlled drug release" and defence. You can view the thesis committes announce decision below. June 11th, 13:15, 2020: Cecilia Fager defend her dissertation, "Quantitative 3D Reconstruction of Porous Polymers using FIB-SEM Tomography - Correlating materials structures to properties of coatings for controlled drug release", In this work the focus is on the understanding of the correlation between the microstructure and materials properties of phase-separated polymer coatings. We acquired high spatial 3D resolution data on microporous ethyl cellulose and hydroxypropyl cellulose coatings using FIB-SEM tomography. We optimised the FIB-SEM parameters and established a generic protocol for porous and poorly conducting materials in order to overcome challenges such as redeposition, curtaining, shadowing effects, charging and sub-surface information due to the pores. In addition, a new self-learning segmentation algorithm was introduced to enable an automatic separation between pores and matrix. The quantification of the porous network was carried out by determining the pore size distribution, tortuosity and interconnectivity. As a final step, diffusion simulations were performed on the FIB-SEM data and correlated with experimentally measured permeability. You can view the defence here.
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