Material structures seen through microscopes and statistics

Materials with new, unique, unforeseen and optimized properties lead to spectacular advances in technology for the health, energy, transportation, water management and food industries. In this project we will analyze and model soft material structures to reveal structure-mass transport relationships with large relevance to the Swedish drug, wound care and hygiene industries. Microscopy combined with quantitative image analysis provides a powerful tool for the analysis of the microstructure of materials. Stochastic models can be used to study the dependence between the geometry and the properties of a material. We will develop new statistical tools in order to construct materials with tailored mass transport properties. Since size distribution of the largest pores, percolation through the material structure, and connectivity of clusters of the largest pores play an important role in mass transport, we will develop tools based on extreme value theory and construct new spatial and spatio-temporal models for the microstructure of materials. Using such models we will be able to combine experimental characterization of a 3D structure and mass transport properties with systematic computer simulations of 3D structures. This knowledge will be used for structure design of soft materials with optimized properties. The project will be performed in collaboration with the VINN excellence centre SuMo Biomaterials at Chalmers and its industrial partners.

Participants

Aila Särkkä (contact)

Professor vid Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

David Bolin

Universitetslektor vid Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

Sandra Eriksson Barman

Doktorand vid Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

Cecilia Fager

Doktorand vid Chalmers, Physics, Eva Olsson Group

Charlotte Hamngren Blomqvist

Doktorand vid Chalmers, Physics, Eva Olsson Group

Marco Longfils

Doktorand vid Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

Niklas Lorén

Projektledare vid Chalmers, Physics, Eva Olsson Group

Eva Olsson

Professor vid Chalmers, Physics, Eva Olsson Group

Holger Rootzen

Professor vid Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

Mats Rudemo

Gästprofessor vid Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

Collaborations

SP Food and Bioscience

Borås, Sweden

Funding

Swedish Foundation for Strategic Research (SSF)

Funding years 2014–2019

Related Areas of Advance and Infrastructure

Sustainable development

Driving Forces

Materials Science

Areas of Advance

More information

Project Web Page at Chalmers

http://www.chalmers.se/en/projects/Pages/M...

Latest update

2015-11-04