A multiscale approach towards mesostructured porous material design (MULTIMAT)


Project leader


Funding source

Marie Skłodowska Curie (MSCA)


Project Details

Start date: 01/03/2016
End date: 29/02/2020
Funding: 3378227 EUR


Description

"MULTIMAT addresses (1) the industrial and societal need for affordable materials that have a highly defined and large porosity together with the required (mechanical, chemical and/or thermal) robustness for application in thermal insulation, catalysts, fuel cells and oil spill remediation and (2) the scientific need to better understand the mechanisms underlying the assembly of small building blocks into larger structures that are ordered hierarchally across multiple scales ("multiscale assembly"). Together this will contribute to achieving MULTIMAT's future aim: Understanding and ultimately steering the bottom-up construction of materials with complex hierarchical structures.

MULTIMAT will train a next generation of scientists (13 ESRs) able to master this complex design-and-assembly process.

The MULTIMAT research activities include 1) the design and synthesis of building blocks with tailor made shapes and sizes, 2) their (co)-assembly into ordered structures with predefined mesoscale organisation, 3) the in-situ analysis of the development of morphology of structure during these processes, 4) the simulation of the structure formation from the molecular to the mesoscale level and the prediction of related physical properties, 5) the evaluation and testing of the properties and performance in selected technological applications.

MULTIMAT brings together leading scientists from all relevant disciplines, and a large number of industrial partners, multinationals as well as SMEs. This strong involvement of industry clearly demonstrates the need for researchers educated in steering colloidal self-organisation. Direct outcomes of the project will include novel building blocks, (super-)porous materials with outstanding properties and novel tools for in situ imaging and molecular modelling."


External Partners


Last updated on 2018-11-12 at 09:43