Objective
Self-assembly is the key construction principle that nature uses so successfully to fabricate its molecular machinery and highly elaborate structures. In this project we will follow nature’s strategies and make a concerted experimental and theoretical effort to study, understand and control self-assembly for a new generation of colloidal building blocks. Starting point will be recent advances in colloid synthesis strategies that have led to a spectacular array of colloids of different shapes, compositions, patterns and functionalities. These allow us to investigate the influence of anisotropy in shape and interactions on aggregation and self-assembly in colloidal suspensions and mixtures. Using responsive particles we will implement colloidal lock-and-key mechanisms and then assemble a library of “colloidal molecules” with well-defined and externally tunable binding sites using microfluidics-based and externally controlled fabrication and sorting principles. We will use them to explore the equilibrium phase behavior of particle systems interacting through a finite number of binding sites. In parallel, we will exploit them and investigate colloid self-assembly into well-defined nanostructures. Here we aim at achieving much more refined control than currently possible by implementing a protein-inspired approach to controlled self-assembly. We combine molecule-like colloidal building blocks that possess directional interactions and externally triggerable specific recognition sites with directed self-assembly where external fields not only facilitate assembly, but also allow fabricating novel structures. We will use the tunable combination of different contributions to the interaction potential between the colloidal building blocks and the ability to create chirality in the assembly to establish the requirements for the controlled formation of tubular shells and thus create a colloid-based minimal model of synthetic virus capsid proteins.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
Call for proposal
ERC-2013-ADG
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Funding Scheme
ERC-AG - ERC Advanced GrantHost institution
22100 LUND
Sweden