Internship and thesis proposals
Predicting the packing of nanorod mixtures

Domaines
Statistical physics
Soft matter

Type of internship
Théorique, numérique
Description
One interesting feature of nanoparticles is the fact that they can crystallize into a broad array of different crystal structures, depending on their shape and interactions. The experimental team of Cyrille Hamon at LPS is looking into the self-assembly of rod-shaped particles into structures that consist of layers of aligned rods [1]. Within these layers, the particles behave more or less as 2D objects, with a shape corresponding to the cross-section of the rod. Experimentally, this cross-section can be tuned to triangular, square, or pentagonal, such that a slice through one of the layers looks like a packing of polygons. The question is: what crystal structures could form in such a 2D system of polygons? When all particles have the same shape and size, we know the answer [2], but mixing different shapes or sizes opens the door to a variety of crystals. In this project, you will use specialized computer simulations [3] to explore the packing of mixtures of polygons, and in particular look for regimes where interesting structures emerge. These findings can then help guide future experiments. The ideal candidate has a strong background in statistical physics, as well as an interest in coding and/or computer simulations.

Contact
Frank Smallenburg
Laboratory : LPS - UMR 8502
Team : Groupe THEO
Team Website
/ Thesis :    Funding :