Séminaire Fluide: Sofia Kantorovich (Université de Vienne)

  • Science et Société
Publié le 12 mai 2024 Mis à jour le 12 mai 2024

le 13 mai 2024

Institut de Physique de Nice
Conference room 1+2

What can we learn about Magnetic Soft Matter from computer simulations

Fluid seminars


Following experimental advances in the early 2000s, anisotropic and anisometric magnetic nanoparticles have become a promising subfield of magnetic soft matter [1,2]. It has been shown that even small alternations in particle shape strongly affect the overall microscopic properties of such particle suspensions [3]. This particular feature makes them appealing candidates for applications with tailored requirements [4].  What is not yet clear, albeit being of primary interest, it is how the dynamics of the systems of anisotropic and anisometric particles is affected by their intrinsic features. Here, we present our recent results on how to correctly merge intrinsic magnetisation processes of nanoparticles with their spatial motion and structural transitions in molecular dynamics simulations. We put forward three different approaches based on the egg-model [5], on a so-called hot Stoner-Wohlfarth paradigm [6] and on the extended dipoles [7] to allow for particle magnetic nature. We apply those models to investigate static and dynamic susceptibilities of the systems as well as the cluster formation dynamics.

[1] S. Sacanna and D. J. Pine, Current Opinion in Colloid and Interface Science, 2011, 16, 96–105.
[2] L. Rossi, S. Sacanna, W. T. M. Irvine, P. M. Chaikin, D. J. Pine and A. P. Philipse, Soft Matter, 2011, 7, 4139–4142.

[3] J. G. Donaldson, E. S. Pyanzina and S. S. Kantorovich, ACS Nano, 2017, 11, 8153–8166.

[4] P. Tierno, Phys. Chem. Chem. Phys., 2014, 16, 23515–23528.

[5] V. I. Stepanov, M. I. Shliomis, Bulletin of the Russian Academy of Sciences: Physics, 1991, 55, 1-8.

[6] M.A. Chuev, J. Hesse, J. Phys.: Condens. Matter, 2007, 19, 506201(18p).

[7] G. Steinbach, D. Nissen, M. Albrecht, E. Novak, P. A. Sánchez, S. S. Kantorovich S et al. Soft Matter, 2016, 12, 2737-2743