Doctoral thesis (Dissertations and theses)
Magnetic Small-Angle Neutron Scattering From Nanoparticles: Theory and Simulation of Surface Anisotropy and Magnetodipolar Interaction Effects Beyond the Superspin Model
ADAMS, Michael Philipp
2025
 

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Keywords :
Neutron Scattering; Magnetic Nanoparticles; Micromagnetic Simulations; Atomistic Spin Dynamics
Abstract :
[en] Magnetic nanoparticles possess tunable properties that make them attrac- tive for applications in medicine, materials science, and nanotechnology. A key challenge in realizing their potential lies in understanding complex spin structures at the nanoscale. Magnetic small-angle neutron scattering (SANS), especially in its polarized form, is a powerful method to probe such textures. However, interpreting SANS data remains di cult due to its reciprocal-space nature and ensemble averaging over randomly oriented particles. This thesis presents a combined strategy integrating atomistic spin dynamics simulations with analytically tractable surrogate models to investigate magnetic SANS signatures of ultra-fine nanoparticles. Atomistic simulations o er detailed insight into spin disorder from surface anisotropy, exchange, and dipole-dipole interactions, but their high dimensionality lim- its direct data fitting. Analytical models are therefore developed to extract key physical features in a reduced parameter space suitable for system- atic comparison with experiments. The approach is first applied to spher- ical nanoparticles with dominant surface anisotropy. Simulations reveal characteristic inhomogeneous magnetization profiles—ranging from tangen- tial (artichoke-like) to radial (hedgehog-like) textures—whose signatures appear in the SANS cross section as spin-disorder-induced smearing and anisotropy-dependent form-factor shifts. Perturbative analytical results re- produce these features and yield interpretable expressions for the scatter- ing intensity. The second part examines vortex-like spin structures in iron nanoparticles via micromagnetic simulations and a novel power-series ex- pansion. Even linear magnetization approximations capture the dominant SANS response, suggesting symmetry-based interpretation strategies. Fi- nally, the spin dynamics of nanoparticles is addressed, focusing on surface- anisotropy-induced nutation. Simulations and analytical models reveal a collective nutational mode of the net magnetic moment with characteristic frequencies potentially detectable via inelastic neutron scattering.
Disciplines :
Physics
Author, co-author :
ADAMS, Michael Philipp  ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Physics and Materials Science (DPHYMS)
Language :
English
Title :
Magnetic Small-Angle Neutron Scattering From Nanoparticles: Theory and Simulation of Surface Anisotropy and Magnetodipolar Interaction Effects Beyond the Superspin Model
Defense date :
16 July 2025
Number of pages :
243
Institution :
Unilu - University of Luxembourg [Faculty of Science, Technology and Medicine], Luxembourg, Luxembourg
Degree :
Docteur en Physique (DIP_DOC_0003_B)
Promotor :
MICHELS, Andreas  ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Physics and Materials Science (DPHYMS)
President :
BRIDA, Daniele ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Physics and Materials Science (DPHYMS)
Jury member :
WIRTZ, Ludger ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Physics and Materials Science (DPHYMS)
Boothroyd, Andrew;  University of Oxford > Department of Physics
Blackburn, Elizabeth;  Lund University > Department of Physics
Focus Area :
Physics and Materials Science
FnR Project :
FNR15639149 - MNSONAE2021 - Magnetic Neutron Scattering Of Nanoparticles: Analytical Theory And Experiment Beyond The Superspin Model, 2021 (01/10/2021-30/09/2025) - Michael Philipp Adams
Name of the research project :
Magnetic Neutron Scattering Of Nanoparticles: Analytical Theory And Experiment Beyond The Superspin Model
Funders :
FNR - Fonds National de la Recherche
Funding number :
15639149
Available on ORBilu :
since 26 August 2025

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