Transport phenomenon : contribution of ab initio calculations and applications

In a first part, we studied the magnetic properties of organic radicals (coupled with rare earth or between each other). We calculated the magnetic exchange and the g-tensor of these compounds to understand their magnetic susceptibility and thei magnetization curves via ab initio calculations based on the wave-function. We studied how the chemistry and the crystal stacking affect meaningful parameters linked to magnetism and conduction. Those parameters were extracted with the thory of effective Hamiltonians fo various families of organic radicals. From the observed trends for the different parameters, we predicted some ways to obtain multifunctional compounds. In a second part, we used the same parameters (hoping integral, coulombic repulsion, magnetic exchange) to describe transport properties through highly correlated molecular junctions. From the ab initio parameters, we developed a phenomenological model based on master equations to describe the electronic transport. We stressed the importance of a multiconfigurational description to reproduce properly the transport properties for spin unpolarized and spin polarized situations. In both cases, the mono- or multi-configurational description affects qualitatively and quantitatively the predicted conductance curve.

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Source https://theses.hal.science/tel-00866347
Author Vérot, Martin
Maintainer CCSD
Last Updated May 9, 2026, 14:35 (UTC)
Created May 9, 2026, 14:35 (UTC)
Identifier NNT: 2013ENSL0822
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire de Chimie - UMR5182 (LC) ; École normale supérieure de Lyon (ENS de Lyon) ; Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL) ; Université de Lyon-Institut de Chimie - CNRS Chimie (INC-CNRS)-Centre National de la Recherche Scientifique (CNRS)
creator Vérot, Martin
date 2013-07-03T00:00:00
harvest_object_id a61a49df-0e92-44e9-8196-a024f3d2e69a
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-03-31T00:00:00
set_spec type:THESE