Electron spin resonance (ESR) spectroscopy is an important tool to
characterize the ground state of conduction electrons and to measure their
spin-relaxation times. Observing ESR of the itinerant electrons is thus of
great importance in graphene and in single-wall carbon nanotubes (SWCNTs).
Often, the identification of CESR signal is based on two facts: the apparent
asymmetry of the ESR signal (known as a Dysonian lineshape) and on the
temperature independence of the ESR signal intensity. We argue that these are
insufficient as benchmarks and instead the ESR signal intensity (when
calibrated against an intensity reference) yields an accurate characterization.
We detail the method to obtain the density of states from an ESR signal, which
can be compared with theoretical estimates. We demonstrate the success of the
method for K doped graphite powder. We give a benchmark for the observation of
ESR in graphene.
Beschreibung
Density of states deduced from ESR measurements on low-dimensional
nanostructures; benchmarks to identify the ESR signals of graphene and SWCNTs
%0 Generic
%1 Szirmai2011
%A Szirmai, Péter
%A Fábián, Gábor
%A Dóra, Balázs
%A Koltai, János
%A Zólyomi, Viktor
%A Kürti, Jenő
%A Nemes, Norbert M.
%A Forró, László
%A Simon, Ferenc
%D 2011
%K ESR
%T Density of states deduced from ESR measurements on low-dimensional
nanostructures; benchmarks to identify the ESR signals of graphene and SWCNTs
%U http://arxiv.org/abs/1109.2453
%X Electron spin resonance (ESR) spectroscopy is an important tool to
characterize the ground state of conduction electrons and to measure their
spin-relaxation times. Observing ESR of the itinerant electrons is thus of
great importance in graphene and in single-wall carbon nanotubes (SWCNTs).
Often, the identification of CESR signal is based on two facts: the apparent
asymmetry of the ESR signal (known as a Dysonian lineshape) and on the
temperature independence of the ESR signal intensity. We argue that these are
insufficient as benchmarks and instead the ESR signal intensity (when
calibrated against an intensity reference) yields an accurate characterization.
We detail the method to obtain the density of states from an ESR signal, which
can be compared with theoretical estimates. We demonstrate the success of the
method for K doped graphite powder. We give a benchmark for the observation of
ESR in graphene.
@misc{Szirmai2011,
abstract = { Electron spin resonance (ESR) spectroscopy is an important tool to
characterize the ground state of conduction electrons and to measure their
spin-relaxation times. Observing ESR of the itinerant electrons is thus of
great importance in graphene and in single-wall carbon nanotubes (SWCNTs).
Often, the identification of CESR signal is based on two facts: the apparent
asymmetry of the ESR signal (known as a Dysonian lineshape) and on the
temperature independence of the ESR signal intensity. We argue that these are
insufficient as benchmarks and instead the ESR signal intensity (when
calibrated against an intensity reference) yields an accurate characterization.
We detail the method to obtain the density of states from an ESR signal, which
can be compared with theoretical estimates. We demonstrate the success of the
method for K doped graphite powder. We give a benchmark for the observation of
ESR in graphene.
},
added-at = {2011-09-13T23:39:59.000+0200},
author = {Szirmai, Péter and Fábián, Gábor and Dóra, Balázs and Koltai, János and Zólyomi, Viktor and Kürti, Jenő and Nemes, Norbert M. and Forró, László and Simon, Ferenc},
biburl = {https://www.bibsonomy.org/bibtex/2fb3e644e6feb0264916680492cc4f84c/vakaryuk},
description = {Density of states deduced from ESR measurements on low-dimensional
nanostructures; benchmarks to identify the ESR signals of graphene and SWCNTs},
interhash = {2f02c8556d5e8a2a75cd91d14eede729},
intrahash = {fb3e644e6feb0264916680492cc4f84c},
keywords = {ESR},
note = {cite arxiv:1109.2453},
timestamp = {2011-09-13T23:39:59.000+0200},
title = {Density of states deduced from ESR measurements on low-dimensional
nanostructures; benchmarks to identify the ESR signals of graphene and SWCNTs},
url = {http://arxiv.org/abs/1109.2453},
year = 2011
}