Magnetic and size dependent properties of nanomaterials
Introduction
It is one of the more
often used units for very small lengths i.e. nanometer (nm). One nanometer equals to one thousandth of a micrometer or
one millionth of a millimeter or ten angstrom. It is often associated with the field of nanotechnology
and the wavelength of light. Nanotechnology can offer
potential solution to many problems using emerging nano techniques. Depending
upon the interdisciplinary character of nanotechnology, there are many research
fields and several potential applications. But irrespective of the field,
materials are getting importance. Nanomaterials means, material with one (or)
two (or) zero dimensions and with an internal structure which could exhibit
novel characteristics compared to the same material without nanoscale features.
Any physical substance with structural dimensions between 1-100 nm can be
defined as nanomaterials.
2. Luminescence
Luminescence
is the term applied to the re-emission of previously absorbed radiation. In molecular photoluminescence, photons of
electromagnetic radiation are absorbed by molecules raising them to some
existed state and then, on returning to the ground state, the molecules re-emit
the radiation back and this is known as luminescence. Some important luminescences
are photoluminescence, thermo luminescence, bioluminescence and
cathodoluminescence. In this presentation details of photoluminescence will be
discussed.
2.1 Photoluminescence from bulk
matter:
If a photon has energy
greater than that of the band gap energy of a material, then it can be absorbed
by that material (mostly semiconducting type).
The absorbed energy raise an electron from the valence band (leaving
behind the holes) up to the conduction band across the forbidden energy gap. In
this process of photoexcitation, the electron generally has excess energy and
that will be mostly lost before coming to rest at the lowest energy level in
the conduction band. From this point, the electron eventually falls back down
to the valence band and recombine with the holes. As it falls down, the energy
it loses is converted back into a luminescent photon. This energy of the
emitted photon is a direct measure of the band gap energy.
Photoluminescence includes
fluorescence and phosphorescence. In fluorescence the energy transitions do not
involve a change in electron spin, on the other hand phosphorescence involves a
change in electron spin and is therefore much slower than the fluorescence
process. Fluorescence emission involves a lifetime of 10-8 sec
(electron life time in the excited state or conduction state) and therefore happens
quickly after initial photon absorption. [Some fluorescent nanomaterials have been
successfully used as fluorescent labels for a variety of bio-analytical
purposes such as detection of DNA, proteins and other biomolecules, cellular
labeling and etc.] In phosphorescence type emission the life of time of excited electrons is
about 10-3 sec and therefore happens slowly after
initial photon absorption.
2.2 Photoluminescence Excitation and Emission:
In physics, excitation means
elevation in energy level above an arbitrary baseline energy state. The below
Fig.1 schematically represent the excitation process. An incoming photon of
energy greater than that of band gap supplies energy to the valence band
electron and therefore this valence electron is removed from the valence band [Valence band: A representation of bond
state, here electrons are bound to individual atoms and therefore they can’t
make a free movement inside the material
(it means no current is possible) ]. The as removed electrons are moving to
the conduction band [Conduction band: A
representation of a free state, here the electrons are bound to the individual
atoms of crystal network but belongs to the whole network, so that they can move
freely around the material but definitely not out of the material] and
spends its time there for a while. After spending an initial time of 10-8
or 10-3 Secs, the electrons return back to the valence band. Since
energy is conserved; this returning process gives back the photon absorbed and
is known as “emission” process.
2.3
Effect of Size reduction:

2.4
What makes discreteness?
A
simple answer for the conversion of a “band” into “discrete energy level” is a
cut in the number of atoms (upon size reduction). We all know that matter is
formed by the joining of atomic orbital’s together and this joining, also known
as over lapping of energy levels, occurs at the outer most levels known as
valence levels of atoms. The over lapping of energy levels may not be so
perfect due to the thermal vibration of atoms and therefore there will be a
minimum energy level separation between the overlapping energy levels. When the size of the matter is big then it
means more number of atomic orbital’s or energy levels are overlapping. This in
turn results a collection of closely packed energy levels also known as bands.
The bound states are known as valence band and the free states are known as
conduction band. If one can closely observe the bands there also exists
discreteness but with a very minimum energy separation. Because of the minimum
energy separation, just room temperature energy of about 23 to 25 meV (milli
electron volt) is sufficient for the electrons to get promoted from one level
to the other and therefore, within in the band, either conduction or valence
band, the electrons can make free movement from bottom to top. That is getting
energy from room temperature the electrons can move from one level to the other
within the band. Once reached top of the band the electrons loses their energy
by collision and therefore comes down to the bottom of the band. As this
process is random the net current will be zero. However for the electrons to
move from valence band to conduction band a minimum energy, equivalent to that
of forbidden gap is required. Getting this energy the electrons from valence
band can make a movement towards conduction band, leaving behind holes in
valence bands. [Within the conduction
band the electrons can move freely from bottom to top levels getting energy
from room temperature and therefore these motion with mostly will be random and
therefore the net current will be zero. However by applying a biasing voltage,
we can give directionality to the electrons and therefore a non-zero net
current will be resulted. Remember, here also there exists randomness and
therefore the electron movement towards the positive end of the potential is
slowed down. This slowing down procedure gives raise to heat and that’s why
most of the bulk devices and their products produce lot of heat.] These
excited electrons in the conduction band, in the absence of external biasing
voltage, will recombine with the holes in the valence band and thereby re-emits
the radiation.
When the size of the matter is
reduced, obviously the number of atomic levels overlapping to form a band of
states is reduced. If this size reduction process continues up to nanoscale
level then there will be fewer atoms and hence fewer overlapping of energy
levels. In such a situation, the band (of states) appears with discrete states.
Remember, now also we have valence states, conduction states (not bands) and
forbidden gap. So we need to supply the energy externally to excite the
electrons from the valence states into conduction states. One point, one has to
remember is that upon size reduction the forbidden gap width is increased and
therefore the resulting recombination (in the absence applied biasing voltage)
gives a high energy photon. Therefore by
closely studying the emission wavelength one can indirectly obtain the size of
the nanoparticle. However, the relation between the size and the emission
wavelength is unique to given material of particular composition and crystal
structure and therefore one has to take care in co-relating the emission
wavelength to the size. For example factors such electron and hole effective
masses etc has to be taken into account for the calculation size of the
nanoparticle from the wavelength.2
3.
Conclusion
In conclusion, one can measure the
emission wavelength using spectrofluorimeter and therefore can obtain the size
of the nanoparticle indirectly. Many scientists are using this luminescence
technique to find the nanoparticle size.2 In particular this
emission mechanism will be very much useful to semiconcondcting nanoparticles
only. In the case of metals, since there is no forbidden gap, the emission
process will be different.

Magnetic
and Optical Properties of Nanoparticles
1.0 Diamagnetism, paramagnetism and
ferromagnetism
There are three categories of magnetism
that we need to consider: diamagnetism, paramagnetism and ferromagnetism.
Diamagnetism is a fundamental property of all atoms (molecules), and the
magnetization is very small and opposed to the applied magnetic field
direction. Many materials exhibit paramagnetism, where a magnetization develops
parallel to the applied magnetic field as the field is increased from zero, but
again the strength of the magnetization is small. In the language of the
physicist, ferromagnetism is the property of those materials which are
intrinsically magnetically ordered and which develop spontaneous magnetization
without the need to apply a field. The ordering mechanism is the quantum
mechanical exchange interaction. It is this final category of magnetic material
that will concern us in this chapter. A variation on ferromagnetism is
ferrimagnetism, where different atoms possess different moment strengths but
there is still an ordered state below a certain critical temperature. We will
now define some key terms. The magnetic induction B has the units of tesla (T).
The magnetic field strength H can be
defined by
----------- (1)
where
m0
=
4p x 10-7 Hm-1
is the permeability of free space. This gives the horizontal component of the
earth’s magnetic field strength as approximately 16 Am-1 in London.
The flux j = BA
can be defined, where A is a cross-sectional area. Flux
has the units of weber (W).
If a ferromagnetic material is now
placed in a field H, Equation (1) becomes

where
M is the magnetization of the sample
(the magnetic dipole moment per unit volume). We define c as the
susceptibility of the magnetic material, and mr = 1 + c as the relative permeability of
the material (both m and c are dimensionless). Table 1
summarizes this classification scheme, and gives values for typical
susceptibilities in each category.
Table
1
Classification of magnetic materials by susceptibility
Diamagnet (c < 0)
|
Paramagnet (c > 0)
|
Ferromagnet (c >> 0)
|
Cu:
- 0.11 x 10-5
|
Al:
0.82 x 10-5
|
|
Au:
- 0.19 x 10-5
|
Ca:
1.40 x 10-5
|
Fe:>102
|
Pb:
- 0.18 x 10-5
|
Ta: 1.10 x 10-5
|
1.1 Hysteresis Loops
Most of the
magnetic properties of a material can be derived from its hysteresis loop.
Figure 1 schematically illustrates a magnetization vs field (M–H)
hysteresis loop. When the external magnetic field is sufficiently large, all
the spins within a magnetic material align with the applied magnetic field. In
this state, the magnetization of the material achieves its maximum value, and
this value is called the saturation magnetization, Ms. When the external
magnetic field becomes weaker, the spins in the material cease to be aligned
with the external magnetic field, so the total magnetization of the material
decreases. For a ferromagnetic material, when the external magnetic field
decreases to zero, the material still has a residual magnetic moment, and the
value of the magnetization at zero field is called the remanent magnetization, Mr. The remanence ratio is
defined as the ratio of the remanent magnetization to the saturation
magnetization, Mr/Ms,
which varies from 0 to 1. To bring the material back to zero magnetization, a
magnetic field in the negative direction should be applied, and the magnitude
of the field is called the coercive field,
Hc. The re-orientation and growth of spontaneously magnetized
domains within a magnetic material depends on both microstructural features
such as vacancies, impurities or grain boundaries, and intrinsic features such
as magnetocrystalline anisotropy as well as the shape and size of the particle.
In most cases, the hysteresis loop of a magnetic material should be
experimentally measured using, a vibrating sample magnetometer (VSM) or
superconducting quantum interference device (SQUID) magnetometer, and it is not
possible to predict a priori what the hysteresis loop will look like.
Materials with different magnetic
properties have different shapes of hysteresis loops. Figure 2 shows a
schematic diagram of a blood vessel into which some magnetic nanoparticles have
been injected, and the magnetic properties of both the injected particles and
the ambient biomolecules in the blood stream. Generally speaking, the blood
vessel and the biomaterials in the blood vessel are either diamagnetic or
paramagnetic, while the injected magnetic particles are either ferromagnetic or
superparamagnetic, depending on their sizes.
Broadly, all materials can be regarded
as magnetic materials because all the materials respond to magnetic fields to
some extent. However, they are usually classified based on their volumetric
magnetic susceptibility, χ, describing the relationship between the
magnetic field H and the magnetization M induced in a material by
the magnetic field:

In the SI unit system, χ is
dimensionless, while both M and H are expressed in Am−1. Most materials
display little magnetism, and these are classified either as paramagnets or
diamagnets. The χ value for paramagnets is usually in the range of 10−6 to 10−1, while the χ
value for diamagnets is usually in the range −10−6 to −10−3. Negative χ value of diamagnets
indicates that in such materials, the magnetization M and the magnetic
field H are in opposite directions. However, some materials exhibit
ordered magnetic states, and they are usually classified as ferromagnets,
ferrimagnets and antiferromagnets. The prefixes of these names refer to the
nature of the coupling interactions between the electrons within the material.
Such couplings may lead to large spontaneous magnetizations, and this is the
reason why ordered magnetic materials usually have much larger χ values than paramagnetic or
diamagnetic materials.
It should be noted that the
susceptibility in ordered materials also depends on applied magnetic field H.
This magnetic field gives rise to the characteristic sigmoidal shape of the M–H
curve, with M approaching a saturation value at high magnetic field. In
ferromagnetic and ferrimagnetic materials, hysteresis loops can be observed, as
shown in Figure 1. The shape of a hysteresis loop is partly determined by the
particle size. A particle in the order of micron size or more usually has a
multi-domain structure. As it is easy to make the domain walls move, the
hysteresis loop of such particles is narrow. In a smaller particle, the
single-domain structure leads to a broad hysteresis loop. When particle size
becomes even smaller, in the order of tens of nanometers or less,
superparamagnetism can be found. The magnetic moment of a superparamagnetic
particle as a whole is free to fluctuate in response to thermal energy, while
the individual atomic moments maintain their ordered state relative to each
other. As shown in Figure 2, the M–H curve of a superparamagnetic particle is
anhysteretic, but still sigmoidal.
1.2 Magnetic Anisotropy
Most materials contain some type of
anisotropy affecting their magnetization behaviors. The magnetic anisotropy of
a material can be modeled as uniaxial in character and represented by:

where
K is the effective
uniaxial anisotropy energy per unit volume, θ is the angle between the
moment and the easy axis, and V
is the particle volume.
1.3 Single-domain Particles
A domain is a group of spins whose
magnetic moments are in the same direction, and in the magnetization procedure,
they act cooperatively. In a bulk material, domains are separated by domain
walls, which have a characteristic width and energy associated with their
formation and existence. The movement of domain walls is a primary means of reversing
magnetization and a major source of energy dissipation.
Figure 3
schematically shows the relationship between the coercivity in particle systems
and particle sizes. In a large particle, energetic considerations favor the
formation of domain walls, forming a multi-domain structure. The magnetization
of such a particle is realized through the nucleation and motion of these walls.
As the particle size decreases toward a critical particle diameter, Dc,
the formation of domain walls becomes energetically unfavorable. So there is no
domain wall in such a particle, and this particle is called a single-domain
particle. For a single-domain particle, the magnetization procedure is realized
through the coherent rotation of spins. The particles with size close to Dc
usually have large coercivities. As the particle size is much smaller than Dc,
the spins in this particle are affected by thermal fluctuations, and such a
single-domain particle is usually called a superparamagnetic particle, which
will be discussed in later section.
Frenkel and Dorfman (1930) theoretically
predicted the existence of single-domain particles. The Dc values for some
typical magnetic materials of spherical shape are listed in Table 2. It should
be noted that particles with significant shape anisotropy usually have a larger
effective critical single-domain diameter than corresponding spherical
particles
Table 2. Critical
single-domain sizes, Dc, for spherical particles with no shape anisotropy.
Material
|
Dc
(nm)
|
Co
|
70
|
Fe
|
14
|
Ni
|
55
|
Fe3O4
|
128
|
g-Fe2O3
|
166
|
1.4 Time Dependence of Magnetization
The time dependence of magnetization of
a material is important for its engineering applications and for investigating
the fundamental mechanisms of magnetism. The variation of magnetization with
time of a magnetic material can be described by:

where
is the magnetization at the equilibrium
state, and
is a characteristic relaxation time given by:



For
a uniaxial anisotropy, the energy barrier,
, is equal to the product of the
anisotropy constant and the volume. In most cases,
is often taken as a constant of value 109
s−1. As the behavior of
is dominated by the exponential
argument, the accurate value of
is usually not necessary. However, the
particle size greatly affects the relaxation time. If we choose typical values
= 109
s−1, K= 106
erg/cm3, and T = 300 K, the
relaxation time of a particle with diameter of 11.4 nm is 0.1 s, while the
relaxation time of a particle with diameter of 14.6 nm is 108 s.





If all components of a system have the
same relaxation time, Equation (5) offers the simplest solution. However this
assumption is not applicable to real systems because of the distribution of
energy barriers in real systems. The energy barrier distribution may be related
to the variations of a lot of parameters, such as particle sizes, anisotropies
or compositional inhomogeneity, and the distribution of energy barriers causes
a distribution of relaxation times. If the distribution of energy barriers is
constant, the magnetization decays logarithmically:

where
the magnetic viscosity, S, is related to the energy barrier
distribution. If the distribution of energy barriers is constant, deviations from
the
behavior can be observed. To keep Equation (7)
applicable, the magnetic viscosity,
, should be accordingly modified.


1.5 Superparamagnetism
Néel
theoretically demonstrated that Hc approaches zero when particles
become very small because the thermal fluctuations of very small particles
prevent the existence of a stable magnetization. This is a typical phenomenon
of superparamagnetism. There are two experimental criteria for
superparamagnetism. First, the magnetization curve exhibits no hysteresis, and
second the magnetization curves at different temperatures must superpose in a
plot of
. Figure 4 shows the magnetization curves of iron amalgam
on
bases. Measurements were made at 77K and 200K
respectively, and the magnetization curves at 77K and 200K superpose each
other. The imperfect
superposition may be due to a broad
distribution of particle sizes, changes in the spontaneous magnetization of the
particle as a function of temperature or anisotropy effects.



The basic mechanism of
superparamagnetism is based on the relaxation time
of the net magnetization of a magnetic
particle:


where
is the energy barrier to moment reversal, and
is the thermal energy. For non-interacting
particles the pre-exponential factor
is in the order of 10−10–10−12 s and only weakly dependent on temperature. The
energy barrier has several origins, including both intrinsic and extrinsic
effects such as the magnetocrystalline and shape anisotropies, respectively.
However, in the simplest cases, it is given by
, where
is the anisotropy energy density and
is the particle volume. For small particles,
is comparable to
at room temperature, so superparamagnetism is
important for small particles.








It should be noted that, for a given
material, the observation of superparamagnetism is dependent not only on
temperature, but also on the measurement time
of the experimental technique used. As shown
in Figure 5, if
, the flipping is fast relative to the
experimental time window and the particles appear to be paramagnetic;
while if
, the flipping is slow, and such a state
is called a blocked state. In a block state, the quasi-static properties of the
material can be observed. The blocking temperature
can be obtained by assuming
. In typical experiments, the
measurement time
can range from the slow timescale of 102
s for DC magnetization, and medium timescale of 10−1–10−5 s for AC
susceptibility, through to the fast timescale of 10−7–10−9 s for 57Fe
Mössbauer spectroscopy.






1 Comments:
nice work.......but equations are not visible.... if possible please mail me this document...thank u
my id...hariharanponnarengan001@gmail.com
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