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CHAPTER-2
GROWTH AND CHARACTERIZATION
TECHNIQUES
Chapter 2: Growth and Characterization Techniques
31
CHAPTER – 2
GROWTH AND CHARACTERIZATION TECHNIQUES
Growth and characterization techniques are the backbone of research work. They play
a crucial role in research. They provide us with the opportunity to explore materials
even up to atomic level. Today technology has reached to new heights, providing us
with sophisticated instruments for precisely controlled growths of thin films. In this
work, vacuum thermal evaporation technique has been used to prepare various
nanostructured materials. Brief descriptions of the growth and characterization
techniques used in this work are presented here. This chapter is divided into two parts:
first part deals with growth technique and the second part deals with characterization
techniques.
Following techniques have been used for growth and characterization of the samples:
2.1 Growth Techniques
2.1.1 Physical Vapor Deposition – Vacuum Thermal Evaporation
Technique
2.2 Characterization Techniques
2.2.1 Structure and Morphology
2.2.1.1 X – Ray Diffraction (XRD)
2.2.1.2 Transmission Electron Microscope (TEM)
2.2.2 Optical Properties
2.2.2.1 UV – Visible - NIR Spectroscopy
2.2.2.2 FTIR Spectroscopy
2.2.2.3 Raman Spectroscopy
Chapter 2: Growth and Characterization Techniques
32
2.1 Growth Techniques
Thin films are thin material layers ranging from fractions of a nanometer to
several micrometers in thickness. Electronic semiconductor devices and optical
coatings are the main applications benefiting from thin film construction. Some
work is being done with ferromagnetic thin films as well for use as computer
memory. Ceramic thin films are also in wide use. Thin film materials are the key
elements of continued technological advances made in the fields of
optoelectronic, photonic, and magnetic devices. The processing of materials into
thin films allows easy integration into various types of devices. The properties of
material significantly differ when analyzed in the form of thin films. Most of the
functional materials are rather applied in thin film form due to their specific
electrical, magnetic, optical properties or wear resistance. Thin film technologies
make use of the fact that the properties can particularly be controlled by the
thickness parameter. Thin films are formed mostly by deposition, either physical
or chemical methods. Thin films, both crystalline and amorphous, have immense
importance in the age of high technology. Few of them are: microelectronic
devices, magnetic thin films in recording devices, magnetic sensors, gas sensor,
A. R. coating, photoconductors, IR detectors, interference filters, solar cells,
temperature controller in satellite, super conducting films, anticorrosive and
decorative coatings.
Film deposition technology plays a key role in the fabrication of planar devices
such as VLSI circuits used in computers, since microelectronic solid-state planar
devices are all based on material structures grown by thin-film deposition.
Scientist and electronic engineers have continuously demanded films of improved
quality and sophistication for solid-state devices, requiring a rapid evolution of
deposition technology. Equipment manufacturers have made successful efforts to
meet the requirements for improved and more economical deposition systems,
Chapter 2: Growth and Characterization Techniques
33
and for in situ process monitors and controls for measuring film parameters.
Another important reason for the rapid growth of deposition technology is the
improved understanding of the physics and chemistry of films, surfaces,
interfaces and microstructures made possible by the remarkable advances in
analytical instrumentation. A fundamental understanding of materials leads to
expanded applications and new designs of devices that incorporate these
materials.
The importance of deposition technology is the fabrication of semiconductor
devices, an industry that is totally dependent on the formation of thin solid films
of a variety of materials by deposition from the gas, vapor, liquid or solid phase.
The starting materials, epitaxial films of semiconductors, are usually grown from
the gas phase. Further, these methods can also be realized for the synthesis of
nano sized structures and materials using appropriate modifications. The good –
old and well known synthesis of self-assembled semiconductor quantum dot
structures is due to any of the epitaxial film growth techniques like MBE [1 – 5],
MOCVD [6 – 10] and the likes. Similarly, the ultra-thin discontinuous films
grown by a simple physical vapor deposition like vacuum evaporation [11 – 12]
could lead to size variable quantum dot structures. Thermal evaporation has
advantages of being simple, adoptable for any material, clean, economical, and
capable of growing on any type of substrate. Each method has its own advantages
and disadvantages in view of the final application of the grown structures
depending on the constraints. Different thin film deposition techniques are
classified in Table 2.1
Chapter 2: Growth and Characterization Techniques
34
Table 2.1 Broad classification of thin film deposition techniques [13]
Further, only one relevant growth methods used in the present work will be discussed
briefly:
Physical Vapor Deposition – Vacuum Thermal Evaporation Technique
Chapter 2: Growth and Characterization Techniques
35
2.1.1 Physical Vapor Deposition – Vacuum Thermal Evaporation
Technique
PVD processes proceed along the following sequence of steps:
a) The solid material to be deposited is physically converted to vapor phase;
b) The vapor phase is transported across a region of reduced pressure from the source
to the substrate;
c) The vapor condenses on the substrate to form the thin film.
The physical vapor deposition is the production of a condensable vapor by physical
means and subsequent deposition of a thin film from this vapor. The foremost
‘physical’ means of producing a vapor is simple heating of a source material as with
the hot filament source or the molybdenum or tungsten boat depending upon the
nature and melting point of the starting material. These are often called “thermal”
sources. The vapor deposition is performed under high vacuum (≈ 10-6 Torr or 10-4
Pa) in order to attain a desired level of purity of the thin film. The mean free path of
the evaporant particle with respect to collisions with the residual gas in the deposition
chamber depends on the level of vacuum attained by the vacuum pump and is
inversely proportional to the pressure in the chamber. With evaporation, the mean free
path is typically much greater than the distance to the substrate at high vacuum [14].
The advantages of vacuum deposition are its simplicity, economy and efficiency [15 –
17]. A film will condense on a substrate when there exists a supersaturated vapor near
the substrate. And for a given substrate temperature, there is a critical incident flux
above which a film will grow, but below which no deposit is obtained. The greater the
substrate temperature, the greater the critical incident flux. We prepared thin films of
all the materials for our study by vacuum evaporation process using “Hind-Hivac
vacuum coating unit (Model 12A4)”.
The substrates we have used in the present study were glass micro-slides and the films
were grown either at room temperature or at various substrate temperatures as per
requirement for various measurements. The distance between the source and
substrates was kept about 10 cm. The vacuum of the order of 10-6 Torr is achieved
Chapter 2: Growth and Characterization Techniques
36
with the cascaded effort of a diffusion pump and rotary pump. The starting materials
for thin film preparation were high purity (99.99% pure) grade chemicals. The
evaporated material condenses on the glass substrates, forming a very fine/thin coat.
The chemical and physical condition of the film depends on the vacuum and
cleanliness of the substrate. If the glass substrate is not cleaned properly the films end
up with pinholes or even peel off on heating due to poor film-substrate adhesion. Dust
particles and grease are the main culprits for this. The glass substrates were hence
washed in soap solutions prior to its cleaning in dilute chromic acid for over 8 hours.
They were washed in distilled water followed by acetone rinsing and dried with a hot
air blower before placing in vacuum chamber. A good vacuum ensures low amount of
oxygen in chamber and hence the chances of oxidation would be reduced. A
stoichiometric film same as that of the starting material can be grown if the
dissociation temperature of the molecules of the compound is larger than its melting
point. Usually the materials having low melting point give better stoichiometric films.
Figure 2.1 Hind High Vacuum Thermal Evaporation Unit used for the growth of QDs
in this work.
Chapter 2: Growth and Characterization Techniques
37
Figure 2.2 Schematic of thermal evaporation thin film coating unit.
Film Thickness Measurements
Film thickness is a very important parameter as it is one of the variables in our thin
film studies. Various quantitative calculations and analyses regarding the film
properties also require the knowledge of the thickness of the film. Thickness as well
as deposition rate of the films were measured using HIND HIVAC Digital Thickness
Monitor Model: DTM - 101 during evaporation and confirmed subsequently by
DEKTEK IIA surface profiler.
DTM - 101 allows improved manual control of the film deposition process by
providing a direct display of film thickness and deposition rate during deposition. In it
the quartz crystal oscillator monitor senses the amount of material accumulated on it.
To relate the film thickness on the sensor to that on the substrate, one makes use of a
Chapter 2: Growth and Characterization Techniques
38
tooling factor, which is their ratio. The monitor uses a quartz crystal as the basic
transducing element. The quartz crystal is incorporated into an oscillator circuit,
which produces oscillations by piezoelectric effect. The crystal has a resonant
frequency of 6 MHz and static thickness resolution of 1Å [14].
Dektek IIA Surface Profiler is essentially a mechanical probe in which stylus moves
over the film surface. The vertical displacement of this probe influences the output
from a piezoelectric transducer attached to the probe showing the roughness of the
film surface. Thus, the uniformity of the film can also be confirmed by scanning the
probe at different areas of the film. The film thickness can be determined quite
accurately by scanning across the film edge on the substrate.
2.2 Characterization Techniques
2.2.1 Structure and Morphology
2.2.1.1 X – Ray Diffraction (XRD)
X-ray diffraction (XRD) is one of the primary techniques used by mineralogists and
solid state chemists for the characterization of crystalline solids and determination of
their structure. About 95% of all solid materials can be described as crystalline and
when X-rays interact with a crystalline phase, a diffraction pattern is generated as a
result of the interaction between the incident X-rays and the atomic architecture of the
solid. Each crystalline solid has unique atomic architecture and consequently has a
unique characteristic X-ray powder pattern. These patterns can be used as
‘fingerprints’ for identification of solid phases. Once the material has been identified,
X-ray crystallography may be used to determine its structure, i.e. how the atoms pack
together in the crystalline state and the size and the shape of the unit cell, etc.
X – Ray diffraction is a tool for the investigation of the fine structure of matter. At
first, X – Ray diffraction was used only for the determination of crystal structure.
However, now a days the method is applied not only to structure determination, but to
such diverse problems as chemical analysis and stress measurement, to the study of
phase equilibria and the measurement of particle size, to the determination of the
Chapter 2: Growth and Characterization Techniques
39
orientation of one crystal or the ensemble of orientations in a polycrystalline
aggregate [18]. The XRD technique gives a whole range of information about the
crystallographic aspects of a thin film. It gives the information about the lattice
constants, crystal structure (i.e. epitaxial, polycrystalline, amorphous etc.), orientation,
crystalline size, composition (with the help of standards), ordering in amorphous
films, defects, and stresses in thin films.
Diffraction is essentially a scattering phenomenon in which a large number of atoms
cooperate. Since the atoms are arranged periodically in a lattice, the rays scattered by
them have definite phase relations between them; these phase relations are such that
destructive interference occurs in most directions of scattering, but in a few directions
constructive interference takes place and diffracted beams are formed.
When a monochromatic X – Ray beam is incident on an atom in a material, it scatters
the beam in all directions. Since crystalline materials have atoms arranged in a regular
periodic fashion in three dimensions, the scattered X – Rays can undergo constructive
interference in certain specific directions and thus produce strong X – Ray beams in
those directions which are referred to as diffracted beams.
If incident X – Rays 1 and 2 of wavelength λ (0.7 to 2 Ǻ) strike the atoms A and B in
the two atomic planes with interplanar spacing ‘d’ with an incident angle θ, the
constructive interference between the resulting two scattered rays 1′ and 2′ ( figure
2.3) takes place only
When the angle of incidence is equal to the angle of scattering or diffraction.
When the path difference 2d sin θ between the two scattered rays is an integral
multiple of λ i.e., 2d sin θ = nλ (Bragg’s law).
The intensity of the diffracted X-rays is then measured as a function of the diffraction
angle 2θ and the specimen’s orientation. This diffraction pattern is used to identify the
specimen’s crystalline phases and to measure its structural properties [18]. This
technique does not require elaborate sample preparation and is widely being used for
materials characterization. The crystallite size, s, can be estimated using Scherer’s
Chapter 2: Growth and Characterization Techniques
40
formula:
(2.1)
where λ is the X – Ray wavelength, B is the full width at half maximum of a
diffraction peak, θ is the diffraction angle, and K is the Scherer’s constant ≈ 0.9 for
usual crystal.
Figure 2.3 X-Ray diffraction from crystal planes.
X – Ray diffraction is a very important nondestructive experimental technique that
has been used for:
Determination of crystal structure and lattice parameters
Qualitative and quantitative analysis of unknown substances
Phase diagram determination
Order-disorder transformation analysis
Residual stress measurement
Determination of the nature of polycrystalline aggregates like particle size,
perfection and texture.
Chapter 2: Growth and Characterization Techniques
41
Figure 2.4 X – Ray Diffraction system used in this study.
2.2.1.2 Transmission Electron Microscopy (TEM) [19]
TEM is one of most powerful techniques in materials science, which has been widely
used in the characterization of nanocomposites. It has ability to examine the
Chapter 2: Growth and Characterization Techniques
42
constitutional characteristics of these nanocomposites such as grain shape and size,
crystallinity and chemical variations at a resolution down to the nanometer scale.
With advanced design, modern TEM enables lattice defects, atoms and even their
movements to be seen. The first practical TEM was built by Albert Prebus and James
Hillier at the University of Toronto in 1938 using concepts developed earlier by Max
Knoll and Ernest Ruska. TEMs are capable of imaging at a significantly higher
resolution than light microscopes, owing to much smaller wavelength of electrons (de
Broglie wavelength) than that of light [20]. This enables the instrument's user to see
objects of the order of a few angstrom (10-10 m) which is tens of thousands times
smaller than the smallest resolvable object in a light microscope. The possibility for
high magnifications has made the TEM a valuable analysis method in both biological
and materials research. The greatest advantages that TEM offers are the high
magnification ranging from 50 to 106 and its ability to provide both image and
diffraction information from a single sample. In terms of its construction, a general
TEM usually consists of six basic components, as follows:
1) Source providing illumination: An electron source, commonly used in all TEM,
comprises a filament, which emits electrons either by thermal heating (a so-called
thermionic filament) or through application of high electric field to a metal filament
tip generating field emission electrons (so-called field-emission filament). The field-
emission filament is a lot more expensive and requires much higher vacuum than the
thermionic filament, but offers a very stable source with a greater resolution and
longer life-time.
2) Electrodes: These include a cathode, which accelerates the electrons generated
from the filament to a high energy, ranging from a few hundreds to over million volts.
Although a higher voltage can produce a higher resolution, in fact, most TEM
instruments are operated at energies between 100 kV and 400 kV. This is to reduce
sample damage and the cost of the instrument while still achieving an electron
wavelength as short as possible.
Chapter 2: Growth and Characterization Techniques
43
3) An optical system: This consists of a series of electromagnetic lenses, such as
condenser lens, objective lens, projective lens as well as intermediate lens. These
lenses help to focus the electrons to produce a small probe beam and form images of
samples. The objective lens is the heart of the microscope. The spherical and
chromatic aberrations inherent in the objective lens are the major limitations to the
resolution of the TEM instrument.
4) A sample chamber: This is where the sample is positioned, and is directly above
the objective lens. It is important that the chamber is spacious enough to allow the
samples to be viewed with a wide range of tilting necessary for the crystal orientation
examination as well as for chemical analysis.
5) Camera(s): Images of the samples can be acquired using a video/scanned camera
which is located beneath a phosphor screen where the images are seen. The
photographs are taken by lifting up the screen and exposing the film in the camera.
However, this recording method has been gradually replaced by using a charge-
coupled device (CCD) camera, which collects a digital image which can be saved
onto a computer.
6) Vacuum system: The TEM runs at a very high vacuum, which is maintained by a
vacuum system. In most cases, such a system comprises a combination of two types
of pumps, i.e. mechanical and diffusion pumps.
The analysis capacity of TEM has been significantly enhanced by integration of
several advanced techniques into the instrument. These techniques include
spectrometers, such as energy-dispersive X-ray analysis (EDX) and electron energy
loss spectroscopy (EELS). Nowadays, there is increasing demand to produce an
image at an atomic scale so that the lattice arrangements within crystalline materials
can be visualized. One well-known technique for this is high resolution TEM
(HRTEM). A very high magnification is necessary in order to obtain a high-resolution
atomic image. However, such an atomic image is not turned out by simply zooming
into an image to a sufficient magnification through an imaging system (comprising of
Chapter 2: Growth and Characterization Techniques
44
both intermediate and projection lenses) in TEM. As a result, quite a few things must
be taken into account in order to acquire a good quality HRTEM image. First, TEM
column alignment needs to be carried out as accurately as possible, which includes
electron gun and condenser lens alignment, plus astigmatism correction of condenser
lenses and objective lens. Secondly, in a HRTEM, an atomic image of a crystal
structure is only possible if certain conditions are satisfied, one of which - choosing
the optimum defocus - is crucial.
Transmission electron microscopy (TEM) is an imaging technique whereby a beam of
electrons is focused onto a specimen causing an enlarged version to appear on a
fluorescent screen or layer of photographic film, or to be detected by a CCD camera.
TEM can achieve a magnification upto million times. Hence it is the most suitable
method to study the microstructure of thin films. With such a good resolution one can
focus on an individual grain and take the Laue diffraction pattern based on electron’s
dual nature.
Selected Area Electron Diffraction (SAED)
Selected area electron diffraction (SAED) is a crystallographic experimental
technique that can be performed inside a TEM to identify crystal structures and
examine crystal defects [21]. It is similar to X-ray diffraction, but unique in those
areas as small as several hundred nm in size can be examined, whereas X-ray
diffraction typically samples areas several cm in size. SAED is used primarily in
material science and solid state physics, and is one of the most commonly used
experimental techniques in those fields.
In a TEM, a thin crystalline specimen is subjected to a parallel beam of high energy
electrons. As TEM specimens are typically ~100 nm thick, and the electrons typically
have energy of 100-400 kV, the electrons pass through the sample easily. Some
fraction of them will be scattered to particular angles, determined by the crystal
Chapter 2: Growth and Characterization Techniques
45
structure of the sample, while others continue to pass through the sample without
deflection. By inserting a selected area aperture strip, located below the sample holder
on the TEM column, all of the electron beam will be blocked except for the small
fraction passing through to contribute to a diffraction pattern on the screen. The
resulting diffraction pattern is then recorded on photographic film or using a CCD
camera.
In relation to diffraction patterns, there are three types of solid matter: single crystals,
polycrystals and amorphous materials.
(i) Single crystals consist of atoms arranged in an ordered lattice. An electron beam
passing through a single crystal will produce a pattern of spots. From the diffraction
spots one can determine the type of crystal structure (f.c.c., b.c.c.) and the ‘lattice
parameter’ (i.e., the distance between adjacent (100) planes). Also, the orientation of
the single crystal can be determined: if the single crystal is turned or flipped, the spot
diffraction pattern will rotate around the center beam spot in a predictable way.
(ii) Polycrystalline materials are made up of many tiny single crystals. Any small
single crystal in a polycrystal will have a random distribution of all the possible
orientations. A polycrystal, therefore, will produce a diffraction pattern equivalent to
that produced by a beam passing through series of single crystals of various
orientations. A series of concentric rings are formed, resulting from many spots very
close together at various rotations around the center beam spot. Each circle
corresponds to a different set of Miller indices. From the diffraction rings one can also
determine the type of crystal structure and the ‘lattice parameter’. However, the
determination of the orientation of a polycrystal is not possible since there is no
change for the ring pattern when flipping or turning the polycrystal.
(iii) Amorphous materials do not consist of atoms arranged in ordered lattices, but in
random sites. Therefore, amorphous materials are completely disordered. The electron
diffraction pattern will consist of fuzzy rings of light on the fluorescent screen.
Chapter 2: Growth and Characterization Techniques
46
Figure 2.5 Schematic diagram of a typical TEM.
Sample preparation
Sample preparation in TEM can be a complex procedure. TEM specimens are
required to be at most hundreds of nanometers thick. Materials that have dimensions
small enough to be electron transparent, such as powders or nanotubes, can be quickly
prepared by the deposition of a dilute sample containing the specimen onto support
grids or films. In our case, we have directly deposited QDs on grid. Grid was kept
inside deposition chamber during the growth. Standard TEM grid size is a 3.05 mm
diameter ring, with a thickness and mesh size ranging from a few to 100 µm (figure
2.6) The sample is placed onto the inner meshed area having diameter of
Chapter 2: Growth and Characterization Techniques
47
approximately 2.5 mm. Usually grid materials are copper, molybdenum, gold or
platinum. This grid is placed into the sample holder which is paired with the specimen
stage.
Figure 2.6 Copper grid (carbon coated) used in the sample preparation process of
TEM.
A standard TEM is first evacuated to low pressures, typically on the order of 10−4 Pa.
An electron source consisting of a cathode (generally tungsten filament) and an anode
at the top of the microscope emits the electrons which are accelerated to 100 keV or
higher (up to 1MeV). These electrons are projected onto a thin specimen by means of
the condenser lens system and penetrate the sample thickness. Depending on the
density of the material present, some of the electrons are scattered and disappear from
the beam. At the bottom of the microscope the unscattered electrons hit a fluorescent
screen, which gives rise to a "shadow image" of the specimen with its different parts
displayed in varied darkness according to their density. The image can be studied
directly by the operator or photographed with a camera. The scattering processes
experienced by electrons during their passage through the specimen determine the
kind of information obtained. Elastic scattering involves no energy loss and gives rise
to diffraction patterns. Inelastic interactions between primary electrons and sample
electrons at heterogeneities such as grain boundaries, dislocations, second phase
particles, defects, density variations, etc., cause complex absorption and scattering
effects, leading to a spatial variation in the intensity of the transmitted electrons. In
Chapter 2: Growth and Characterization Techniques
48
TEM one can switch between imaging the sample and viewing its diffraction pattern
by changing the strength of the intermediate lens as shown in the ray diagram in
figure 2.7. A pattern of dots in the diffraction pattern suggests the single crystal nature
while presence of rings in general implies polycrystalline nature of the sample.
Figure 2.7 Ray diagrams for obtaining image and diffraction pattern of sample using
TEM.
Chapter 2: Growth and Characterization Techniques
49
Figure 2.8 Transmission Electron Microscope used in this study.
2.2.2. Optical Properties
Optical techniques are very useful for the characterization of solids because they
require little sample preparation. The sample is generally unaltered, and the
measurement itself cause no damage (unless a probing laser beam is too intense,
which is usually avoidable). Because an optical beam is easily manipulated, these
Chapter 2: Growth and Characterization Techniques
50
methods can examine different parts of a structure, at spatial resolutions determined
by the wavelength of the light. Visible to near-infrared light can probe the finest
details of a semiconductor nanostructure or device. This means that optical
measurements can create two-dimensional maps of properties in the plane of the
sample, such as impurity distribution or layer thickness. It is also possible to
differentiate properties along the third dimension, as the light propagates into the
sample with a component perpendicular to its surface. The penetration depth of the
light depends on its wavelength and on the sample properties, so that the region
examined can range from nanometers to micrometers deep. Widely used techniques
for optical characterization are Infrared, Raman, and Photoluminescence spectroscopy
because they are spectroscopic in nature, means that intensity is measured versus
wavelength, which provides the capacity for quantitative analysis.
There are various ways in which light interacts with matter, e.g. absorption, reflection,
scattering, emission etc. The study of optical properties of solids proved to be a
powerful tool in our understanding of the electronic and atomic structure of these
materials [22]. The optical properties of semiconductors and insulators such as
absorption, reflection and dispersion result from the electronic excitations in crystals.
The main emphasis is on the evaluation of the optical constants in a wide spectral
range in order to correlate them to the electronic band structure. The usual way to
determine the optical properties of a solid is to shine monochromatic light onto the
sample and then to measure the reflection, transmittance or absorbance as a function
of photon energy [23]. These are known as spectroscopic methods.
2.2.2.1 UltraViolet-Visible (UV-VIS) Spectroscopy
Spectrophotometers are optical instruments that measure the intensity of light
transmitted or reflected by objects as a function of wavelength. Light from the lamp
enters the monochromator, which disperses the light and selects the particular
wavelength chosen by the operator for the measurement. The light beam of selected
wavelength is passed alternately through the sample and along the reference path. The
Chapter 2: Growth and Characterization Techniques
51
‘reference’ and `sample' light beams pass through the cell compartment, consisting of
a `reference space' and a sample space. The two light beams converge on the detector.
Quantitative measurements in chemical analysis are done by comparison of the
absorption with the absorbance of known concentration of the element.
Extensively used for determination of trace impurities in semiconductors, alloying
elements in steel, non-ferrous alloys, trace impurities in ceramic materials, trace
impurities in liquids like high purity water, solvents, acids, dyestuffs in food etc.
Transmittance or absorbance of solid or liquid and total diffuse
reflectance/transmittance of solids like large disks, silicon wafers, plastics, glass etc.
can be measured. Band gap determination, electron transition and enzyme activity
studies can also be made.
This is the spectroscopic method to measure absorption spectra which are primarily
due to light absorption resulting from the excitation of electrons in atoms or
molecules [24]. The basis of quantitative absorption measurement is provided by the
Bouguer-Lambert-Beer law according to which the transmitted light intensity through
a non-reflecting medium is given as [25]
toeII (2.2)
where Io is the incident intensity, t and α are the thickness and absorption coefficient
of the medium respectively. Absorption coefficient is a measure of the energy
attenuation or loss as it travels through the medium. However, if the medium is also
partly reflecting then [26 – 27]
t
t
o eR
eRII
2
2
1
)1( (2.3)
The velocity of light in a medium of refractive index 'n' can be determined by
n
cv (2.4)
Chapter 2: Growth and Characterization Techniques
52
where c is the velocity of light in vacuum. However, if the medium is an absorbing
one, the velocity of light in the medium becomes complex and the corresponding
complex refractive index n* is defined as
n* = n + ik (2.5)
where k is the absorption index. The absorption coefficient α is related to the
absorption index by
c
k 2 (2.6)
The major sources of absorption in solids are its electrons. The optical absorption of
the films was recorded using Hitachi U-3900H Spectrophotometer, which like most of
the spectrometers, measures Io and I simultaneously. The computer interface then
calculates the absorbance, A (given by )(log10 II o ), and plots it as a function of
wavelength. For all figures in this thesis A is in arbitrary units. Spectrophotometers
provide an option to plot the measurements as transmission spectra (percentage
transmission, T, as a function of wavelength) as well. Since films were grown on glass
substrates, the substrate absorption was corrected by the instrument’s computer
interface, taking measurements with reference to another similar glass slide. The
absorbance is related to absorption coefficient for a non reflecting medium (from Eq.
2.2) as
t
A
I
I
t
303.2log
303.2 010 (2.7)
For a reflecting film in the region of strong absorption (small R and large ) near the
fundamental absorption edge, can be calculated by
t
R
t
A )1(log606.4303.2 10 (2.8)
Chapter 2: Growth and Characterization Techniques
53
neglecting )2exp(2 tR term in equation (2.3). Normally, R is very small near the
absorption edge and therefore the second term in Eq (2.8) is neglected in
determination of optical energy gap. All the important optical constants like refractive
index, transmission coefficient and optical energy gap can be computed using the
values of α or the absorbance.
Optical Band Gap
The major sources of absorption in solids are (1) band-to-band transition (2) excitons
(3) imperfactions and (4) free carriers. However band to band transition is the main
contributor to absorption processes in solid [28]. Basically, there are two types of
optical transitions that can occur at the fundamental absorption edge of crystalline
semiconductors, direct and indirect, depending upon the position of conduction band
minima (CBM) with respect to the valence band maxima (VBM) in k-space. Both
involve the interaction of an electromagnetic wave with an electron in the valence
band, which is raised across the fundamental gap to the conduction band. The direct
transition is possible when CBM and VBM are at the same k and involves only
photons, where the conservation of energy is given as
hEEE photongap (2.9)
It is possible, however, for the two extrema (CBM and VBM) to occur at different
points in k-space. An electron making a transition from such a VBM to CBM in such
a situation is said to be making an indirect transition. The energy and momentum
conservation in such a transition can be explained by the emission or absorption of a
phonon (i.e. process involves a simultaneous interaction with lattice vibration [29 -
31] ). The conservation of energy is given by
phononphoton hhE (2.10)
where phononh is the energy of a phonon that is absorbed (plus sign) or emitted
(minus sign) simultaneously with the absorption of the photon. The conservation of
momentum is satisfied by
Chapter 2: Growth and Characterization Techniques
54
phononphononphoton kkkk (2.11)
where phononk is the wave vector of the phonon that is absorbed or emitted. Since the
light incident on solid loses energy via exciting electrons to such transitions, the
energy band gap (for crystalline samples) or the optical absorption edge (for
amorphous samples) can be calculated using the absorption coefficient.
If an electron moves from the ith energy level to the jth level by absorbing a photon,
the absorption coefficient is defined in quantum mechanics as proportional to the
transition rate per unit volume of the solid Wji, i.e.
nc
W jiiji
(2.12)
where n is the refractive index of the solid.
The transition rate is defined as the rate of change of the probability for the transition
to take place, where this probability is computed from first order time-dependant
perturbation theory. The probability is related to the perturbation Hamiltonian as [32]
)(2 jiij EHa (2.13)
where the use of Dirac Delta function specifies the conservation of energy
requirement. Since we are dealing with electrons in solids the wave function is
defined by Bloch function. The expression for the perturbation Hamiltonian will
depend on whether phonons are created/absorbed or not, i.e. whether the transition is
indirect or direct. In a crystalline or polycrystalline material the nature of optical
transitions (direct or indirect) near the absorption edge can be determined by the
relation between and the optical energy gap Eg. Assuming the bands to be parabolic
in nature the absorption coefficient in direct transition is related to the band gap by
ngEhconstth )( (2.14)
Chapter 2: Growth and Characterization Techniques
55
and for indirect transition by
)exp(1
)(
1)exp(
)(
T
EEhB
T
EEhAh
D
npg
D
npg
(2.15)
where Ep is the phonon energy and D is the Debye temperature. For small phonon
energies only second term contributes. Values that n can take are [29, 33 – 34]:
n = 1/2, for direct allowed transition.
n = 3/2, for direct forbidden (in quantum mechanical sense) transition.
n = 2, for indirect allowed transition.
n = 3, for indirect forbidden transition.
The usual method of calculating band gap is to plot graph between nh 1)( and
h and look for the value of n which gives best linear graph. The value of n will
decide the nature of the energy gap or transition involved as mentioned above. In case
of direct band gap materials the graph shows a single linear portion (equation 2.14)
which is extrapolated to determine Eg (the x-intercept). Indirect band gap materials
show two linear portions of different slopes in nh 1)( versus h plot (equation
2.15) giving two intercepts, viz (Eg - Ep) and (Eg+ Ep) from which Eg can be
determined.
Amorphous Materials
The above equations were derived with the assumption of bands to be parabolic.
However, this assumption is restricted only to crystalline samples. In amorphous
materials the momentum vector k – conservation selection rule is relaxed because of
the lack of the long range order and hence sharp energy bands. Hence, the only type
of transition taking place in amorphous materials is non – direct transition [35]. In a
non – direct transition no phonon absorption or emission process is involved to
conserve momentum and all energy required is provided by the incident photons as
Chapter 2: Growth and Characterization Techniques
56
opposed to indirect transition in crystalline materials. The absorption in many
amorphous materials is observed to obey the relation
αhν = constt(hν – Eg)2
(2.16)
above the exponential tails, where Eg is the absorption edge or optical gap.
Figure 2.9 UV – Visible setup used in this study.
Chapter 2: Growth and Characterization Techniques
57
2.2.2.2 Fourier Transform Infrared (FTIR) Spectroscopy
Fourier Transform Infrared spectroscopy (FTIR) is a technique based on the
vibrations of the atoms within a molecule. An infrared (IR) spectrum is obtained by
passing IR radiation through a sample and determining what fraction of the incident
radiation is absorbed at a particular energy. The energy at which any peak in an
absorption spectrum appears corresponds to the frequency of a vibration of a part of a
sample molecule. Moreover, chemical bonds in different environments will absorb
varying intensities and at varying frequencies. Thus IR spectroscopy involves
collecting absorption information and analyzing it in the form of a spectrum - the
frequencies at which there are absorptions of IR radiation (‘peaks’ or ‘signals’) can be
correlated directly to bonds within the compound in question. Because each
interatomic bond may vibrate in several different motions (stretching or bending),
individual bonds may absorb at more than one IR frequency. Stretching absorptions
usually produce stronger peaks than bending, however the weaker bending
absorptions can be useful in differentiating similar types of bonds (e.g. aromatic
substitution).
Infrared (IR) spectroscopy is a chemical analytical technique, which measures the
infrared intensity versus wavelength (wavenumber) of light. Based upon the
wavenumber, infrared light can be categorized as far infrared (4 ~ 400cm-1), mid
infrared (400 ~ 4,000cm-1) and near infrared (4,000 ~ 14,000cm-1) [36, 37].
Infrared spectroscopy detects the vibration characteristics of chemical functional
groups in a sample [36, 37]. When an infrared light interacts with the matter, chemical
bonds will stretch, contract and bend. As a result, a chemical functional group tends to
adsorb infrared radiation in a specific wavenumber range regardless of the structure of
the rest of the molecule e.g., the C=O stretch of a carbonyl group appears at around
1700 cm-1 in a variety of molecules. Hence, the correlation of wavenumber position of
a band in the IR spectrum with the chemical structure is used to identify a functional
group in a sample. The wavenumber positions where functional groups adsorb are
consistent, despite the effect of temperature, pressure, sampling, or change in the
Chapter 2: Growth and Characterization Techniques
58
molecule structure in other parts of the molecules. Thus the presence of specific
functional groups can be monitored by these types of infrared bands, which are called
group wavenumbers.
Figure 2.10 shows the schematic diagram of a typical FTIR spectrometer. An FTIR
spectrometer obtains infrared spectra by first collecting an interferogram of a sample
signal with an interferometer, which measures all of infrared frequencies
simultaneously. An FTIR spectrometer acquires and digitizes the interferogram,
performs the FT function, and outputs the spectrum.
Figure 2.10 Schematic diagram of a typical FTIR spectrometer
Fig. 2.11 depicts the ray diagram for generation of interferogram by an FTIR
interferometer. An interferometer utilizes a beam splitter to split the incoming infrared
beam into two optical beams. One beam reflects off of a flat mirror which is fixed in
place. Another beam reflects off of a flat mirror which travels a very short distance
(typically a few millimeters) away from the beam splitter. The two beams reflect off
of their respective mirrors and are recombined when they meet together at the beam
splitter. The re-combined signal results from the “interfering” with each other.
Chapter 2: Growth and Characterization Techniques
59
Consequently, the resulting signal is called interferogram, which has every infrared
frequency “encoded” into it. When the interferogram signal is transmitted through or
reflected off of the sample surface, the specific frequencies of energy are absorbed by
the sample due to the excited vibration of function groups in molecules. The infrared
signal after interaction with the sample is uniquely characteristic of the sample. The
beam finally arrives at the detector and is detected by the detector. The detected
interferogram cannot be directly interpreted. It has to be “decoded” with a well-
known mathematical technique in term of Fourier Transformation. The computer can
perform the Fourier transformation calculation and present an infrared spectrum,
which plots absorbance (or transmittance) versus wavenumber.
Figure 2.11 Ray diagram depicting process of generating interferogram using
interferometer
Chapter 2: Growth and Characterization Techniques
60
When an interferogram is Fourier transformed, a single beam spectrum is generated.
A single beam spectrum is a plot of raw detector response versus wavenumber. A
single beam spectrum obtained without a sample is called a background spectrum,
which is induced by the instrument and the environments. Characteristic bands around
3500 cm-1 and 1630 cm-1 are ascribed to atmospheric water vapor, and the bands at
2350 cm-1 and 667 cm-1 are attributed to carbon dioxide. A background spectrum must
always be run when analyzing samples by FTIR. When an interferogram is measured
with a sample and Fourier transformed, a sample single beam spectrum is obtained. It
looks similar to the background spectrum except that the sample peaks are
superimposed upon the instrumental and atmospheric contributions to the spectrum.
To eliminate these contributions, the sample single beam spectrum must be
normalized against the background spectrum. Consequently, a transmittance spectrum
is obtained as follows.
%T = I/Io
where %T is transmittance; I is the intensity measured with a sample in the beam
(from the sample single beam spectrum); Io is the intensity measured from the back
ground spectrum
The absorbance spectrum can be calculated from the transmittance spectrum using the
following equation.
A = -log10 T
where A is the absorbance.
In the present work FTIR studies have been carried out in transmittance mode on the
pellets containing dry KBr powder mixed with small amount of powder samples. The
IR spectra consist of the transmittance bands due to functional groups present in the
powder samples only because KBr is transparent to infrared radiations.
Chapter 2: Growth and Characterization Techniques
61
Figure 2.12 FTIR instrument used in this study
2.2.2.3 Raman Spectroscopy
Raman spectroscopy is a spectroscopic technique based on inelastic scattering of
monochromatic light, usually from a laser source. Inelastic scattering means that the
frequency of photons in monochromatic light changes upon interaction with a sample
Chapter 2: Growth and Characterization Techniques
62
[38]. Photons of the laser light are absorbed by the sample and then reemitted.
Frequency of the reemitted photons is shifted up or down in comparison with original
monochromatic frequency, which is called the Raman Effect. This shift provides
information about vibrational, rotational and other low frequency transitions in
molecules. Raman spectroscopy can be used to study solid, liquid and gaseous
samples. The Raman effect is based on molecular deformations in electric field E
determined by molecular polarizability α. The laser beam can be considered as an
oscillating electromagnetic wave with electrical vector E. After interaction with the
sample it induces electric dipole moment P = αE which deforms molecules. Because
of periodical deformation, molecules start vibrating with characteristic frequency υm.
Amplitude of vibration is called a nuclear displacement. In other words,
monochromatic laser light with frequency υ0 excites molecules and transforms them
into oscillating dipoles. Such oscillating dipoles emit light of three different
frequencies (figure 2.13) when:
(a) A molecule with no Raman-active modes absorbs a photon with the frequency υ0.
The excited molecule returns back to the same basic vibrational state and emits
light with the same frequency υ0 as an excitation source. This type of interaction is
called an elastic Rayleigh scattering.
(b) A photon with frequency υ0 is absorbed by Raman-active molecule which at the
time of interaction is in the basic vibrational state. Part of the photon’s energy is
transferred to the Raman-active mode with frequency υm and the resulting
frequency of scattered light is reduced to υ0 - υm. This Raman frequency is called
Stokes frequency, or just “Stokes”.
(c) A photon with frequency υ0 is absorbed by a Raman-active molecule, which, at
the time of interaction, is already in the excited vibrational state. Excessive energy
of excited Raman active mode is released, molecule returns to the basic
vibrational state and the resulting frequency of scattered light goes up to υ0 + υm.
This Raman frequency is called Anti- Stokes frequency, or just “Anti-Stokes”.
Chapter 2: Growth and Characterization Techniques
63
Figure 2.13 Schematic diagram to show the transition states.
About 99.999% of all incident photons in spontaneous Raman scattering undergo
elastic Rayleigh scattering. This type of signal is useless for practical purposes of
molecular characterization. Only about 0.001% of the incident light produces inelastic
Raman signal with frequencies υ0 ± υm. Spontaneous Raman scattering is very weak
and special measures should be taken to distinguish it from the predominant Rayleigh
scattering. Instruments such as notch filters, tunable filters, laser stop apertures,
double and triple spectrometric systems are used to reduce Rayleigh scattering and
obtain high-quality Raman spectra. A Raman system typically consists of four major
components:
i. Excitation source (Laser).
ii. Sample illumination system and light collection optics.
iii. Wavelength selector (Filter or Spectrophotometer).
iv. Detector (Photodiode array, CCD or PMT).
Chapter 2: Growth and Characterization Techniques
64
A sample is normally illuminated with a laser beam in the ultraviolet (UV), visible
(Vis) or near infrared (NIR) range. Scattered light is collected with a lens and is sent
through interference filter or spectrophotometer to obtain Raman spectrum of a
sample. Since spontaneous Raman scattering is very weak the main difficulty of
Raman spectroscopy is separating it from the intense Rayleigh scattering. More
precisely, the major problem here is not the Rayleigh scattering itself, but the fact that
the intensity of stray light from the Rayleigh scattering may greatly exceed the
intensity of the useful Raman signal in the close proximity to the laser wavelength. In
many cases the problem is resolved by simply cutting off the spectral range close to
the laser line where the stray light has the most prominent effect. Very strong laser
pulse with electric field strength > 109 V·cm-1 transforms up to 50% of all laser pulse
energy into coherent beam at Stokes frequency υ0 - υm (figure 2.13). The Stokes beam
is unidirectional with the incident laser beam. Only the mode which is the strongest in
the regular Raman spectrum is greatly amplified. All other, weaker Raman active
modes are not present. The Stokes frequency is so strong that it acts as a secondary
excitation source and generates the second Stokes line with frequency υ0 - 2υm. The
second Stokes line generates the third one with the frequency υ0 - 3υm and so on.
Stimulated Raman technique enjoys 4 – 5 orders of magnitude enhancement of
Raman signal as compared to the spontaneous Raman scattering. Notch filters which
cut-off spectral range of ± 80 - 120 cm-1 from the laser line. This method is efficient
in stray light elimination but it does not allow detection of low-frequency Raman
modes in the range below 100 cm-1. Stray light is generated in the spectrometer
mainly upon light dispersion on gratings and strongly depends on grating quality.
Raman spectrometers typically use holographic gratings which normally have much
less manufacturing defects in their structure than the ruled ones. Stray light produced
by holographic gratings is about an order of magnitude less intense then from ruled
gratings of the same groove density. Using multiple dispersion stages is another way
of stray light reduction. Double and triple spectrometers allow taking Raman spectra
without use of notch filters. In such systems Raman-active modes with frequencies as
low as 3 – 5 cm-1 can be efficiently detected.
Chapter 2: Growth and Characterization Techniques
65
In earlier times, people primarily used single-point detectors such as photon-counting
Photomultiplier Tubes (PMT). However, a single Raman spectrum obtained with a
PMT detector in wavenumber scanning mode was taking substantial period of time,
slowing down any research or industrial activity based on Raman analytical
technique. Nowadays, more and more often researchers use multi-channel detectors
like Photodiode Arrays (PDA) or, more commonly, a Charge-Coupled Devices (CCD)
to detect the Raman scattered light. Sensitivity and performance of modern CCD
detectors are rapidly improving. In many cases CCD is becoming the detector of
choice for Raman spectroscopy.
Figure 2.14 Raman Microscope used in the present study.
Raman measurements on solids are carried out mainly for exploring the vibrational
structure or Vibrational Density Of States (VDOS) of the material. Since VDOS
depends on the molecular structure of the basis molecule, it becomes useful for the
analysis of short range order in disordered, glassy and amorphous materials. In a
perfect crystal the first order Raman scattering occurs with either absorption or
emission of an optical phonon of k~0. However, increasing disorder could relax this
selection rule for making first order scattering by phonons of larger k possible. The
Chapter 2: Growth and Characterization Techniques
66
maximum k of the participating phonons should be of the order of 1/, with their
coherence length. In an amorphous material, with of the order of the nearest
neighbor distance, the degree of disorder is so high that all phonons should participate
in a first order Raman process up to the edge of the Brillouin zone [39]. The Raman
spectrum of amorphous Si reported by Smith et al. [40] illustrates this assumption. An
important, non-trivial conclusion reached by these authors is the fact that, apparently,
the remaining short range order in the amorphous material is sufficient to preserve the
main features of the density of phonon states of the crystalline material. Thus Raman
scattering in amorphous solids can be used to obtain a semi quantitative picture of the
density of phonon states in the amorphous solid and in crystalline solids of similar
coordination and nearest neighbor arrangement. The density of phonon states can be
obtained from the measured Stokes scattered intensity mainly by multiplying the
Bose-Einstein occupation number, assuming the scattering probability is the same for
all phonon modes. However, in this spirit, the measured Stokes scattered intensity, for
all practical purposes, can be treated as the indication of the approximate spectral
dependence of the density of phonon states.
2.3 References
[1] A. Takata, R. Oshima, Y. Shoji, K. Akahane, and Y. Okada, Journal of Crystal
Growth 323, 1 (2011).
[2] M. Kumar, R. Roul, T. N. Bhat, M. K. Rajpalke, N. Sinha, A. T. Kalghatgi, and
S. B. Krupanidhi, Jounal of Nanoparticle Research 13, 3 (2011).
[3] Y. C Song, P. J. Simmonds, and M. L. Lee, Applied Physics Letters 97, 22
(2010).
[4] I. Kamiya, T. Shirasaka, K. Shimomura, and D.M. Tex, Journal of Crystal
Growth, 323, 1 (2011).
[5] T. D. Moustakas, T. Xu, C. Thomidis, A. Y. Nikiforov, L. Zhou, and D. J.
Smith, Physica Status Solidi A – Applications and Materials Science 205, 11,
2560 (2008).
[6] S. Barik, H. H. Tan, J. Wong-Leung, and C. Jagadish, Journal of Nanoscience
and Nanotechnology 10, 3, 1525 (2010).
Chapter 2: Growth and Characterization Techniques
67
[7] L. Li, G. Liu, Z. Li, M. Li, X. Wang, Y. Qu, and B. Bo, Chinese Optics Letters
7, 8, 741 (2009).
[8] C. H. Chen, Optical Review 16, 3, 367 (2009).
[9] S. Liang, H. L. Zhu, X. L. Ye, and W. Wang, Journal of Crystal Growth 311, 8,
2281 (2009).
[10] Z. Y. Yin, X. H. Tang, J. H. Zhao, and S. Deny, Journal of Applied Physics 99,
12, 124306 (2006).
[11] T. Dhawan, A. G. Vedeshwar, V. N. Singh, B. R. Mehta, and R. P. Tandon,
Scripta Materialia 63, 1, 97 (2010).
[12] V. Gulia, and A. G. Vedeshwar, Physical Review B 75, 4, 045409 (2007).
[13] Handbook of thin film deposition process and techniques – Principals,
Methods, Equipment and Applications, edited by Krishna Seshan, William
Andrew Publishing, New York, USA (2002).
[14] John E. Mahan, Physical Vapor Deposition of Thin Films, John Wiely & Sons,
Inc. (2000).
[15] L. I. Maissel, and R. Gland (Ed), Hand book of Thin Film Technology,
McGraw-Hill, NY (1970).
[16] L. Holland, Vacuum Deposition of Thin Films, Chapman and Hall, London
(1970).
[17] Joy George, Preparation of Thin Films, Marcel Decker, NY (1992).
[18] B. D. Cullity, Elements of X-ray Diffraction, 2nd.Edition, Addison-Wesley,
California, USA (1978).
[19] Li Yang, Self-Assembly and Ordering Nanomaterials by Liquid-Phase Pulsed
Laser Ablation, PhD Thesis, School of Chemistry - University of Bristol (2007)
[20] B. C. Smith, Fundamentals of Fourier Transform Infrared Spectroscopy, CRC
press, Boca Raton (1996).
[21] http://en.wikipedia.org/wiki/Selected_area_diffraction
[22] F. Abeles, Optical Properties of Solids, North-Holland Publishing Company
(1972).
[23] Frederick Wooten, Optical Properties of Solids, Academic Press, Inc. (1972).
Chapter 2: Growth and Characterization Techniques
68
[24] Encyclopedia of Spectroscopy by Heinz-Helmut Perkampus, VCH
Verlagsgesellschaft mbh. D-69451 Weinheim (Federal Republic of Germany)
(1995).
[25] B. Streetman, Solid State Electronic Devices, 4th Ed., PHI, New Delhi (1995).
[26] R. B. Barnes, and M. Czeeny, Physical Review 38, 328 (1931).
[27] Holger T. Grahn, Introduction to Semiconductor Physics, World Scientific
Publishing Co. Pte. Ltd. (1999).
[28] Richard H. Bube, Electrons in solids: An Introductory Survey, 2nd Edition,
Academic Press, Inc. (1988).
[29] N. F. Mott, and E. A. Davis, Electronic processes in Non-crystalline materials,
Clarendon Press-Oxford (1979).
[30] Sadao Adachi, Optical Properties of Crystalline and Amorphous
Semiconductors: Materials and Fundamental Principles, Kluwer Academic
Publishers, USA (1999).
[31] K. Seeger, Semiconductor Physics, Springer, Berlin (1973).
[32] J. I. Pankove, Optical Processes in Semiconductors, PHI, NY (1971).
[33] J. Tauc, Amorphous and Liquid Semiconductors, J. Tauc Ed., Plenum, London
(1974).
[34] A. H. Clark, Polycrystalline and Amorphous Thin Films and Devices, edited by
L. Kazmerski, Academic, NY (1980).
[35] K. Seeger, Semiconductor Physics, Springer, Berlin (1973).
[36] B. H. Stuart, Infrared spectroscopy: Fundamentals and applications , John Wiley
& Sons, England, 2004.
[37] B. C. Smith, Fundamentals of Fourier Transform Infrared spectroscopy, CRC
press, Boca Raton, 1996.
[38] D. J. Gardiner, Practical Raman spectroscopy, Springer-Verlag (1989).
[39] R. Shuker, and R. W. Gammon, Phys. Rev. Letters 25, 222 (1970).
[40] J. E. Smith, Jr., M. H. Brodsky, B. L. Crowder, M. I. Nathan, and A. Pinzcuk,
Phys. Rev. Letters 26, 642 (1971).