1 Introduction
Photonic crystals (PCs) are periodic arrays of material with different refractive index [
1,
2]. It was first put forth independently by Yablonovitch and John in 1987 [
3,
4]. The major functionality of the PCs is the strong distortion or modification of dispersion, which can influence the behavior of photons. PCs have attracted a wide research attentions owing to their unique light manipulation abilities, demonstrating wide applications in optical sensor, optical filter and various optical integrated circuit devices [
5–
7]. They are usually composed of the solid material like silicon [
8,
9], which can be realized through the combination with semiconductor material to form the Si-SiO
2, SiO
2-GaAs or Si-AlGaAs structure by the dry ethching method or the wet electrochemical process [
10]. However, it is an alternative to fabricate PCs with colloidal suspension like the soft photonic crystals (SPCs) at a low cost and fast response, which can be realized through the self-assembled colloidal microspheres or tuned with different external stimuli [
11–
13]. Until now, much work has been carried out to study the SPCs, like the dually tunable SPCs composed of thermosensitive gel particles [
14], soft glass photonic crystal fibers [
15], and the hydrogel colloidal crystals achieved by simply varying the water content of the microgel pellet before annealing and crystallization [
16]. In this work, we review our recent theoretical study in SPCs, which is composed of alternating ferrofluid layers and dielectric layers.
In general, ferrofluids is a type of colloidal suspension, in which single domain ferromagnetic nanoparticles (about 10 nm in diameter) randomly disperse in polar or nonpolar liquid [
17–
26]. Typically, ferrofluids consists of ferromagnetic particles (like Co or Fe
3O
4) or ferrimagnetic nanoparticles (like CoFe
2O
4) [
27], coated with surfactant to prevent their aggregation due to the van der Waals and magnetic forces [
27–
30]. This stable suspension would be disturbed with the appearance of the external magnetic field, resulting in a redistribution of the these ferromagnetic nanoparticles in the suspension. Finally, they form linear chains or columns. Due to the contactless control of magnetic fields and fast response, magnetic field controllable assembly has been regarded as a convenient and efficient method to create ordered colloidal arrays and modulate their photonic properties. Much work has been carried out to study the magnetically controllable PCs through the self-assembly of colloidal spheres [
19], where the charged polystyrene particles containing nanoscale iron oxide nanoparticles or the spinel ferrites material were synthesized through emulsion polymerization. And the lattice spacing can be altered by magnetic fields [
22]. Due to the unique properties of SPCs, their wide applications include the magneto-optical devices [
28,
29,
31–
33], biomedical treatment [
34,
35], cancer diagnosis [
36] and hypothermal treatment [
37].
In this review, we theoretically investigate the optical properties in 1D SPCs [
38–
42]. The proposed SPCs is composed of alternating ferrofluid layers and dielectric layers. Due to the magnetic field induced anisotropic property of ferrofluids, the photonic band gap can effectively be tuned with the initiation of an external magnetic field and the volume fraction of the nanoparticles. The absorption effect in the ferrofluids layer is considered with ferromagnetic nanoparticles coated with metallic layer. The complex wave vector results in the appearance of an additional band gap in the lower frequency region. Moreover, these band gaps blueshift when the external magnetic field is enhanced, and redshift when the thickness of metallic layer is increased. Graded ferrofluids layer in the SPCs is investigated through a varying number of deposited ferrofluids layers. Regarding each layer in the multilayer structure as a series of capacitance, the effective dielectric constant is derived. Numerical results have shown that the position and width of the photonic band gap can be effectively modulated by varying the number of graded composite layer, the volume fraction of nanoparticles and the external stimuli. Finally, the nonlinear optical response in the ferrofluids is studied, where ferromagnetic nanoparticles are coated by a nonmagnetic nanoshell with an intrinsic second-harmonic generation (SHG) susceptibility in a nonmagnetic host fluid. The SHG of such materials possess magnetic-field controllabilities, redshift, and enhancement.
This review is organized as follows. In Section 2, we introduce the transfer matrix method and the magnetic filed induced structure anisotropic factor
α, which are frequently employed in our theoretical study. In Section 3, we study the magnetic field controllable photonic band gap in the SPCs with ferrofluids, see the original research work in Ref. [
38]. In Section 4, the complex wave vector in the ferrofluids layer is investigated, where the ferromagnetic nanoparticle is coated with metallic layer, see the original research work in Ref. [
39]. In Section 5, the graded multilayer structure of the ferrofluids is studied, see the original research work in Ref. [
40]. In Section 6, the nonlinear optical materials with an enhanced SHG susceptibility is presented, see the original research work in Ref. [
41]. This review ends with a summary in Section 7.
2 Fundamentals
2.1 Transfer matrix method
Under normal incidence, the schematic light pathway between two surfaces (surface I and surface II) with different refraction index is illustrated in Fig. 1, where
ni is the refraction index of the incident space,
n1 is the refraction index of material 1,
no is the refraction index of the outgoing space. The incident beam undergoes an external reflection at the first interface I, and the transmitted beam undergoes an internal reflection and transmission at the second interface II. Dynamic properties of the electric field and magnetic field are contained with boundary conditions. Namely, normal components of
D(
B) and tangential components of
E(
H) are continuous, which can be explicitly expressed as [
43,
44]
where Ei is the incident electric field, is the reflected (transmitted) electric filed at interface I, is the reflected (transmitted) electric filed at interface II. The definition of the H filed is the same as that of the E field. Using the relation and the boundary conditions Eq. (2), the magnetic field can be written as a function of the electric field:
Assuming , thus , and . Eq. (3) and Eq. (4) can be simplified as
Additionally, there is a phase difference δ between and , where . Thus, and . Substitute and into Eq. (1) and Eq. (5), we can get the following relations,
Rewritten them in matrix form,
where
Now the characteristic equation between two layers is obtained [Eq. (7)]. Each layer of the multilayers has its own transfer matrix and the overall transfer matrix of the N periods PCs is the product of individual transfer matrices. For N unit layer, it leads to the matrix equation,
Using the boundary conditions, the transfer matrix could be rewritten in the form:
The coefficients of reflection and transmission are defined as
These expressions can be used for any number of layers in PCs to determine the coefficients of transmission (
) and reflection (
) [
2,
45].
For the 1D PCs with double layers, the dispersion relation admits the following form
which is got by solving the non-zero solution of det (
[
46]. where
d1(
d2) is the thickness of corresponding layers.
d is the lattice constant and
.
k represents the wave vector in the PCs,
denotes the local wave vector of layer 1, and
is the local wave vector of layer 2.
ω is the frequency of light or electromagnetic waves, and c is the speed of light in vacuum.
2.2 Magnetic structure anisotropic factor
For the ferrofluids, ferromagnetic nanoparticles around 10 nm in diameter randomly distributed in the suspension. When the external magnetic field (
H) was applied, ferromagnetic nanoaprticles will align along the field direction, thus changing the microstructure of the system correspondingly [
47–
53]. The schematic structure of the ferromagnetic nanoparticle under the influence of the magnetic field is shown in Fig. 2.
Let
α represent the field induced structure anisotropic factor. In detail,
α denotes the local field factors
and
for longitudinal and transverse field cases, respectively [
54]. Here the longitudinal (or transverse) field case corresponds to the fact that the
E-field of the light is parallel (or perpendicular) to the particle chain. There is a sum rule for
and
,
. The parameter
α measures the degree of anisotropy induced by the applied magnetic field
H [
55]. More precisely, the degree of the field-induced anisotropy is measured by how much
α deviates from unity,
for transverse field cases and
for longitudinal field cases. As
H increases
and
should tend to 0 and 1.5, respectively, which is indicative of the formation of more and more particle chains as evident in experiments.
A crude estimate of α can be obtained from the contribution of chains, namely,
where
ϕ denotes the volume fraction of the structured particles in the suspension,
Nk the depolarization factor for a chain with
k structured particles,
V0 the volume of one particle in suspension (considered to be spherical and all identical), and
the density of the chain which is a function of
H [
56,
57]. It is noteworthy that for given
ϕ,
also depends on the dipolar coupling constant which relates the dipole–dipole interaction energy of two contacting particles to the thermal energy. Specifically, if there is no external magnetic field
, the magnetic moments within the ferrofluids particles are randomly distributed, which indicates that no net measurable magnetization can be obtained. It leads to
. But when an external magnetic field is applied, the magnetic moments of the particles orient along the field direction of the externally applied field. It means that the alignment of magnetic moments is very sensitive to the external magnetic field [
58]. Therefore,
α should be a function of external magnetic fields
.
3 Magneto-controllable SPCs based on ferrofluids
Here we present a class of magneto-controllable SPCs based on ferrofluids [
38]. The proposed structure is composed of alternating ferrofluid layers and dielectric layers. Periodic array of dielectric scatters and the observation of the strong localization of photons are the essential properties of PCs in analogy to the allowed (forbidden) energy bands (gaps) of semiconductors [
59]. This funny field has inspired great interest in recent years because of their potential ability to control the propagation of electromagnetic waves or modify the density of electromagnetic states inside the crystal [
14,
60,
61]. PCs with complete band gaps have many applications [
62], including the fabrication of lossless dielectric mirrors and resonant cavities for light [
63]. In addition, the visibility of graphene layers was found to be enhanced greatly when one-dimensional (1D) PCs were added [
64], and the linear and nonlinear optical properties of 1D PCs containing ZnO defects were also studied [
65]. Recently the electric tunability of PCs with nonlinear composites was theoretically explored [
66]. Experimentally, magnetic-field tunable photonic stop bands in a stack of containers with magnetizable ferromagnetic spheres were studied [
67]. Colloidal photonic crystals, which were magnetically fabricated by using superparamagnetic magnetite-nanocrystal clusters, can also realize stop bands covering the entire visible spectrum [
68]. Usually a tunable band gap in PCs is achieved by varying the lattice constant or symmetry of the perfectly ordered crystal by using different methods such as elastic stress (structure transformation) [
69], temperature tuning [
70], femtosecond direct writing technique [
71] or magnetic (electric) fields [
67,
72]. Meanwhile, the following developments in PCs are also very fascinating, such as tunable photonic band in two-dimensional photonic crystal slab waveguides by atomic layer deposition [
73], tunability of PCs due to the electrically induced birefringence of the twisted dielectric grains [
74] and electrical tuning of three-dimensional photonic crystals using polymer-dispersed liquid crystals [
75]. In this section we exploit a class of magneto-controllable 1D SPCs, which are made of colloidal ferrofluids.
3.1 Formulism
For 1D SPCs with double layers (see Fig. 3), the local field factor induced by the external magnetic field in the suspension can be obtained by the Ewald Kornfeld formula [
54]. If there is no special instructions, we shall use
α to denote both
and
in the following. Here we consider the cobalt nanoparticles suspended in the water.
Due to the different polarization of the incident light, the effective dielectric constant of the composite
will be
or
. Here we use
ε to represent
and
, which can be given through the wellknown Maxwell–Garnett theory [
55,
76–
78]:
where
p is the volume fraction of the nanoparticles in the composite suspension.
is the dielectric constant of the nanoparticles.
is the dielectric constant of host fluid (water). Here we take
of the cobalt nanoparticles as
, which is characterized by using the incident wavelength
[
79], and the dielectric constant of water is
. From Eq. (15) we know the anisotropy factor
α induced in this composite has a direct effect on the effective dielectric constant of the composite. Thus, the refractive index of this layer is tuned correspondingly.
Then we use the transfer matrix method [
80] to study the band structures of 1D periodic photonic structures. For 1D SPCs with double layers, the dispersion relation is in the form as
where d1(d2) is the thickness of corresponding layers. Here we take layer 1 as the ferrofluid composites and layer 2 as the air. d is the lattice constant and . k represents the wave vector in the PCs, denotes the local wave vector of layer 1, and is the local wave vector of layer 2. ω is the frequency of light or electromagnetic waves, and c is the speed of light in vacuum. The dielectric constant of air is taken as .
3.2 Numerical results and discussions
Now we are in a position to do numerical calculations in our proposed 1D SPCs. Figure 4 shows the calculated band structure of the model system. When the magnitude of the applied magnetic field He increases from zero to a large value (namely, the longitudinal local He factor changes from 1.0 to 0.2), we find that He has a significant effect on the band gaps and causes them to move towards a higher frequency region (blue shift). Next, we display the first band gap width in Fig. 5. The is shown to get larger when approaches zero step by step. Alternatively, the band gap width is caused to increase when the magnitude of the external magnetic field He increases.
Figure 6 shows the cobalt concentration effect on the band structure of the model 1D SPCs. In this case, we set . When p gets larger (i.e., the ferrofluid becomes denser), the first and second band gaps get wider and move towards the lower frequency region (red shift). Here, represents the case that there are no cobalt nanoparticles. In this case, the band gaps are caused to appear by the combination of pure-water layers and air layers. Our results show that the composite effect in ferrofluid layers plays an important role as p is non-zero. In such cases, if an external magnetic field He is applied, it can lead to a tunable effective dielectric constant (or refractive index) of the ferrofluid layer, thus yielding magneto-controllable band gaps.
In this section, we have only calculated the case of the
E component being parallel with the nanoparticle chain, i.e., longitudinal
E case. For the transverse
E case, the corresponding band gaps can also be tuned. However, for the same
He, the tunability for the transverse
E case is less and opposite, due to the existence of the sum rule
In addition, the formation of nanoparticle chains can be weakly affected by the application of incident electromagnetic waves (e.g., of light [
81].) Apparently, this does not affect the present results at all.
4 Magneto-controllable SPCs with the incorporation of the absorption effect
Until now one-dimensional, two-dimensional, and three-dimensional PCs have been widely studied [
82–
84]. Theoretically, the plane wave expansion [
85], the transfer matrix [
86], and the finite difference time methods [
87] have been well developed to study the propagational properties of photons. Experimentally, the lithography [
88,
89], the self-assembly [
11], and the colloidal crystal template methods are developed for fabrication of PCs with well controlled structure [
90]. Among them, the ability to get tunable band gap is a topic of much interest, which is originated from the variation of refractive index or the symmetry of materials. With the utilization of composite microstructures [
91] tunable photonic band gaps can be realized by different external factors such as an electric [
92], magnetic field [
38], temperature [
93] or mechanical force [
94]. Mostly, each component of PCs is a nonabsorbent material, so the wave vector in the system is frequency independent. If the metallic part is inserted in the periodic structure, the pathway of the electromagnetic field will be different [
95–
97]. Here we investigate the 1D SPCs based on ferrofluids with consideration of the absorption effect, where the ferromagnetic nanoparticles coated by the metallic layer (see Fig. 7). It is composed of a ferrofluids layer and an air layer.
a is the thickness of the ferrofluids layer, and
b is the thickness of the air. The filling factor representing the ratio of the ferrofluids in the lattice is defined as
. For the air layer, the refraction index is taken as
.
In our model system, ferromagnetic linear nanoparticles of linear dielectric constant coated with a nonmagnetic metallic nonlinear shell are investigated in ferrofluids. New nanoparticles (magnetic-metallic composite) combining an optical signature with magnetic response are particularly useful [
98–
101]. For the magnetic-non metallic shell, they are coated by stabilizing surfactant layers to prevent the aggregation of the nanosized magnetic particle under van der Waals forces. To investigate the EM wave propagation in this magnetic field induced anisotropic structure, we choose the magnetic-metallic core-shell structure. Synthesis of the metallic (Au, Ag) coated cobalt nanoparticles can be realized by partial replacement reaction [
35,
102,
103]. Through this homogeneous non-aqueous approach, magnetic core-metallic shell composite forms the stable ferrofluids.
4.1 Formulism
We theoretically investigate the properties of optical propagation in one-dimensional SPCs based on ferrofluids by using the transfer matrix method. Specifically, ferrofluids are composed of the suspended ferromagnetic nanoparticles coated with silver, which has a frequency dependent dielectric function. Incorporation of the absorption effect in the 1D SPCs, the complex wave vector can be expressed as [
104]
where K represents the complex wave vector. d is the lattice constant. and denote the real and imaginary part, respectively. To get the expression of and , we transform Eq. (16) as the following:
For simplicity, we take the dielectric layer 2 as air in our calculation; actually we can also take it as SiO2, ZnSe, and so on. Substitute , , and into Eq. (18). It becomes
Simplify Eq. (19), and we finally get
Thus,
As we know, the real part of the complex wave vector K, namely kr, corresponds to the wave number in the 1D SPCs, while the imaginary part ki determines the absorption coefficient β. It can be expressed as
Simplify by using and we obtain
The real part of the photonic band structure for given wave number kr can be found based on Eqs. (17) and (24) by seeking the frequencies ω which follow the equation:
In our numerical calculations, the dielectric constant of the silver
is a function of
ω. It follows a Drude dielectric function, which is valid for noble metals within the frequency range of interest.
can be expressed as [
41]
where
is the bulk plasmon frequency,
is the high-frequency limit dielectric constant,
is the static dielectric constant, and
γ is the collision frequency. Specifically, for silver,
,
, and
rad/s [
105]. In addition, we take
(a typical value for metals). For the cobalt nanoparticle, we take
. It should be reasonable to see the
as frequency-independent, since it only varies very slightly with the frequency of external fields.
Thus, the equivalent linear dielectric constant
for the core-shell composite nanoparticle can be obtained through the Maxwell-Garnett formula [
55,
106], which describes a two-component composite where many particles of the dielectric constant
and the volume fraction
vp are randomly embedded in a host medium. Thus,
where
f is the volume ratio of the nanoshell to the whole coated nanoparticle. It equals to
. Shell thickness parameter
, where
r relates to the radius of the magnetic core.
R is the radius of the core-shell composites. The thinner the shell layer, the larger t is. The Maxwell-Garnett formula follows a well-known asymmetrical effective medium theory, and may thus be valid for a low concentration of nanoparticles in the composites [
107].
The effective linear dielectric constant of the whole suspension under the present consideration
can be given by the developed Maxwell-Garnett approximation which works for suspensions with field-induced anisotropic structures [
106]:
is a frequency-independent dielectric constant of the host liquid, and for water. The volume fraction of the nanoparticles in the suspension is p, and here we take . The parameter α measures the degree of structural anisotropy due to the formation of nanoparticle chains, which are induced by the external magnetic field . The aim of the intended introduction of α into Eq. (28) is to include the field-induced anisotropy in the system, at least qualitatively. In detail, α denotes the local field factors, and for longitudinal and transverse field cases, respectively. Schematic structure of the local magnetic field anisotropy factor and is shown in Fig. 8. As for the refracitve index n1 of the ferrofluids layer, it can be easily obtained from expression , where is the effective dielectric constant of the ferrofluids layer. Thus, and .
4.2 Numerical results and discussions
Figure 9 shows the absorption coefficient of 1D SPCs as a function of the frequency . When the external magnetic field He is applied, the coated nanoparticles will form chains along the magnetic field direction changing the microstructure of the system accordingly. For the sake of numerical calculations, we take and . First, we consider the longitudinal (L) field cases as shown in Fig. 9. When the local magnetic factor gradually decreases from 1.0 to 0.02, the structure anisotropy induced by the external magnetic field makes the dispersion curve blueshift (moving to the high frequency region). Meanwhile the absorption coefficient decreases and the absorption curves are not continuous. To fully understand the origin of such phenomena we can take a look at the inset Figs. 9 (a) and (b). Inset (a) shows the real part of the complex wavevector as a function of the frequency. An additional band gap appears due to the dissipation coefficient γ in Eq. (26) in the low frequency region. Now let us take a look at the distribution of as a function of frequency, which is shown as inset (b). It represents the real part of the complex wave vector , and its oscillation defines the frequency regions in which the argument takes real values (the regions where ). In other words, the band gaps happen in the frequency region where . When gradually decreases, the distribution of blueshift (moving to the higher frequency region). For the transverse (T) field cases the behaviors of the dispersion curve is similar to those for L field cases (not shown here). Thus, the enhanced magnitude of the external magnetic filed ( decreases or increases) causes the band gaps of 1D SPCs blueshift.
Figure 10 demonstrates the absorption coefficient of 1D SPCs as a function of the frequency depending on the thickness parameter t. For the L field cases, and . When the thickness of the shell increases, t will decrease. From Fig. 10, one can clearly see that band gaps shift to the low frequency region when t increases from 0.1, 0.3, to 0.8. That means, the thinner shell layer of silver gives rise to the redshift of band gaps. Also the larger t leads to higher absorption coefficient . Inset (a) illustrates the distribution of as a function of frequency. These band gaps in Fig. 10 are caused by the frequency range where as shown in inset (b).
The influence of filling factor ν on the dispersion curve is illustrated in Fig. 11. Here we keep the parameters and . By tuning the filling factor ν from 0.1, 0.3 to 0.5, we can find a redshift (moving to the low frequency region) of the band gap of the 1D SPCs as shown in Fig. 11. It is evident that the absorption coefficient becomes larger when ν increases (Fig. 11). The distribution of and are shown as inset (a) and (b) respectively.
We have also determined the variation of the band gap width as a function of the local magnetic factor α, the thickness ratio t and the filling factor ν of the ferrofluids layer. The band gap width tends to increase when the magnitude of the local magnetic factor decreases or t increases (not shown here). Specifically, the band gap width variation as a function of filling factor ν are shown in Fig. 12(a) for the L field case where , . ν is taken from 0.0 to 1.0. It can be observed that the variation of the second band gap width is closely related to ν. It got increased when ν is smaller than 0.35, but when ν is larger than 0.35 the width is reduced. The situation is the same for the T field case as shown in Fig. 12(b).
Based on the transfer matrix method, we theoretically studied the complex wave vector in 1D SPCs, which are composed of the periodic ferrofluids layer and air layer. The behavior in the 1D SPCs is quite different from the real wave vector in the PCs. Numerical results show that structure anisotropy induced by the external magnetic field causes the dispersion curve to blueshift when approaches 0.0, or is close to 1.5. Also by increasing the thickness parameter t and the filling factor ν the band gaps will redshift. These band gaps in this proposed 1D SPCs structure are caused by the oscillating within the frequency region where . An additional band gap occurs in the low frequency region due to the dissipation factor γ in the dielectric function of silver. Also the band width variations are calculated. Our results presented in this section provide a guideline for designing the potential photonic devices based on the ferrofluids and it is helpful for improving the quality of these devices.
5 1D graded SPCs with multilayer structure
PCs have attracted wide research attention owing to their unique light manipulation abilities, demonstrating wide applications in optical sensor, optical filter and various optical integrated circuit devices [
5]. To fabricate them, both top down (lithographic technique) and bottom up method (nanoscale self-assembled method) [
108] have been put forward to realize different structures like the slab [
109], multilayer [
110], cylinders array [
111], or even the fractal structures [
112]. Among them, one most studied structure is in the form of planar films [
113], where the periodic alternating layers is obtained by bottom-up assembly. This procedure is based on sequential spin-coating suspensions of nanoparticles on the substrates. With such a method, simple, stable, inexpensive PCs are obtained. Meanwhile, modulation of the refractive index is achieved by alternating the size, type, concentrations of nanoparticles in composite layer or by controlling the number of the deposited layers [
114,
115]. Moreover, PCs are able to be realized through a combination with channels, walls, or microfluidic chips [
116], where colloids are forced through the area with pressure. In most cases, the composite layer is a suspension of monodispersed colloid, constituted by dielectric SiO
2 or TiO
2 particles [
114,
117]. If small metallic nanoparticles are introduced into a suspension, the third order Kerr-type nonlinearity of composites have to be included, resulting in an enhancement in the local electric field [
55,
92]. Simulation results have shown that tunable plasmon resonant effects arise with gold nanoparticles inserted into a periodic PCs [
118].
Here we study the optical properties in 1D SPCs with graded multilayer. Graded materials are the ones whose material properties are spatial dependent. It has long been recognized that gradients in layer composition can improve the performance of a material [
119–
121], and open up the additional possibility of shaping the refractive contrast [
122–
124]. Let us consider a graded multilayer structure with
N layers, the dielectric constant vary continuously along the
z direction and in the
ith layer the dielectric constant is expressed as
. The schematic structure of our proposed 1D GSPCs is illustrated in Fig. 13. It is composed of one composite layer and one air layer. Three layers with different nanoparticle volume fraction to represent the graded composite layer in Fig. 13. Specificly, Ag nanoparticle embedded in the TiO
2 is studied in the composite layer.
5.1 Formulism
For 1D PCs with an infinite period, the whole structure can be regarded as an series of multilayer structure, acting as a LC circuit. The reciprocal of the equivalent capacitance of multiple capacitors connected in series is the sum of the reciprocals of the individual capacitances . It can be expressed as , where . ϵ is the dielectric constant, s is the capacitor plates of area, ds is the distance between capacitor plates, kc is the electrostatic constant. Thus, by using the equivalent capacitance of series combination, the optical response of the graded composite layer can be expressed as
where
L is the thickness of the graded film, and it is divided into
N layers. Due to the periodicity of the two refractive index materials, the multilayer structure creates a periodic potential for photons in one dimension. Electromagnetic waves of a given frequency propagating through a stack of layers at normal incidence is considered [
125,
126]. By resorting to the solution of 1D Maxwell’s equations, the electric and magnetic fields component along the incident light direction can be related via the transfer matrix.
As metallic nanoparticles are included in the composite film, the local electric field enhancement induced by the third order nonlinearity has to be considered. With Ref. [
92] the local electric field inside the nanopartical can be written as
, where
is the third order nonlinearity,
is equal to
and
E0 is the external electric field. The effective dielectric constant of the composite layer (
) can be given through the Maxwell–Garnett theory [
55]:
where
p is the volume fraction of the nanoparticles in the composite suspension.
is the dielectric constant of the nanoparticles.
is the dielectric constant of TiO
2 and it is fixed as
.
is taken as
for Ag nanoparticles, which is characterized by using the incident wavelength
[
79].
5.2 Numerical results and discussions
In this section, we present our numerical results (Figs. 14–19) of 1D GSPCs consisting of alternating air layers and Ag nanoparticle based composite layers. With the incorporation of metallic nanoparticles, local electric field induced by the external stimuli has to be included. Let x represent . The refraction index of the composite layers as a function of the external electric field stimuli x is illustrated in Fig. 14. It shows that tunable refraction contrast can be obtained when x is changing from 0.0 to 1.0, indicating an enhanced magnitude of external field. With a different magnitude of the external field, the refraction index can be effectively tuned, such spatial modulation opens up a forbidden gap in the electromagnetic dispersion relation.
Figure 15 shows the dispersion relation of the 1D GPCs with different number of composite layer N (2, 5, 10). For the graded profile with 2 layers, , 0.6; 5 layers, , 0.3, 0.5, 0.7, 0.9; 10 layers, , 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0. In each composite layer, the volume fraction of the nanoparticles is fixed as . Eq. (29) indicates that the composite layer with different number of layers will result in a change of the refraction index in each layer. From Fig. 15, we can find that the photonic band gap is moving towards the low frequency region when the number of layer N is closing to 10. And the photonic band width is getting wider with smaller . Thus, the band gap position and band gap width can be effectively tuned by changing N.
The same as Fig. 15, but in each composite layer, the volume fraction of the nanoparticles are different and the results are shown in Fig. 16. For the graded profile with 2 layers, , 0.6; 5 layers, , 0.3, 0.5, 0.7, 0.9; 10 layers, , 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0. With Eq. (30), our results indicate that spectral position of the band gap can effectively be tuned by changing the volume fraction in each composite layer.
In Fig. 15 and Fig. 16, the graded profile (continuous variation in the magnitude of x or p) is investigated. Now we focus on the linear profile, namely, the multilayer structure of PCs is purely constituted by the air layer and composite layer with a fixed x or p. Fig. 17(a) shows that the band gap position is moving towards the high frequency region with an enhanced magnitude of x. But the band gap width is a constant even with different x as shown in Fig. 17(b), which is quite different from that of graded profile (Fig. 15). With a variation of volume fraction p in the composite layer, the results are shown in Fig. 18. With a low volume fraction, the photonic band gap position [Fig. 18(a)] moves towards the low frequency region. The first band widths are also calculated in Fig. 18(b) in green curve. It is found that the band gap width is still invariant in the linear profile even with different p.
In Fig. 19(a), the dispersion relation with linear profile through the variation of the corresponding thickness of the two alternating layers is explored. Here we keep the lattice constant d as a constant. When the thickness of the composite layer d2 is taken from 0.5, 0.7 to 0.9, the band gap position will move towards the high frequency region. Meanwhile, the first band gap width is getting larger with an increased d2, as shown in Fig. 19(b).
As we know, PCs are designed to affect the propagation properties of photons. The periodic spatial modulation opens up a forbidden gap in the electromagnetic dispersion relation. In our proposed 1D GSPCs, the refraction index can be effectively tuned by the external electric field, the volume fraction of the nanoparticles and the number of graded composite layer.
6 Second-harmonic generation with magnetocontrolling abilities in ferrofluids
In this part, the nonlinear photonic responses of soft materials based on ferrofluids are presented [
41]. We first introduce second harmonic crystals with magnetocontrolling abilities about the proposed soft material. Theoretical [
127] and experimental [
128–
130] reports suggested that spherical particles exhibit a rather unexpected and nontrivial behavior, second harmonic generation (SHG), due to the broken inversion symmetry at particle surfaces, despite their central symmetry which seemingly prohibits second-order nonlinear effects. In colloidal suspensions, the SHG response for centrosymmetric particles was experimentally reported [
128]. Most recently, the SHG from centrosymmetrical structure has received extensive attention (e.g., see Refs. [
131–
133]). In view of recent advancements in the fabrication of nanoshells [
134,
135] and single domain ferromagnetic nanoparticles [
136], we shall theoretically suggest a class of nonlinear optical materials in which single domain ferromagnetic nanoparticles coated by a nonmagnetic nanoshell with an intrinsic SHG susceptibility are suspended in a nonmagnetic host fluid (Fig. 20). For such a material, there is not only an incident light, but also an external magnetic field
. The latter yields the formation of chains of coated and thus yields the effective SHG with magnetic-field controllabilities [
137–
139]. This kind of SHG is expected to receive a broad interest in the physics, optics, and engineering communities, because it is difficult or impossible to achieve conventional, naturally occurring materials or random composites [
55,
106,
140–
143].
6.1 Formulism
When a collection of objects (e.g., coated nanoparticles or nanoparticle chains) whose size and spacing are much smaller than the wavelength
λ of an incident light, the light passing through the structure cannot tell the difference, and hence the inhomogeneous structure can be seen as a homogeneous one [
144]. In this regard, to investigate the SHG responses of the proposed material, we are allowed to average over inhomogeneous coated nanoparticles or nanoparticle chains, conceptually replacing the inhomogeneous objects by a homogeneous material (Figs. 21 and 22).
Let us consider a linear ferromagnetic spherical nanoparticle with dielectric constant and radius r, which is coated by a nonlinear optical nonmagnetic nanoshell (e.g., noble metals like silver or gold) with frequency-dependent dielectric constant and intrinsic SHG susceptibility with each of the superscripts running over the three Cartesian indices. Here ω denotes the angular frequency of a monochromatic external electric field, and the radius of the whole coated nanoparticle is represented as R in the following. All the coated nanoparticles are suspended in a linear nonmagnetic host fluid of In the nanoshell, the local constitutive relation between the displacement field and the electric field in the static case is given by
where and are the ith component of and , respectively. Here denotes the linear dielectric constant, which is assumed for simplicity to be isotropic. Upon certain symmetry, one can have
If a monochromatic external field is applied, the nonlinearity in the system will generally generate local potentials and fields at all harmonic frequencies. For a finite-frequency external electric field of the form
the equivalent and effective SHG susceptibilities for the coated nanoparticle and the whole suspension,
[Eq. (35)] and
[Eq. (40)], can be Reproduced by considering the volume average of the displacement field at the frequency
in the inhomogeneous medium. The electric field
in the nanoshell can be calculated [
140] using standard electrostatics, by solving the corresponding Maxwell equation
which implies that
, where
ϕ is an electric potential. Next, the equivalent linear dielectric constant
for the coated nanoparticle can be given by the Maxwell–Garnett formula [
106]:
where
is the volume ratio of the nanoshell to the whole coated nanoparticle. The Maxwell-Garnett formula is a well-known asymmetrical effective medium theory, and may thus be valid for a low concentration of nanoparticles in composites [
107]. While treating a single coated nanoparticle with full range
, the Maxwell–Garnett formula [Eq. (34)] holds for the calculation of
indeed due to the natural existence of asymmetry in the coated nanoparticle. The solution of
in Ref. [
140] can be used to derive the equivalent SHG susceptibility for the coated nanoparticle,
which can be expressed as
where denotes a volume average over the nanoshell. To show the feature of the proposed material, we assume the optical responses [namely, and ] of an equivalent spheroid or a chain (see Fig. 21) to be the same as those of each coated nanoparticle inside the spheroid or chain. For convenience, the suspension is further assumed to be the one that contains identical equivalent spheroids with geometrical depolarization factor (or ) along major (or minor) axis (Fig. 22). In the following, α is also called local magnetic field factors, because, from the physical point of view, the spheroids (or chains) are just formed due to the application of external magnetic fields. In this connection, the summation term in Eq. (35) admits where
with
and . Here
In the following analysis, we assume the spheroidal particle possess the same linear response as the coated particle. But, for the nonlinear response, to include the shape effect, let us introduce a local magnetic field factor
α that denotes
and
for longitudinal and transverse field cases, respectively (Figs. 21 and 22). There is a sum rule for
and
,
[
145]. The parameter
α measures the degree of structural anisotropy due to the formation of nanoparticle chains, which is induced to appear by the external magnetic field
. More precisely, the degree of the magnetic-field-induced anisotropy is measured by how much
α deviates from
,
and
. As
H increases,
and
should tend to 1 and 0, respectively, which is indicative of the formation of longer nanoparticle chains (or equivalent spheroids). Therefore,
α should be a function of external magnetic fields
H. Specifically, for
there is
, which corresponds to an isotropic system in which all the coated nanoparticles are randomly distributed in the suspension. After the introduction of
α, while we assume the spheroid possess the same nonlinear response as the coated particle, for more accurate estimation of the nonlinear response of the spheroid, let us replace
with
. That is, the shape effect of spheroids has been included. Apparently, the substitution of
into Eq. (35) yields the same expression as Eq. (15) in Ref. [
140] in which a random composite of particles with nonlinear non-metallic shells was investigated. Alternatively, according to the calculation of major-axis depolarization factor
L of prolate spheroids [
145]:
where is the ratio between the major and minor axes of the elliptic cross section, α can be given in terms of the number n of nanoparticles in an equivalent spheroid (or a chain):
Throughout this section, both the nano-shell and host fluid are nonmagnetic, and the core is ferromagnetic. The existence of ferromagnetism in the core makes the chain formation possible as long as an external magnetic field
H is applied [
137]. We have added the magnetic contribution to the expressions for optical responses through the local magnetic field factor
α. So far the exact relation between
α and
H lacks because it relates to complicated suspension hydrodynamics and kinetics at nonequilibrium. Nevertheless, the results obtained from Fig. 23 are valid for equilibrium systems in which neither hydrodynamics nor kinetics can affect the SHG. Without loss of any generality, to capture the features and their physics of the proposed materials, we use
α to represent the strength of the external magnetic field
H in Fig. 23.
Now we see the suspension as the one in which the equivalent spheroids with
[Eq. (34)] and
[Eq. (35)] are embedded in the host fluid. Owing to the
directed external magnetic field, all the spheroids should also be directed along
z axis, but with the locations being randomly distributed. According to the general expression for the effective SHG susceptibility [
140], we take one step forward to express the effective SHG susceptibility
for the whole suspension in the dilute limit:
where p is the volume fraction of the coated nanoparticles. In Eq. (40), is a local electric field enhancement factor, and it is obtained by deriving the factor in a spheroid of depolarization factor α with principle axes along external electric fields, .
Since metal surfaces were used to obtain enhanced SHG responses [
146], for our numerical simulations we take a Drude dielectric function (that is valid for noble metals within the frequency range of interest) for
:
where
is the bulk plasmon frequency (which is proportional to the surface plasmon frequency
, e.g.,
for a sphere [
147],)
the high-frequency limit dielectric constant,
the static dielectric constant, and
γ the collision frequency. Specifically, for silver,
,
, and
rad/s [
105]. In addition, we take
(a typical value for metals),
nm (a typical value for single domain ferromagnetic nanoparticles [
137],) the thickness of nanoshells
nm (or
nm),
(e.g., for cobalt), frequency-independent dielectric constant
(high-frequency limit dielectric constant of water), and
. Based on the values of
and
p, we obtain the volume fractions,
pc and
of the ferromagnetic and nonlinear optical components in the whole suspension,
and
according to the relations
and
We shall investigate the light energy 1–
eV, which corresponds to the wavelength
–
nm, or the frequency range
–
rad/s.
6.2 Numerical results and discussions
We show the effective SHG susceptibility of the whole suspensions in Fig. 23. For longitudinal field cases [Fig. 23(a), (b), (f), and (g)], as decreases (i.e., external applied magnetic field H increases, and longer nanoparticle chains are formed accordingly), the resonant peak in the SHG response is not only red-shifted (namely, located at a lower frequency), but also further enhanced, when compared to the isotropic case at zero external magnetic field [Fig. 23(c) and (h)]. However, inverse behavior appears for transverse field cases [Fig. 23(d), (e), (i), and (j)]. In detail, for transverse field cases, as the external magnetic field increases, the resonant peak in the SHG signal is both reduced and blue-shifted (i.e., located at higher frequency), and hence becomes less attractive.
When the magnetic field is applied, the coated nanoparticles will form chains, thus changing the microstructure of the system accordingly. For longitudinal field cases, the nonlinear component will become more abundant along the chains than perpendicular to the chains for transverse field. When there is an incident light, the nonlinear component in the system will generally generate local potentials and fields at all harmonic frequencies. The formation of nanoparticle chains due to the application of external magnetic fields changes the surrounding circumstance of each coated nanoparticle naturally, which in turn affects the local electric field in the nanoshells and hence shifts the resonant plasmon frequency at which the resonant peak appears (Fig. 23). Therefore, in the presence of an external magnetic field, the SHG response becomes anisotropic (i.e., its strength in the longitudinal field differs from that in the transverse field), and the degree of anisotropy can further be adjusted by tuning the external magnetic field. That is, the SHG response of the system can be affected accordingly. In looking for experimental evidence, we note that Du and Luo have reported nonlinear optical effects in suspensions of ferromagnetic nanoparticles (with mean diameter
nm) in kerosene [
148]. They have observed that the nonlinear optical effect is enhanced by applying a moderate magnetic field. However, this mechanism was unclear at that time. Based on the present section, it seems that this enhanced nonlinear optical effect results from the magnetic field-induced anisotropic structure.
7 Conclusions
We have reviewed the optical properties of magnetic-field controllable 1D SPCs. The proposed structure is constituted by alternating ferrofluid layers and dielectric layers. Due to the magnetic field response of the ferromagnetic nanoparticles, they can align along the external field direction, thus changing the microstructure of the system correspondingly. In 1D SPCs, the photonic band gap can be effectively tuned with the initiation of an external magnetic field and the volume fraction of the nanoparticles. For the ferromagnetic nanoparticles coated with metallic layer in ferrofluids, the absorption effect in the 1D SPCs has to be included. The solution of the complex transfer matrix method, indicates that an additional band gap appears in the lower frequency region. And these band gaps blueshift when the external magnetic field is enhanced, and redshift when the thickness of metallic layer is increased. Graded multilayer in the SPCs is studied through a varying number of deposited ferrofluid layers. By regarding each layer in the multilayer structure as a series of capacitance, the effective dielectric constant is derived. Our results show that the position and width of the photonic band gap can be effectively modulated by varying the number of graded composite layer, the volume fraction of nanoparticles and the external stimuli. Finally, the nonlinear optical response (namely, SHG) in ferrofluids has been introduced, and the numerical results show that such materials possess magnetic-field controllabilities, redshift, and enhancement. The utilization of magnetic field in nanoscale assembly is of both fundamental and practical interests. It not only helps to probe colloidal interactions, but also allows the creation of novel complex structures and the fabrication of advanced photonic devices.
Higher Education Press and Springer-Verlag Berlin Heidelberg 2013