One-dimensional Kerr-nonlinear Photonic Crystals

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    applications in integrated optical devices. The 1-D

    NLPC, which consists of Kerr-nonlinear materials

    (e.g., semiconductors, glasses and polymers) [3],

    has recently been applied to such nonlinear opticaldevices as low-threshold optical limiting[4], short

    pulse compressors[5], nonlinear optical diodes[6]

    and all-optical switching [7], etc. In these devices,

    the dielectric constant is changed by a high-inten-

    sity incident beam to dynamically control the

    transmission of light. Under this condition, the op-

    tical limiting is achieved by modifying the incident

    intensity while the all-optical switching requires an

    additional strong pump beam to control the

    switching of a weak probe signal tuned to the band

    edge region. The other nonlinear devices men-

    tioned are based on related nonlinear phenomena

    [3].

    The dynamic control mechanism has previously

    been analyzed by Scalora et al. [8], Tran [9] and

    Scholz et al. [10]. They used nonlinear models

    and calculated energy transmission spectra. The

    complementary information about spectral prop-

    erties can be obtained by analyzing the band struc-

    ture of the 1-D NLPC. For example, Huttunen

    and Torma[11]have reported a novel Fourier nu-

    merical method which was applied to analyze band

    structures in the 1-D NLPC. However, the finite-difference time-domain (FDTD) method can also

    be applied for the same purpose. In the last de-

    cades, much attention has been paid to model non-

    linear media with this method and therefore its

    adaptation would result in the powerful tool for

    analyzing band structures in the 1-D NLPC. There

    is a number of works dedicated to model nonlinear

    media with the FDTD method. Merewether and

    Radasky [12] were the first who used it in this

    way. Various techniques to model Kerr-nonlinear

    media and dispersive nonlinear effects were pre-sented by Zheng and Chen [13], Goorjian et al.

    [14]and Joseph et al. [15]. With these techniques,

    one can investigate the propagation and scattering

    of femtosecond electromagnetic solitons. Alterna-

    tive approaches such as the combined Maxwell

    Bloch FDTD scheme and the Z-transform-based

    FDTD scheme were later proposed by Forysiak

    et al. [16,17], Ziolkowsky et al. [18] and Sullivan

    [19,20]to model more complicated dispersive and

    nonlinear materials. Particularly, the dynamic

    nonlinear optical skin effect and self-induced trans-

    parency effects were studied. Tran[21]was the first

    who calculated band structures in Kerr-nonlinear

    photonic crystals. The notable feature of his ap-proach is the calculation of the electric field from

    a cubic equation derived from the constitutive

    equation for a Kerr-nonlinear medium. We have

    recently applied the Trans approach to calculate

    band structures in Kerr-nonlinear photonic crystal

    slabs[22].

    In this paper, we present a new approach for

    analyzing band structures in 1-D NLPC. It com-

    bines the FDTD method, based on the numerical

    simulation of oscillating dipole radiation, with

    the Kerr-nonlinear model. Such FDTD method

    was first proposed by Sakoda[23]and successfully

    used to calculate band structures in metallic sys-

    tems. With this method, the photonic crystals are

    excited by an embedded oscillating dipole. The

    Kerr-nonlinear model used is borrowed from

    [21,24,25].

    The paper is organized as follows. First, we dis-

    cuss the theoretical considerations of the 1-D

    NLPC. In the second section, we present the

    FDTD method and the Kerr-nonlinear model,

    which are used to analyze band structures. The

    next section discusses the results. In it, the energyspectrum plots calculated for the 1-D LPC and

    1-D NLPC are identified and the band structures

    in the 1-D LPC calculated with the FDTD and

    the plane wave expansion methods are compared.

    We then go on to discuss the band structures in the

    1-D NLPC for different amplitudes of the oscillat-

    ing dipole. We demonstrate the validity of our ap-

    proach by comparing the results with analogical

    results. Finally, we discuss the physical origins of

    the red-shift of the band structures.

    2. Theory

    Here, we consider the FDTD method based on

    the numerical simulation of oscillating dipole radi-

    ation and the Kerr-nonlinear model. The oscillat-

    ing dipole is embedded in the 1-D NLPC, whose

    general geometry is illustrated inFig. 1. It consists

    of alternating layers of materials with high (e1) and

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    low (e2) dielectric constants. The optical thickness

    of the layers with a high dielectric constant isband

    the optical thickness of the layers with a low di-

    electric constant is a b, where a is the period.The layers with a high dielectric constant are

    doped with a Kerr-nonlinear material and are also

    characterized by the Kerr coefficient v(3).

    It is apparent that the 1-D NLPC is invariant

    when we change y toye; v3 x; y e; v3 x;y : 1

    Therefore only the region where 06y6C is con-

    sidered for calculation and in the y-direction the

    1-D NLPC is truncated by the symmetric bound-

    ary condition (BC). The periodic BC truncates

    the structure in the x-direction. In the z-direction,

    the structure is assumed to be infinite. The oscillat-

    ing dipole is situated at ~r0 x0;y0. The parame-tersnxandnydenote the number of subcells, which

    divide the unit cell (the period a). The parameters

    Dx and Dy characterize the dimensions of the sin-gle subcell. All these parameters will be defined in

    the following section.

    For a description of the FDTD method, we

    start with Maxwells equations (Gaussian units)

    r ~E~r; t 1

    c

    o

    ot~H~r; t 4p~PM~r; t

    ; 2

    r ~H~r; t 1

    c

    o

    ot~D~r; t 4p~PE~r; t

    ; 3

    where~E~r; t and ~H~r; t are the electric and mag-netic fields; ~D~r; t is the electric displacement;~PE~r; t and ~PM~r; t are the polarization fields of

    the electric and magnetic dipoles; c is the speedof light in vacuum and e~r is the position-depen-dent dielectric constant. In order to solve Eqs.

    (2) and (3), we need so-called constitutive equation

    that relates ~D~r; t to ~E~r; t. For the linearmedium, it is simply

    ~D~r; t e~r ~E~r; t : 4

    In the nonlinear case, we will have a different con-

    stitutive equation. For the Kerr-nonlinear medium

    (the layers with a high dielectric constant), the di-

    electric constant depends on the electric field ~E~r; tand the Kerr coefficient v(3) [21,24,25]

    e~r e1 v3 ~E~r; t 2: 5

    Now Eq.(5)can be substituted into Eq.(4), which

    is resulted in the constitutive equation for the

    Kerr-nonlinear medium

    ~D~r; t e1 v3 ~E~r; t 2 ~E~r; t : 6

    The polarization fields of the electric and mag-netic dipoles can be expressed in the explicit form

    as:

    ~PE~r; t ~eld~r~r0 eixt; 7

    ~PE~r; t ~hld~r~r0 eixt; 8

    where ~el and~hl are the amplitudes of the electricand magnetic dipoles, ~r0 indicates the position ofthe dipoles within the photonic crystal and x is

    the angular frequency of the oscillation; i refers

    to the imaginary unit andd~r~r0 denotes the Di-rac delta function.

    The electromagnetic energy density W emitted

    per unit time by the oscillating dipole at ~r0 canbe calculated by using the following expression

    [26]:

    W 1

    8p~E~r ~D~r ~H~r

    2h i: 9In accordance with the Bloch theorem[23], the pe-

    riodic BC can be written as

    Fig. 1. Schematic representation of the geometry of the 1-D

    NLPC. The oscillating dipole is situated at ~r0 x0;y0.

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    ~U~r~a; t ~U~r; t ei~k~a; 10

    where~U is any field component (~Eor ~H),~a is theperiod and~k is the wave vector in the first Brill-ouin zone. The symmetric BC can be written as

    [27]

    ~U x; 0 ~U x;Dy ; 11

    ~U x;C ~U x;C Dy : 12

    Restricting ourselves to the H-polarization, Eqs.

    (2) and (3) in two dimensions reduce to

    1

    c

    o

    ot Hz 4phlzd x x0 d yy0 e

    ixt

    oEy

    ox

    oEx

    oy ; 13

    1

    c

    o

    ot Dx 4pelxd x x0 d yy0 e

    ixt

    oHz

    oy ;

    14

    1

    c

    o

    ot Dy 4pelyd x x0 d yy0 e

    ixth i

    oHz

    ox :

    15

    From Eq.(6), we get wanting electric field compo-nents Ex and Ey

    Ex Dx

    e1 v3 Exj j2; 16

    Ey Dy

    e1 v3 Ey 2: 17

    In the denominator of Eqs.(16) and (17)values of

    the electric field components are assumed to be

    known from the previous time step (see the follow-ing section).

    In accordance with the original algorithm

    [23], for H-polarization, for which the magnetic

    field is parallel to z-axis, we use the magnetic di-

    pole to excite the structure. For one-dimensional

    photonic crystals in the in-plane case of the E-

    polarization, for which the electric field is parallel

    to the z-axis, the band structure is the same as in

    the case of the H-polarization, but the electric

    dipole will be used instead of the magnetic one.

    3. Numerical method

    In order to numerically solve Eqs. (13)(17),

    one of the existing finite-difference schemes [28]can be used to approximate both derivatives in

    space and time. We will use the scheme proposed

    by K. Yee, which is the standard for solving Max-

    wells equations. The finite-difference expressions

    corresponding to Eqs. (13)(17)are

    Hp12

    z l 1

    2;m

    1

    2

    Hp12

    z l 1

    2;m

    1

    2

    Dt

    Epy l 1;m 12 Epy l;m 12 Dx

    "Epx l

    12;m 1

    Epx l

    12;m

    Dy

    #

    4pixhlzDt

    DxDy dll0dmm0 exp ixpDt ; 18

    Dp1x l 1

    2;m

    Dpx l 1

    2

    ;m DtDy

    Hp12

    z l 1

    2

    ;m 1

    2

    Hp12

    z l 1

    2;m

    1

    2

    4pixelxDt

    DxDy dll0dmm0

    exp ixpDt ; 19

    Dp1y l;m 1

    2

    Dpy l;m 1

    2

    Dt

    Dx Hp

    12

    z l 1

    2;m

    1

    2

    Hp12

    z l 1

    2

    ;m 1

    2

    4pixelyDt

    DxDy dll0dmm0 exp ixpDt ; 20

    Ep1x l 1

    2;m

    Dp1x l 12;m

    e1 v3 E

    px l

    12;m

    2; 21

    Ep1y l;m 1

    2

    Dp1y l;m 12

    e1 v3 E

    py l;m

    12

    2; 22

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    where indexp refers to a grid point in time and in-

    dicesland m denotex and y, respectively. The ex-

    pressions dll0 and dmm0 denote the position of the

    dipole on the spatial grid. We normalize the angu-lar frequency and the wave vector as xa/2pc and

    ka/2p, respectively. Because of this normalization,

    the values ofDxand Dyare now calculated as 2pa/

    nx and 2pa/ny, where nx and ny are the number of

    the subcells in the unit cell in the x- and y-direc-

    tions, respectively. If the symmetric boundary con-

    dition is set in the y-direction, Dyis defined as pa/

    ny. The temporal step Dtis calculated as 2p/(xNt),

    where Nt is the total number of temporal steps.

    The Courant stability condition [28] is satisfied

    with NtPffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi ffiffiffiffiffiffiffiffiffi

    nx

    2

    2 ny

    2q =x a. All compo-nents of the electromagnetic field are set to be zero

    for all points of the calculation space before the

    calculation process.

    The energy density is now calculated from the

    fields known from Eqs.(18)(22). The following fi-

    nite-difference expression is obtained from Eq.(9)

    by spatial discretization.

    W 1

    8p

    Xnx;nyl;m0

    Ex l 1

    2;m

    Dx l

    1

    2;m

    Ey l;m

    1

    2

    Dy l;m

    1

    2

    H2z l 1

    2;m

    1

    2

    : 23

    The flow chart representation of the calculation

    process for a component of the wave vector ~k(so-called k-point) is shown inFig. 2. In this figure, x

    denotes the angular frequency, which varies be-

    tween x1 and x2 with the step Dx; ic denotes the

    number of the current oscillating cycle, which var-

    ies between zero and the total number of oscillating

    cyclesNc. In the first step, we set up the k-point. Allfurther calculations are carried out only for this k-

    point. In the second step, we set up the current an-

    gular frequency x for which the radiated energy

    will be calculated. In the third step, we calculate

    Dtand zerorize the counter of the oscillating cycles

    ic. The fourth step consists ofNc of dipoles oscillat-

    ing cycles. In the fifth step, we calculate the radiated

    energy for the current angular frequency x, which

    was set up in the second step. We repeat the steps

    IIIV for all angular frequencies. After this process

    has finished for allk-points (it is enough to take in-

    to account about 1015 k-points for a wave vector),

    the accumulated electromagnetic energy density

    distribution Wis a function of the angular frequency

    for the specified wave vector. The band structure is

    obtained from the resonance peaks of this electro-

    magnetic energy density distribution.

    In Fig. 3, we present the flow chart of the se-

    quence of operations inside the main body of theFDTD algorithm. Here jdenotes the number of

    the current temporal step and Nt is the total num-

    Fig. 2. Flow chart of the calculation process.

    Fig. 3. Flow chart of the FDTD calculation.

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    ber of temporal steps. We only notice that despite

    the fact that the magnetic dipole is used to excite

    the structure, the electric field is got from the iter-

    ation process and induces the nonlinearity.

    4. Results and discussion

    In this section, we consider the 1-D NLPC

    shown schematically inFig. 1. The parameters that

    we will use for all further calculations are as fol-

    lows: a = 1, b =0.2a, e1=13.0, e2= 1, (x1a/

    2pc)=0.01, (x2a/2pc)=1.0, (Dxa/2pc)=0.001 and

    Nt= 6000 to 60 (depending on the frequency).

    The behavior of the band structure at x=0 iswell-known. Therefore, the angular frequencies

    06x

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    depends on the number of oscillating cycles. For

    example, a resonance peak is observed at xa/

    2pc =0.189 for 10 cycles while it is at xa/

    2pc =0.185 for 50 cycles. The last number of theoscillating cycles is suitable to accurately calculate

    band structures.

    Fig. 5shows the normalized accumulated elec-

    tromagnetic energy density distribution calculated

    for the 1-D LPC (a) and 1-D NLPC (b) as a func-

    tion of the angular frequency for ka/2p=0.5. The

    amplitudes of the magnetic dipoles used for the cal-

    culation were hlz 1:0 and hlz 100 arb: units,respectively. There were 50 oscillating cycles. As

    can be seen from Fig. 5(a), in the linear case the

    electromagnetic energy density distribution is very

    clean. InFig. 5(b), the electromagnetic energy den-

    sity distribution is not clean because a noise is pro-

    duced by the nonlinear calculation. Therefore, each

    peak in the energy distribution cannot be taken as

    an individual mode. Tran [21] reported the same

    problem. He stated that in the nonlinear case the

    energy distribution is very similar to that of the lin-

    ear case, which indicates that the Kerr nonlinearity,

    apart from shifting its angular frequency, does not

    drastically affect the linear solution. Following this

    statement, in Fig. 5(b) only the peaks indicated

    by an arrow are meaningful for plotting bandstructures.

    4.2. One-dimensional linear photonic crystal

    In this section, we plot the band structure in the

    1-D LPC calculated with the FDTD method and

    compare it with an etalon. The etalon we used

    was the band structure calculated for the same

    1-D LPC but with the plane wave expansion meth-

    od. InFig. 6, this band structure is represented by

    open circles and the etalon band structure is repre-sented by a solid line. As can be seen, the FDTD

    method provides the accurate result for the 1-D

    LPC.

    4.3. One-dimensional nonlinear photonic crystal

    Fig. 7shows the bands of the band structures in

    the 1-D LPC (dashed line) and 1-D NLPC (solid

    line) calculated with the proposed approach. In

    the nonlinear case, the results are presented for

    the amplitudes of the magnetic dipole hlz 100and hlz 450 arb: units. The open circles corre-spond to the band structure calculated by Huttunen

    and Torma [11], who presented band structures in

    an analogical 1-D NLPC. Therefore, we use their

    results to validate our approach. They calculated

    the band structure with the nonlinear Fourier

    method and, in contrast to the geometry shown

    in Fig. 1, their 1-D NLPC was surrounded by

    the metal. Another difference is that the additional

    pump wave was used to control the switching.

    Fig. 5. The normalized accumulated electromagnetic energy

    density distribution for the 1-D LPC (a) and the 1-D NLPC (b).

    The arrows indicate the peaks, which correspond to the

    individual modes. The amplitudes of the magnetic dipole are

    hlz 1:0 andhlz 100 arb: units, respectively. The number ofoscillation cycles is 50.

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    The amplitudes of the dipoles are not numerically

    equivalent to the amplitudes of the control waves in

    Huttunens paper. Their magnitudes were fitted

    from the numerical experiment. In this experiment,

    we calculated band structures for the amplitudes of

    the magnetic dipole hlz 50 to 500 arb: units withthe step Dhlz 10 arb: units. As can be seen from

    Fig. 7, for the selected amplitudes the bands of theband structures are red-shifted. This red-shift is in

    good agreement with[11]. Consequently, we draw

    the conclusion that they have the same effect on

    the band structure. We note that because the metal

    does not surround our 1-D NLPC, we do not ob-

    serve the flat bands, which take place in the pres-

    ence of the metal.

    Here, we discuss the physical origins of the red-

    shift of the bands of the band structures. For the

    1-D NLPC, the red-shift can be explained with

    Scaloras argumentation[8]. Because the dielectric

    constant depends on the field intensity, the band

    structure changes dynamically with the incident

    field. This can be qualified by the following argu-

    ment. In the frequency domain, the band structure

    is determined by the difference between the dielec-

    tric constants of the materials, which form the

    photonic crystal. From Eq.(5), we can express this

    difference as

    De e1 v3 ~E~r; t

    2h i

    e2: 24

    The value ofDe increases as the intensity increas-

    es ifv(3)>0 and decreases ifv(3)

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    creases. For example, as can be seen from Fig.

    7(a), the intensity of the dipole just slightly shifts

    the bands of the band structure while the more

    than four-time increase in the amplitude of thedipole in fact significantly shifts them. The exist-

    ing difference between the amplitudes (100 and

    450 arb. units) is due to need to significantly

    change the value ofDe and, consequently, signif-

    icantly induce the degree of nonlinearity. It is not

    yet studied, which rule obeys the red-shift. At

    least, it is a nonlinear dependence, i.e., any uni-

    form linear increase in the amplitude with the

    step Dhlz does not mean that the bands of the

    band structure would be red-shifted on the same

    value ofxa/2pc with regard to the previous shift.

    The study of the degree of the shifts nonlinear

    dependence on the dipoles amplitude is one of

    the possible directions for future investigations.

    5. Conclusions

    We have presented a new approach for analyz-

    ing band structures in one-dimensional Kerr-non-

    linear photonic crystals. This approach was used

    to analyze the band structures in Kerr-nonlinear

    one-dimensional photonic crystals as a functionof the intensity of the oscillating dipole. We found

    that the bands of these band structures are dynam-

    ically red-shifted with regard to the bands of band

    structures in linear one-dimensional photonic crys-

    tals. We have discussed the physical origins of this

    red-shift and showed that the red-shift increases as

    the incident intensity of the oscillating dipole in-

    creases. The proposed approach was validated

    and found to be useful for understanding such

    phenomena as intensity-driven optical limiting

    and all-optical switching with Kerr-nonlinear pho-tonic crystals.

    Acknowledgements

    This work has been supported by the Spanish

    Commission of Science and Technology (CiCYT),

    project No. TIC2002-04184-C02. The authors

    thank Mr. M. Ustyantsev for his help with coding

    and useful discussions.

    Appendix A. Unit cell discretization and conver-

    gence

    Fig. A.1 shows the convergence of the FDTD

    method used to calculate band structures. The ab-

    scissa represents the number of mesh points N in

    the unit cell in the x-direction. The ordinate corre-sponds to the angular frequency. The curves

    marked by s, e and. correspond to the first, sec-

    ond and third bands of the band structure of the 1-

    D NLPC. The values of the angular frequency are

    taken forka/2p=0.5. The parameters are the same

    as inFig. 7(a).

    As can be seen, the method is convergent for

    NP 40. Any decrease in this number will give in-

    accurate results. Due to the symmetry in the

    y-direction, the number of parts into which the

    unit cell is divided in this direction can be selectedas N/2.

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