Non-split Perfectly Matched Layer Boundary Conditions for Numerical Solution of 2D Maxwell Equation

International Journal of Electromagnetics ( IJEL ),Vol 3, No 1
1
NON-SPLIT PERFECTLY MATCHED LAYER
BOUNDARY CONDITIONS FOR NUMERICAL
SOLUTION OF 2D MAXWELL EQUATIONS
Arnold Abramov, Yutao Yue, and Mingming Wang
Institute of Deep Perception Technology, Wuxi, China
ABSTRACT
This paper developed a non - split perfectly matched layer (PML) boundary condition (BC) for Finite
Difference Time Domain (FDTD) simulation of electromagnetic wave propagation in 2D structure. The
point source for electric field has been exploited for propagation of electromagnetic field through 2D
structures to validate developed approach. The identity of resulted field distribution to that obtained for
split PML BC have been demonstrated.
KEYWORDS
Electromagnetic wave, non-split, PML, FDTD，cylinder
1. INTRODUCTION
Electromagnetic field distribution of any system can be known by solving Maxwell’s equations.
There are many numerical techniques allowing to find appropriate solutions. In this paper we will
deal with the finite difference time domain method introduced [1] in 1966 by Kane S. Yee. It has
a number of advantages, such as divergence-free (in contrast to the main methods that require a
condition div B = 0), the grid is very simple and the data is easily for storage). The FDTD
method solves the time-dependent Maxwell’s equations in a spatially finite computation domain.
The electric and magnetic fields are then represented by their discrete values on the each node of
spatial grid, and are extended in time. Without any boundary conditions, Yee’s algorithm
assumes that the domain is surrounded by a perfect electric conductor (PEC) layer. The presence
of the boundaries in the model can affect significantly the simulation results, due to spurious
reflection from the boundaries of electromagnetic waves incident on them. To obtain physically
reasonable solutions, the calculation area should be interrupted at the edges via special boundary
conditions that extend the definite area to infinity, representing it as unbounded volume. Such a
boundary condition could be obtained by a reflectionless absorbing layer that surrounds the
calculation area and absorbs all incident waves, regardless of the angle of incidence and
wavelength. Thus, in the implementation of FDTD, we set the layers of a hypothetical material
along the boundaries of computational area specially designed in such a way to completely
absorb the radiation incident on it. Such a layers have been called perfectly matching layer
(PML) and were first introduced by J. P. Berenger [2]. The PML conditions have a low reflection
coefficient, as well as practical independence from the angle of incidence of the wave.
Unfortunately, there is still a reflection: from the first layer of PML; between layers of PML,
because to save computing resources, losses increase from layer to layer; after the last layer of
PML, since there is a PEC border. Reflection from the first PML layer and between the PML
layers is caused by finite-difference discretization errors, and, first of all, by the fact that the
vectors E and H do not coincide in space. To reduce reflection within the PML, it is necessary to

2
strict the growth rate of losses to some reasonable limit. Reflection from the PEC boundary after
the last PML layer occurs usually for already much attenuated wave. The reflected wave
continues to weaken on the way back. But if there are few layers (usually less than 5), then the
reflected wave can be significant. To reduce the reflection from the first layer, the value of
conductivity σ1 is specially chosen to be small. To reduce the reflection between the layers, the
loss profile is selected in such a way to have a limited growth rate of loss. In order to reduce the
effect of waves reflected from the PEC boundary, the number of PML layers should be increased.
Berenger’s PML is typically referred to as a split field PML because the field components in
PML regions are split into two unphysical field components to obtain additional degrees of
freedom. This modification allows the creation of a reflectionless interface between a dielectric
medium and the PML layer. But extra splitting variables that are introduced in Berenger’s PML
BC increase computational memory time burden in implementation. In addition, it leads also to
the difficulties of numerical implementation. In order to avoid those issues scholars have done a
lot of researches on developing of versions of PML absorbing boundary condition for non
splitting fields: unsplit-field and material independent PML formulations are obtained in [3]
incorporating the auxiliary differential equation method into the PML formulations. The non split
PML BC has been used in seismic wave modeling introducing auxiliary variables [4]. A use of
non-split PML boundary condition for second -order elastic wave FETD forward modeling with
high calculation accuracy and great improvement in calculation efficiency have been
demonstrated in [5]. Nonsplit PML BC formulation developed previously [3] for one dimensional
case adopted in the present paper for 2D Maxwell’s equations. Another feature of the presented
formulations (except nonsplit PML BC) is that the use of the electric displacement field instead
of the electric field. This allows the PML to be independent of the material of the FDTD
computational domain.
2. BASIC EQUATIONS
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2.1. General Format, Page Layout and Margins
The starting point for the construction of an FDTD algorithm is Maxwell’s time-domain
equations.
E
t
H
E
t




















0
0
1
D
H
D



(1)
where E

is the electric field strength vector in volts per meter, D

is the electric displacement
vector in coulombs per square meter, H

is the magnetic field strength vector, 0 and 0 –
dielectric and magnetic constant respectively,  is the permittivity of the material. Using new
expressions for the fields

3
D
1
D
0
0
0
0









 E
E
(2)
leads to
E
t
H
E
c
t




















c
D
H
D

(3)
where we used the speed of light in free space.
For specifics, we further consider the case of TE polarizations for which electric field (along z
axis) is orthogonal to the plane (x,y) of electromagnetic field propagation. Thus the field has next
nonzero components: Ez, Hx, Hy.
x
E
t
H
y
E
t
H
E
D
y
H
x
H
c
t
D
z
y
z
x
z
x
y




























c
c
z
z

(4)
In order to implement the FDTD method and calculate the field at all points of the computational
domain we have to replace the derivatives by finite-difference approximations and set the field
values at the boundaries of the computational domain. But before we will modify these equations
assuming the presence of an additional region around the computational domain where the field
will be absorbed, excluding its reflection to the back into computational area. For this purpose,
we introduce fictitious values that will be selected in such a way as not to affect the field inside
the computational domain, and to ensure its absorption outside it. We first write down the system
(4) for the case of continuous, time-harmonic fields (i.e. time dependence are described by factor
exp(it)):
x
E
H
i
y
E
H
i
E
y
H
x
H
c
i
z
y
z
z
x
y






















c
c
)
(
)
(
D
D
x
z
z






(5)
0
0
/
1
c 



4
3. NON-SPLIT PML BOUNDARY CONDITIONS
In order to implement PML we input fictitious constants x
*
, y
*
, x
*
, y
*
:
x
E
H
i
y
E
H
i
E
y
H
x
H
c
i
z
y
x
y
z
y
x
z
x
y
y
x






















c
c
D
D
*
*
*
*
x
z
*
*
z










(6)
These fictitious parameters should be chosen so both that there are no changes in the medium
parameters within the main computational domain and ensure the absorption of the field in the
PML domain. By preserving the electric displacement field Dz in the equations (6), we obtain
that all dimensional parameters, as well as all the detailed information about the structure of the
computational domain, are enclosed on the input of the dielectric constant. It also allows the PML
to be independent of the material in the FDTD computing area. In [6] it was shown that in order
to ensure absorption in the PML layers, the expressions for the *
and *
should be as follows
0
m
*
0
m
*








i
i
Hm
m
Dm
m




(7)
m=x,y, with following selection of parameters
0
0
0
m
m 1












Hm
Dm
(8)
Theoretically, if the condition σi / ε0 = σi
*
/ μ0 is satisfied, then the average velocity of the
electromagnetic waves does not change at the interface and the reflection is equal to zero. At the
same time, because σi, σi
*
 0 the absorption of electromagnetic waves takes place within the
PML. PML parameters used in this work will be described below.
Substituting (7-8) into (6) we get:
x
E
H
i
y
i
x
i
y
E
H
i
y
i
x
i
E
y
H
x
H
c
i
y
i
x
i
z
y
z
z
x
y














































































c
)
(
1
)
(
1
c
)
(
1
)
(
1
D
D
)
(
1
)
(
1
1
0
0
x
0
1
0
z
z
0
0
















(9)

5
We can rewrite these equations as follows









































































x
E
i
y
x
E
H
x
i
y
E
i
x
y
E
H
y
i
E
D
y
H
x
H
c
D
y
x
i
i
y
x
i
z
z
z
z
z
x
y
0
y
0
0
x
0
z
z
2
0
0
)
(
c
)
(
)
(
c
)
(
)
(
)
(
1
)
(
)
(



















(10)
To go back to time dependence, we will perform a formal replacement i → d/dt. Then instead
of (10) we have:





























































n
z
z
n
z
z
z
x
y
n
t
x
E
y
x
E
H
x
t
H
t
y
E
x
y
E
H
y
t
H
E
D
y
H
x
H
c
t
D
y
x
D
y
x
t
D
0
y
0
y
0
x
0
x
z
z
2
0
z
0
z
)
(
c
)
(
)
(
c
)
(
)
(
)
(
)
(
)
(















(11)
Now we replace the derivatives with their finite-difference approximations and we finally get the
PML-modified FDTD equations:
 
)
2
/
1
,
(
)
2
/
1
,
(
)
,
2
/
1
(
)
,
2
/
1
(
)
,
(
)
(
)
(
)
(
)
,
(
2
)
(
)
(
1
)
,
(
)
(
)
(
)
(
2
)
(
)
(
1
n
x
n
x
n
y
n
y
1/2
n
z
2
2
0
1/2
-
n
z
0
1/2
n
z
2
2
0
0





































 

j
i
H
j
i
H
j
i
H
j
i
H
x
t
c
j
i
D
t
y
x
j
i
D
t
y
x
j
i
D
t
y
x
t
y
x
n
























































n
t
y
E
x
x
j
i
E
j
i
E
t
c
j
i
H
t
y
j
i
H
t
y
z
0
1/2
n
z
1/2
n
z
n
x
0
1
n
x
0
)
(
)
,
(
)
1
,
(
)
2
/
1
,
(
2
)
(
1
)
2
/
1
,
(
2
)
(
1


















































n
t
x
E
y
x
j
i
E
j
i
E
t
c
j
i
H
t
x
j
i
H
t
x
z
0
1/2
n
z
1/2
n
z
n
y
0
1
n
y
0
)
(
)
,
(
)
,
1
(
)
,
2
/
1
(
2
)
(
1
)
,
2
/
1
(
2
)
(
1






The selection of the fictitious parameters can be determined by the following expressions
introduced in Ref. [6]:

6
y
x
m
p
t
m
m ,
,
2
)
(
0





with pm=0.333(i/NPML)3
, i=1.. NPML, NPML – number of PML.
Finally the FDTD equations are as follow:
 
)
2
/
1
,
(
)
2
/
1
,
(
)
,
2
/
1
(
)
,
2
/
1
(
4
1
1
1
4
)
,
(
4
1
1
)
(
1
)
,
(
n
x
n
x
n
y
n
y
1
1/2
-
n
z
1/2
n
z























j
i
H
j
i
H
j
i
H
j
i
H
x
t
c
p
p
p
p
I
p
p
j
i
D
p
p
p
p
p
p
j
i
D
y
x
y
x
y
x
y
x
y
x
y
x
2
/
1
2
/
1
1
2
/
1
1 I
I 



 n
z
n
n
D
 
2
1/2
n
z
1/2
n
z
n
x
1
n
x 2
)
,
(
)
1
,
(
)
1
(
)
2
/
1
,
(
1
1
)
2
/
1
,
( I
p
j
i
E
j
i
E
x
p
t
c
j
i
H
p
p
j
i
H x
y
y
y











 


 
)
,
(
)
1
,
( 1/2
-
n
z
1/2
-
n
z
2
/
1
2
2
/
1
2 j
i
E
j
i
E
I
I n
n



 

 
3
1/2
n
z
1/2
n
z
n
y
1
n
y 2
)
,
(
)
,
1
(
)
1
(
)
,
2
/
1
(
1
1
)
,
2
/
1
( I
p
j
i
E
j
i
E
x
p
t
c
j
i
H
p
p
j
i
H y
x
x
x











 


 
)
,
(
)
,
1
( 1/2
-
n
z
1/2
-
n
z
2
/
1
3
2
/
1
3 j
i
E
j
i
E
I
I n
n



 

4. RESULTS
The model we used consists of rectangular area of size 200x200 unit cells. The size of the unit
cell x was chosen in such a way that one wavelength  is equal to integer number N of unit
cells: =Nx. Point source generating electric field was defined offset 30 cells from the left edge
of the problem space along x axis. Number of PML layers NPML =10. As mentioned above a
propagation of TE-polarized wave in 2D plane was simulating via solution of Maxwell’s
equations (1) by FDTD method. The direction of wave propagation is along the x-axis (Fig.1).
Fig.1 Computational domain of the two dimensional problem spaces:
1 – PML; 2 – area of real space parameters; 3 – infinite cylinder (top view)

7
The origin of the coordinates corresponds to the centre of the computational domain. Three cases
were considered: 2D homogeneous space (Fig.1a) and two kinds of structures placed into centre
of 2D computational area: single cylinder (Fig.1b); group of 9 cylinders (Fig.1 c). We choose
cylinder as main figure in our simulation due to since it is the study of scattering on the cylinder
that led to the discovery of photonic nanojet [7] and a further increase in researchers' attention to
scattering effects on cylindrical objects [8-13].
Refraction index of each cylinder are nA=1.59. All results below are presented after 1200 time
step simulations. Each time step was equal t=Sc*x/c, where Sc =0.5 is Courant stability factor.
Polynomial [12] and power dependence [6] models for medium parameters have been choused
for split and non-split PML BC respectively. Effectiveness of those models demonstrates Fig.2:
projections of the calculated field distribution E(x,y) on the plane of two variables (E,x) and (E,y)
have been drawn. Field absorption occurs within PML layers (x,y=0-10 and x,y=190-200). A
maximal value on the dependencies corresponds to position of the point source, where a field
magnitude is kept constant
The difference between two approaches (non-split and split PML BC) was estimated by
expression
R=(Ens-Es)/Es
where Ens and Es are absolute value of calculated electric field for the cases of non-split and split
BC respectively. The Fig.3 demonstrates change of R along and across field propagation for the
cases of (0, 1) and 9 cylinders inside a computational area. As it is seen the relative difference is
less than 4%. The cases of 0 (empty computational domain, i.e. free propagation of
electromagnetic wave) and 1 cylinder are represented by 1 line because the difference in R for
Fig.2 Projections of the field distribution E(x,y) inside 2D area (Fig.1a) on the plane of two variables (E,x)
(a) and (E,y) (b).
solid line – split PML BC; dashed line – non-split PML BC
them occurred less than 1%. A point where R=0 corresponds to position of point source. In fact,
all the lines on Fig.3 are oscillating and short vertical lines shows an amplitude of those

8
Fig.3 Relative difference between simulation results for nonsplit and split PML BC along x (dashed line)
and y (solid line) axis’s for one (a) and nine (b) cylinders in computational area.
oscillations while main lines itself represent average positions for R dependencies. More
complex structure clearly leads to a greater error and oscillations. However, overall these changes
are minor, within 4 %, those demonstrating efficiency of approximation efficiency and
applicability of non-split BC for FDTD method.
5. CONCLUSIONS
The FDTD method to solve 2D Maxwell’s equations has been described. Non-split PML BC has
been used. This approach allows to avoid electromagnetic field splitting which does not follow
from Maxwell's equations, and thus it can lead to the save of the computational time. As result of
used approach, all dimensional parameters, as well as all the detailed information about the
structure of the computational domain, are enclosed on the input of the dielectric constant. It is
because of using the electric displacement field instead of the electric field. This allows also the
PML to be independent of the material of the FDTD computational domain. The developed
calculation scheme verified by comparison of final results to those obtained for ordinary (split)
version of BC. Calculated field distributions for different parameters of computational domain
examined for both cases and are in the good agreement.
REFERENCES
[1] Yee, K. S., (1966) “Numerical solution of initial boundary value problems involving Maxwell’s
equations in isotropic media”, IEEE Trans. Antenn. Propag., Vol. 17, pp585 – 589.
[2] Berenger, Jean-Pierre, (1994) “A Perfectly Matched Layer for the Absorption of Electromagnetic
Waves”, Journal of Computational Physics, Vol. 114, pp185-200.
[3] Ramadan, O., (2003) “Auxiliary Differential Equation Formulation: An Efficient Implementation of
the Perfectly Matched Layer”, IEEE Microwave and Wireless Components Lett., Vol. 13, No. 2,
pp69-71.
[4] Zhang, C., Sun, B., Yang, H., Ma, J., (2016) “A non-split perfectly matched layer absorbing boundary
condition for the second-order wave equation modelling”, Journal of Seismic Exploration, Vol.25,
pp1-9.
[5] Basu, U., Chopra, A.K., (2004) “Perfectly Matched Layers for Transient Elastodynamics of
Unbounded Domains”, International Journal for Numerical Methods in Engineering, Vol.59, pp1039
-1074.
[6] Sullivan, Dennis, “Electromagnetic simulation using the FDTD method”, New York IEEE Press,
2000.

9
[7] Chen, Z.A., Taflove, A., Backman, V., (2004) “Photonic Nanojet Enhancement of Backscattering of
Light by Nanoparticles: A Potential Novel Visible-Light Ultramicroscopy Technique”, Opt. Express,
Vol.12, pp1214 -1220.
[8] Zhishen, Z., Yin, H., Yuanhua, F., Yuecheng, S., Zhaohui, L., (2019) “An ultranarrow photonic
nanojet formed by an engineered two-layer microcylinder of high refractive-index materials”, Opt.
Express,Vol. 27, No. 6, pp9178-9188.
[9] Liu, C.Y., (2013) “Photonic nanojet enhancement of dielectric microcylinders with metallic coating”,
J Optoelectron Adv Mater., Vol.15, pp150–154.
[10] Schaefer, J., Lee, S.-C., Kienle, A., (2012) “Calculation of the near fields for the scattering of
electromagnetic waves by multiple infinite cylinders at perpendicular incidence”, J. Quant.
Spectrosc. Radiat. Transf., Vol.113, pp2113–2123.
[11] Abramov, A., Ji, C., Liu, R., Kostikov, A., (2016) “Enhancement of the Electromagnetic Waves
Intensity by Scattering on Multiple Infinite Cylinders”, Journal of Photonic Materials and
Technology, Vol. 2, No. 1, pp1-5.
[12] Abramov A., Kostikov A., (2017) “Formation of whispering gallery modes by scattering of an
electromagnetic plane wave by two cylinders”, Phys. Lett. A, Vol. 381, No 12, pp1107-1110.
[13] Abramov, A., Kostikov, A., Liu, R., Ji, C., Li, X., Zhou, J. and Chen, Z., (2017) “Formation of the
high electromagnetic waves intensity areas by multiple cylinders scattering: whispering gallery
modes and photonic nanojet”, Journal of Electromagn. Waves and Applications, Vol.31, No8, pp820-
827.
[14] Taflove A. and Hagness S. Computational Electrodynamics: The Finite-Difference Time-Domain
Method, 3 ed. Artech House, Boston, MA, 2005.
AUTHORS
Arnold Abramov is a Deputy Director of Artificial Intelligence Innovation Centre,
Institute of Deep Perception Tecnnology, China. He received the Ph.D. in Dоnetsk
Institute for Physics and Engineering of the National Academy of Sciences, Ukraine,
(2003). His current research interests include development of prototype radar devices,
electromagnetics and photonics.
Yutao Yue received his B.S. degree of applied physics from University of Science and
Technology of China in 2004, Ph.D. degree of computational physics from Purdue
University in 2010. He then served as senior scientist of Kuang-Chi Institute, team
leader of Guangdong “Zhujiang Plan” Introduced Innovation Scientific Research Team,
and associate professor of Southern University of Science and Technology of China,
etc. He has authored 17 papers and over 300 patents, and advised 13 postdoc
researchers. He also serves as the “Industrial Professor” of Jiangsu Province, advisory
panel member of SAIIA, technical review expert of Guangdong, Jiangsu, Shenzhen,
and Wuxi. He is now the founder and director of Institute of Deep Perception Technology (IDPT), Jiangsu
Industrial Technology Research Institute (JITRI). His research interests include modeling and optimization,
computational electromagnetics, radar perception, artificial intelligence theories.
Mingming Wang was born in Liaoning province, China in 1980. He received the M.S.
degree in microelectronics and solid state electronics from Shandong University in
2006, and received the Ph.D. degree in integrated circuit design from the Institute of
Microelectronics of the Chinese Academy of Sciences, Beijing, in 2009. His research
interests include microwave/millimeter-wave IC design, circuits and systems.

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