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On the other hand, the optical wave sources are critically important for solving any optics and photonics problems. In fact, the accuracy of MSE approach is higher than the other approaches in view of the FDTD implementation of Drude model. Such as for modelling a dispersive medium described by the Drude model, and the corresponding constitutive relation is rewritten as Thus the obtained simulation results can be shown with graphical visualization by MATLAB in the form of animated pictures allow students to more deeply understand the dynamic process of light propagation in classical optics and photonics structures. Since FDTD method calculates the electric and magnetic fields everywhere in the computational domain as they evolve in time, it lends itself to providing animated displays of the electromagnetic field movement through the model. Nevertheless, a wide variety of dispersive dielectric and magnetic materials can be naturally and easily modeled. Thus it can model any type of complicated structures. The FDTD technique allows the user to specify the material at all points within the computational domain.
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MATLAB FDTD HOW TO
It is intuitive, so users can easily understand how to use it and know what to expect from a given model. FDTD is a versatile modeling technique used to solve Maxwell’s equations. In the past several decades, the finite-difference time-domain (FDTD) method has become one of the most powerful numerical techniques in solving the Maxwell’s curl equations and has been widely applied to solve the complex optical and photonic problems. Two examples with FDTD simulations are presented as two typical teaching cases in optics courses with MATALB graphical visualization in the form of animated pictures that allow students to more deeply understand the dynamic process of light propagation in classical optical structures. In this paper, we will analyze the classification and characteristics of the simulation function of Finite-difference Time-Domain (FDTD) method, a popular method of computational photonics, and explore its programming tactics in order to improve the visualization and attraction of teaching and learning in the relevant courses.
MATLAB FDTD SOFTWARE
The use of professional mathematical software can be combined with theoretical teaching and visual teaching, but also can design a large number of simulation teaching experiments, so as to deepen students’ understanding of optical theory and space-time imagination of electromagnetic fields. At present, computer-aided teaching tools, represented by professional math software such as MATLAB, Mathematica and Maple, have played an important role in many science and engineering teaching. In order to solve the existing teaching problems in these courses and improve the teaching quality and teaching effect, we should try to explore the introduction of the methods of computational photonics as the new teaching methods, and actively carry out visual teaching research in such courses. At the same time, the current optics and photonics courses place two much emphasis on the theory teaching and don’t have corresponding actual experiments due to the lack of expensive equipment facility or place, resulting in students unable to master and accurately understand the optical waves and fields of the actual spatial distribution and dynamic space process. If we follow the traditional classroom static teaching methods, students cannot form a dynamic physical picture and this not only makes the classroom teaching effect poor, time-consuming and laborious, but also easily cause students to lose their interest in the process of learning. However, due to the abstract concept of electromagnetic and optical theories in such courses, the spatial and temporal distributions are complex, and students need strong abstract thinking ability and spatial imagination ability. It is an important part of the knowledge structure system of undergraduates majored in information science and engineering. The courses about optics and photonics are a kind of professional foundation compulsory courses for information science and engineering undergraduates.