TCADとSPICEを駆使した太陽電池モデリング
このウェビナーでは、太陽電池とソーラーパネルのTCADからSPICEに至るシミュレーション・フローを概観し、またその関連の手法について紹介します。
この作成者はまだ経歴を書いていません。
でも、Ingrid Schwarz さんは、なんと 1528 件ものエントリーに貢献されたことを誇りに思いましょう。
このウェビナーでは、太陽電池とソーラーパネルのTCADからSPICEに至るシミュレーション・フローを概観し、またその関連の手法について紹介します。
The solution of linear systems lies in the core of any TCAD simulation. On any nonlinear step of the computation a linear system needs to be solved. The size and condition number of the matrices in these linear systems vary significantly depending on the specific type of TCAD simulation. So in order to achieve fast convergence it is required that the linear solver has good performance, good accuracy, can handle cases of ill-conditioned matrices, and it would be nice if the solver works well on any size linear system.
The NAND Flash memory cell has been refined to reduce the bit cost, but the limit of its miniaturization has been reached due to the high electric field problem and the difficulty of lithography. On that account, three-dimensional stack cell structures have been adopted to achieve mass storage devices [1-3]. It has already been reported that the fabrication of 256Gbit NAND Flash memory with 48 stacked layers started on August in 2015 [4, 5]. For the fabrication of the stack structures, it is necessary to realize etching of deep holes. For examples, if using 30nm design rules and one layer thickness is 40nm, its depth becomes 1.92um. If the holes diameter is 100 nm, its aspect ratio becomes 19.2. Then, in the next generation, the 512 Gbit flash memory cell will need the deep hole with the aspect ratio of 38.4 for 3.84um-depth. For investigating more suitable process conditions or optimum etched topography, accurate three-dimensional etching simulation is required, but it takes a very long time to simulate this deep hole etching accurately if using usual simulation methods like the Monte-Carlo method, because the aspect ratio of this deep hole is very large and therefore, the flux calculation effort of enhancing ions and neutral radical species is enourmous for a reactive enhanced ion etching (RIE) model.
Organic light emitting diode (OLED) has been getting much attention over the past decades in the field of displays and lighting applications for its excellent efficiency, color quality and color tunability. Optical modeling of OLEDs is one important development issue to create high performance devices [1]. In this article, several optical simulations of OLEDs are presented by using recently implemented features in Atlas. First, we present the multiple dipole sources emission from a stacked layers structure, including the interference effect between the emitted light and reflected light using Transfer Matrix Method (TMM) with a Green’s Function Approach [2-4]. Then, we present the 2D FDTD analysis on the device with the grating structure using the finite difference time domain (FDTD) [5].
A power IGBT (Insulated Gate Bipolar Transistor) is conventionally made up of a repetitive array of homogenous IGBT cells. Such a homogenous configuration renders a uniform current flow across the active surface area of the IGBT chip when the IGBT is turned on. Under a short-circuit condition, however, the IGBT being turned on is exposed to a very high collector-to-emitter voltage. In this condition, the IGBT conducts a very high collector current, leading to correspondingly high power dissipation in the form of heat flowing uniformly across the chip. If the heating of the chip exceeds a critical level during a short-circuit operation, the device may fail or even get destroyed by local overheating in conjunction with the establishment of current filaments in a localized area, or the hot spots, within the device.
Deckbuild supports variable substitution for both numerical and string variables using the SET statement and the $ symbol, thus allowing users to parameterize their input decks. The SET statement is used to generate a new variable and assign an initial value to it, e.g.,
このウェビナーは、パワー・インテグリティおよび信頼性解析ツールであるInVarの概要を紹介します。
In this article we will emphasize the new features and improvements of the DeckBuild 2 deck editing environment. We will start by illustrating the examples section, followed by the basic execution modes of DeckBuild and a description of how an Athena deck can be automatically converted to be run in Victory Process. The article will also demonstrate how the visualization tools TonyPlot and TonyPlot3D are integrated and available directly from the various parts of DeckBuild.
As the design technology for power devices, such as MOSFET, GTO, and IGBT has matured, the importance of large domain 3D TCAD simulation has increased rapidly. Distributed computing is one of the attractive solutions for such simulations, because the system’s performance and capability is not limited by the number of CPUs or the total amount of memory on a specific computer. This advantage of distributed computing is expected to be increasingly advantageous, as the size and mesh point count for these devices becomes ever larger.
Liquid Crystals (LCs) are state of matter intermediate between that of a crystalline and a liquid. The optical, mechanical, electrical and magnetic properties of LC medium are defined by the orientation order of the constituent anisotropic molecules. Due to the anisotropy of the electrical properties, the orientation of the LC molecules is effectively controlled by electric fields. As a result, LCs exhibit very specific electrooptical phenomena because of their large birefringence. All of these are important to the functional devices based on LCs, for example, flat panel displays that have been commercialized for decades.
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