Description: 用来模拟粒子运动的。此元胞自动机需要
一种不同类型的元胞的邻居。此元胞的邻居时刻变化，因此某一个方向运动趋势，
将继续在同一个方向。换言之，此规则保存势头，这是基础的动力仿真。这种邻
居通常被称为 margolis邻居并且这种邻居通常由重叠的 2x2 块的元胞构成。在下
面的表格中，偶数步长时左上方 4 元胞为邻居关系，奇数步长时右下的 4 元胞为
邻居关系。某一特定元胞在每一个时间步长都有3 个邻居，但是具体的元胞构成
了邻居的旋转和反复。-Used to simulate the particle movement. The cellular automaton requires a different type of cell neighbors. This moment of change in a neighbor cell, so a certain direction the trend will continue in the same direction. In other words, this rule saved momentum, which is the foundation of the power simulation. This neighborhood is often called a neighbor and this neighbor margolis usually overlapping 2x2 blocks of cellular composition. In the following table, even when the step left four yuan for the neighbor cell, the odd step 4 when the lower right cell for the neighborhood. A particular cell in each time step has three neighbors, but the specific cellular composition of the neighbor s rotation and repeated. Platform: |
Size: 1024 |
Author:james |
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Description: 一堆沙子的横截面，可以使用 Margolus 型邻居仿真，但运动规则不同。
规则：
元胞有 2 个状态。状态= 0 是空的，状态= 1 代表沙子。
在任何时间步长，一个粒子，可以在2x2 块中向着底部运动。可能运动如下
所示。墙壁和底部将阻止粒子继续运动。
为了让该运动略有随机性，我亦补充说一项规则，有时处于下落状态的两个元胞还旋转，直到所有的动作都完成。-Cross-section of a pile of sand, you can type using the Margolus neighborhood simulation, but the movement rules are different. Rules: There are two cellular states. State = 0 is empty, state = 1 for sand. At any time step, a particle can be in the 2x2 block toward the bottom of the movement. May exercise the following. Walls and bottom to prevent the particles continue to campaign. To make the campaign a little random, I also added a rule, sometimes in the falling state of the two cell also rotate until all actions are completed. Platform: |
Size: 1024 |
Author:james |
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Description: 同于PIC（particle-in-cell）仿真程序，是等离子体仿真计算程序。-The XOOPIC program is being developed under the auspices of the AFOSR. The physics is being developed here at UC Berkeley, while a GUI for the PC version of the program (OOPIC) is being developed at George Mason University. Platform: |
Size: 1676288 |
Author:zhangfei |
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Description: 2011年IEEE T.的A New Framework for Particle Detection in Low-SNR Fluorescence Live-Cell Images and Its Application for Improved Particle Tracking，请大家分享-2011 IEEE T. A New Framework for Particle Detection in Low-SNR Fluorescence Live-Cell Images and Its Application for Improved Particle Tracking, please share Platform: |
Size: 1050624 |
Author:单昊 |
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Description: 基于MATLAB利用Particle-in-cell模型,对梯形管内壁等离子体离子注入过程,进行了二维数值模拟.计算结果表明在中心电极附近出现了“阳极鞘层”,该鞘层内部不存在离子,而且在鞘层边缘离子密度最高.在上下管壁上的离子注入剂量呈现“m”形分布.通过对注入过程中等离子体密度分布和不同时间段管壁不同位置离子注入剂量的跟踪,发现“阳极鞘层”扩展行为是导致“m”形分布的原因.由于梯形管形状的不对称性,“阳极鞘层”的边缘向梯形长底方向扩展较快.在注入初始时刻离子注入的能量很低,随着时间延长离子能量逐渐升高,这是由离子初始位置决定的.可见梯形管自身形状决定了鞘层形状和最终的离子注入能量和剂量分布.-Based on MATLAB use Particle-in-cell model, the trapezoidal pipe wall plasma ion implantation process, the numerical simulation of two-dimensional calculation results show that in the vicinity of the center electrode to a "anode sheath," which does not exist inside the plasma sheath, and the highest in the sheath edge ion density ion implantation dose showing the upper and lower walls of the "m"-shaped distribution through the process of injecting the plasma density distribution and the wall at different locations in different time periods ion implantation dose tracking, found that "anode sheath "extension behavior is leading to" m "-shaped distribution of the reasons due to the asymmetry of the trapezoidal shape of the tube," Edge anode sheath "extension to the end of a long trapezoid direction quickly in the initial moment of implantation energy ion implantation is low ion energy with time gradually increased, which is determined by the initial position of the ion. visible trapezoida Platform: |
Size: 777216 |
Author:王斌 |
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Description: Particle in cell 方法的matlab代码，非常基础，算例是空间存在一带电平板情况下，等离子体的电场分布和离子密度分布。作为入门非常好。-Particle in cell method matlab code, very basic, there is a numerical example is charged under the flat space case, the electric field distribution of plasma and ion density distribution. As entry is very good. Platform: |
Size: 6144 |
Author:zhangzeming |
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Description: 基于Particle in cell方法的等离子体仿真计算程序-。XOOPIC program is being developed under the auspices of the AFOSR. The physics is being developed here at UC Berkeley, while a GUI for the PC version of the program (OOPIC) is being developed at George Mason University. Platform: |
Size: 1813504 |
Author:曾立 |
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Description: Particle In Cell Method_Abrief description of the PIC Method 是一本介绍pic模拟方法的书籍-Particle In Cell Method A brief description of the PIC Method is a book describes the simulation methods pic Platform: |
Size: 3899392 |
Author:king |
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Description: Simple Electrostatic Particle In Cell (PIC) code in MATLAB
Flow of solar wind around a charged plate
For more, visit http://www.particleincell.com/2010/es-pic-method/
and http://www.particleincell.com/2011/particle-in-cell-example/- Simple Electrostatic Particle In Cell (PIC) code in MATLAB
Flow of solar wind around a charged plate
For more, visit http://www.particleincell.com/2010/es-pic-method/
and http://www.particleincell.com/2011/particle-in-cell-example/ Platform: |
Size: 5120 |
Author:和 |
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Description: 有限元PIC模拟源程序。，大家可以参考参考(#Finite Element Particle In Cell (FEM-PIC)
Example of a Finite Element PIC code simulating flow of ions past a sphere on an unstructured mesh.) Platform: |
Size: 295936 |
Author:Godless
|
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Description: 磁层波粒相互作用模拟，将离子视为动力学粒子，将电子作为无质量流体。(the simulation of wave-particles interaction in magnetosphere,The ions are regarded as kinetic particles, and electrons are used as massless fluids.) Platform: |
Size: 1751040 |
Author:康师傅212 |
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Description: 本文分析微网中微电源包括光伏发电、风力发电、微燃机、柴油发电机和燃料电池的电气特性，构建微电网优化运行的模型，以微网的经济成本和环境成本最小为目标函数，充分考虑了电压越限、功率平衡、微电源出力限制等约束条件，应用鸡群算法进行求解。 解决了粒子群算法易早熟、易陷入局部最优解的问题。并通过典型的微网系统进行仿真分析，仿真结果验证了该算法的有效性。(In this paper, the electrical characteristics of micro-power sources in micro-grid, including photovoltaic power generation, wind power generation, micro-gas engine, diesel generator and fuel cell, are analyzed. The optimal operation model of micro-grid is constructed. The objective function is to minimize the economic cost and environmental cost of micro-grid. The constraints of voltage overshoot, power balance and output limitation of micro-power are fully considered. The chicken swarm algorithm is applied to solve the problem. Particle swarm optimization (PSO) is easy to premature and fall into local optimal solution. The simulation results of a typical microgrid system show the effectiveness of the proposed algorithm.) Platform: |
Size: 262144 |
Author:小蹦豆 |
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