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相关概念视频

Relative Motion Analysis - Acceleration01:10

Relative Motion Analysis - Acceleration

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A slider-crank mechanism converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider. The movement of the slider-crank is an example of general plane motion as the fluctuating angle between the crank and the connecting rod. Consider a segment AB where point A is at the end of the slider and point B is on the diametrically opposite end to point A, on a crack. The variance in...
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Accelerating Fluids01:17

Accelerating Fluids

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When a fluid is in constant acceleration, the pressure and buoyant force equations are modified. Suppose a beaker is placed in an elevator accelerating upward with a constant acceleration, a. In the beaker, assume there is a thin cylinder of height h with an infinitesimal cross-sectional area, ΔS.
The motion of the liquid within this infinitesimal cylinder is considered to obtain the pressure difference. Three vertical forces act on this liquid:
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Relative Motion Analysis using Rotating Axes - Acceleration01:22

Relative Motion Analysis using Rotating Axes - Acceleration

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Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame. The absolute velocity of point B is determined by adding the absolute velocity of point A, the relative velocity of point B in the rotating frame, and the effects caused by the angular velocity within the rotating frame.
Time differentiation is...
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Velocity and Position by Graphical Method01:34

Velocity and Position by Graphical Method

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Velocity and position can be calculated from the known function of acceleration as a function of time. The total area under the acceleration-time graph and the velocity-time graph gives the change in velocity and position, respectively. In the case of an airplane, its acceleration is tracked using the inertial navigation system. The pilot provides the input of the airplane's initial position and velocity before takeoff. The inertial navigation system then uses the acceleration data to...
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Kinematic Equations - III01:18

Kinematic Equations - III

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The first two kinematic equations have time as a variable, but the third kinematic equation is independent of time. This equation expresses final velocity as a function of the acceleration and distance over which it acts. The fourth kinematic equation does not have an acceleration term and provides the final position of the object at time t in terms of the initial and final velocities. This equation is useful when the value of the constant acceleration is unknown.
Using the kinematic equations,...
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Kinematic Equations - I01:26

Kinematic Equations - I

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When an object moves with constant acceleration, the velocity of the object changes at a constant rate throughout the motion. The kinematic equations of motions are derived for such cases where the acceleration of the object is constant. The first kinematic equation gives an insight into the relationship between velocity, acceleration, and time. We can see, for example:
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Controlled Synthesis and Fluorescence Tracking of Highly Uniform PolyN-isopropylacrylamide Microgels
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Controlled Synthesis and Fluorescence Tracking of Highly Uniform PolyN-isopropylacrylamide Microgels

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粘合动力学模拟的分布式加速

Daniel F Puleri1, Aristotle X Martin1, Amanda Randles1

  • 1Department of Biomedical Engineering, Duke University, Durham, NC, USA.

Proceedings of 2022 29th European MPI Users' Group Meeting (EuroMPI/USA'2022) : September 26-28, 2022, Chattanooga, TN. European MPI Users' Group Meeting (29th : 2022 : Chattanooga, Tenn.)
|January 11, 2024
PubMed
概括

这项研究引入了一种混合并行化方法,以加速细胞粘附建模. 这种计算进步使得微容器中细胞运输的大规模模拟成为可能,这对于理解癌症转移至关重要.

科学领域:

  • 计算生物学是一种计算生物学.
  • 生物物理学的生物物理.
  • 科学计算是科学计算.

背景情况:

  • 细胞粘附对于生物过程至关重要,如白细胞迁移和癌症转移.
  • 在微容器中对长距离的细胞粘附进行建模是计算要求很高的.
  • 目前的模型难以平衡附着的亚微米分辨率与大规模域模拟.

研究的目的:

  • 为细胞粘附动态开发一个加速计算模型.
  • 为了使微容器网络中大视野域的高效模拟.
  • 为了弥合高分辨率细胞模型和大规模流体结构相互作用 (FSI) 模型之间的差距.

主要方法:

  • 引入了使用节点和分布式计算的混合并行化方案.
  • 实现了一个完全可变形的粘合力动力学细胞模型.
  • 通过空间数据结构和算法变化增强了节点上的加速.

主要成果:

  • 在现代超级计算机上实现了高性能系统使用.
  • 成功加速了可变形粘合细胞模型.
  • 启用模拟,将亚微米粘合剂相互作用与大规模的FSI相结合.

结论:

关键词:
这就是为什么IBM IBM IBM.在 LBM LBM 中.这是一个MPI.打开MP 打开MP粘合细胞是一种粘合细胞.分布式并行化分布式并行化流体结构相互作用.

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  • 混合并行化方案显著提高了细胞粘附模型的计算效率.
  • 这种加速模型允许研究复杂的现象,如微循环中的癌细胞运输.
  • 促进了以前无法实现的微容器网络动态的研究问题.