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相关概念视频

Parallel Processing01:20

Parallel Processing

254
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
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Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

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Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
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Distribution of Molecular Speeds01:27

Distribution of Molecular Speeds

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The motion of molecules in a gas is random in magnitude and direction for individual molecules, but a gas of many molecules has a predictable distribution of molecular speeds. This predictable distribution of molecular speeds is known as the Maxwell-Boltzmann distribution. The distribution of molecular speeds in liquids is comparable to that of gases but not identical and can help to understand the phenomenon of the boiling and vapor pressure of a liquid. Consider that a molecule requires a...
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Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion03:48

Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion

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Although gaseous molecules travel at tremendous speeds (hundreds of meters per second), they collide with other gaseous molecules and travel in many different directions before reaching the desired target. At room temperature, a gaseous molecule will experience billions of collisions per second. The mean free path is the average distance a molecule travels between collisions. The mean free path increases with decreasing pressure; in general, the mean free path for a gaseous molecule will be...
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Equilibrium Conditions for a Particle01:23

Equilibrium Conditions for a Particle

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When an object is in equilibrium, it is either at rest or moving with a constant velocity. There are two types of equilibrium: static and dynamic. Static equilibrium occurs when an object is at rest, while dynamic equilibrium occurs when an object is moving with a constant velocity. In both cases, there must be a balance of forces acting on the object.
To understand the concept of equilibrium, let us first consider the forces acting on an object. When different forces act on an object, they can...
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Principle of Linear Impulse and Momentum for a Single Particle: Problem Solving01:23

Principle of Linear Impulse and Momentum for a Single Particle: Problem Solving

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Consider a wooden box and a cylinder of known masses m1 and m2, respectively,  hanging from a ceiling with the help of a massless pulley system.
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相关实验视频

Updated: Sep 20, 2025

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
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使用MPI进行基于粒子的反应-扩散模拟的并行化.

Sikao Guo1, Nenad Korolija2, Kent Milfeld3

  • 1TC Jenkins Department of Biophysics, Johns Hopkins University, Baltimore, Maryland, USA.

Journal of computational chemistry
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概括

我们介绍了一个并行基于粒子的反应扩散软件 (NERDSS),可以有效模拟分子自组装. 这种高分辨率的方法实现了近线性缩放,使化学和生物学中更大,更复杂的模拟成为可能.

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Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
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科学领域:

  • 计算化学是一种计算化学.
  • 生物物理学的生物物理.
  • 材料科学是一种材料科学.

背景情况:

  • 基于粒子的反应扩散提供了比连续模型更高的分辨率.
  • 准确模拟分子自我组装成复杂的结构.
  • 现有的高分辨率方法面临着高的计算成本.

研究的目的:

  • 开发一个可扩展的,并行实现NERDSS软件.
  • 为了实现大规模自组装过程的高效模拟.
  • 为了降低高分辨率反应扩散模拟的计算成本.

主要方法:

  • 使用消息传递接口 (MPI) 实现并行NERDSS.
  • 利用空间分解来实现整个处理器的系统分布.
  • 评估了可逆反应和2D和3D自组装的可扩展性.

主要成果:

  • 在96个处理器上实现了近线性扩展.
  • 为各种自组装测试案例展示了准确的解决方案.
  • 确定了影响并行效率的因素 (系统大小,时间尺度,反应网络).

结论:

  • 平行NERDSS有效地将基于粒子的反应扩散扩展到大型仿真体积.
  • 该软件为较小的组件和较慢的时间表显示最佳缩放.
  • 开源代码促进了科学研究的进一步发展和应用.