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相关概念视频

Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

2.8K
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
2.8K
Distribution of Molecular Speeds01:27

Distribution of Molecular Speeds

5.3K
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...
5.3K
Carrier Transport01:21

Carrier Transport

910
The generation of electrical current in semiconductors is fundamentally driven by two mechanisms: drift and diffusion. These processes are essential for the functionality and performance of semiconductor-based devices.
Drift Current:
The drift of charge carriers is started by an external electric field (E). Charged particles, such as electrons and holes, experience an acceleration between collisions with lattice atoms. For electrons, this results in a drift velocity (vd) given by:
910
Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion03:48

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

31.1K
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...
31.1K
Energy Associated With a Charge Distribution01:21

Energy Associated With a Charge Distribution

1.9K
The work done to bring a charge through a distance r is given by the potential difference between the initial and the final position. To assemble a collection of point charges, the total work done can be expressed in terms of the product of each pair of charges divided by their separation distance, defined with respect to a suitable origin. Solving this expression gives the energy stored in a point charge distribution.
1.9K
Atomic Nuclei: Nuclear Spin State Population Distribution01:14

Atomic Nuclei: Nuclear Spin State Population Distribution

2.3K
Near absolute zero temperatures, in the presence of a magnetic field, the majority of nuclei prefer the lower energy spin-up state to the higher energy spin-down state. As temperatures increase, the energy from thermal collisions distributes the spins more equally between the two states. The Boltzmann distribution equation gives the ratio of the number of spins predicted in the spin −½ (N−) and spin +½ (N+) states.
2.3K

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相关实验视频

Updated: Jan 16, 2026

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules
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Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

Published on: September 5, 2019

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基于能源的扩散发生器用于高效采样博尔兹曼分布.

Yan Wang1, Ling Guo2, Hao Wu3

  • 1School of Mathematical Sciences, Tongji University, Shanghai, China.

Neural networks : the official journal of the International Neural Network Society
|September 29, 2025
PubMed
概括

我们介绍了基于能量的扩散发生器 (EDG),这是采样复杂博尔兹曼分布的新方法. EDG无模拟,在具有挑战性的采样任务中提供卓越的性能.

关键词:
博尔兹曼分布是什么意思扩散模型是一个扩散模型.基于能源的模型生成型模型是一种生成型模型.变量自动编码器变量自动编码器

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Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
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Generating Controlled, Dynamic Chemical Landscapes to Study Microbial Behavior
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Generating Controlled, Dynamic Chemical Landscapes to Study Microbial Behavior

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相关实验视频

Last Updated: Jan 16, 2026

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Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
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Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level

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Generating Controlled, Dynamic Chemical Landscapes to Study Microbial Behavior
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科学领域:

  • 计算物理 计算物理
  • 机器学习 机器学习
  • 统计力学 统计力学

背景情况:

  • 来自博尔兹曼分布的采样对于复杂的能量函数来说至关重要但具有挑战性.
  • 现有的方法往往需要模拟或强加限制性网络约束.

研究的目的:

  • 介绍一种新的,无模拟的方法,用于采样复杂的博尔兹曼分布.
  • 开发一个灵活和高性能的生成模型用于统计抽样.

主要方法:

  • 基于能源的扩散发电机 (EDG) 集成了变量自动编码器和扩散模型.
  • 解码器从潜变量生成样本,而扩散编码器估计KL分歧.
  • 该方法是无模拟的,避免在训练期间解决微分方程.

主要成果:

  • 在具有复杂目标分布的各种采样任务中,EDG表现出卓越的性能.
  • 经验评估表明,与现有的抽样方法相比,其表现优于现有抽样方法.
  • 灵活的网络设计是通过去除像解码器二次性等约束来实现的.

结论:

  • EDG提供了一种有效和灵活的无模拟解决方案,用于采样复杂的博尔兹曼分布.
  • 该方法推进了用于统计和科学应用的生成建模.
  • 在目前最先进的抽样技术中,EDG代表了显著的改进.