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相关概念视频

Applications of Integration to Probability Density Functions01:27

Applications of Integration to Probability Density Functions

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Continuous probability distributions are used to model random variables that can take on any real value within a specified range. These variables do not take on isolated or countable values but rather exist on a continuum. For example, the height of an individual can be measured with increasing precision—such as 163.5 or 165.25 centimeters—demonstrating that height is a continuous random variable.The behavior of such variables is described using a probability density function (PDF),...
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Piecewise-Defined Functions01:28

Piecewise-Defined Functions

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Piecewise defined functions are mathematical models where different expressions define a function over distinct intervals of the domain. These functions are useful for representing systems with varying behaviors depending on input values.For example, the function:  uses a linear rule for inputs less than or equal to –1 and a quadratic rule for values greater than –1. Although it has two formulas, it still defines a single function.Another common type is the absolute value...
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Potential Due to a Polarized Object01:29

Potential Due to a Polarized Object

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A neutral atom consists of a positively charged nucleus surrounded by a negatively charged electron cloud. When placed in an external electric field, the external electric force pulls the electrons and nucleus apart, opposite to the intrinsic attraction between the nucleus and the electrons. The opposing forces balance each other with a slight shift between the center of masses of the nucleus and the electron cloud, resulting in a polarized atom. On the other hand, a few molecules, like water,...
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Density00:56

Density

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Density is an important characteristic of substances, crucial in determining whether an object sinks or floats in a fluid. Its SI unit is kg/m3, and its cgs unit is g/cm3. The density of an object helps in identifying its composition, and also reveals information about the phase of the matter and its substructure. The densities of liquids and solids are roughly comparable, consistent with the fact that their atoms are in close contact. However, gases have much lower densities than liquids and...
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Poisson's And Laplace's Equation01:25

Poisson's And Laplace's Equation

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The electric potential of the system can be calculated by relating it to the electric charge densities that give rise to the electric potential. The differential form of Gauss's law expresses the electric field's divergence in terms of the electric charge density.
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Energy Associated With a Charge Distribution01:21

Energy Associated With a Charge Distribution

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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.
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密度依赖的嵌入潜力用于切片的确切密度.

Tomasz A Wesolowski1

  • 1Department of Physical Chemistry, University of Geneva, Quai Ernest-Ansermet 30, CH-1211 Genève 4, Switzerland.

The Journal of chemical physics
|October 23, 2025
PubMed
概括
此摘要是机器生成的。

冷密度嵌入理论 (FDET) 不能完美地重建精确的基态电子密度. 这种局限性之所以出现,是因为理论上的理论.

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科学领域:

  • 量子化学 是一个量子化学.
  • 计算物理 计算物理
  • 密度函数理论 密度函数理论

背景情况:

  • 冷密度嵌入理论 (FDET) 提供了一种近似电子密度的方法.
  • FDET表示总电子密度为两个组成部分的和: ρ1 和 ρ2.

研究的目的:

  • 调查FDET在准确复制精确的基态电子密度方面的局限性.
  • 为了确定FDET是否可以在特定条件下实现精确的电子密度.

主要方法:

  • 分析结密度嵌入理论的数学表述.
  • 对FDET能够表示精确电子密度的条件进行理论检查.

主要成果:

  • 已经证明,FDET不能产生完全的总基态电子密度 (ρvo).
  • 即使任意元件 (ρ2) 与可测量的体积上的确切密度相等时,这种无法仍然存在.

结论:

  • 在实现精确的电子密度方面,FDET存在固有的局限性.
  • 这些发现对密度函数理论和相关嵌入方法中的子系统方法有影响.