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相关概念视频

Standard Entropy Change for a Reaction03:00

Standard Entropy Change for a Reaction

19.5K
Entropy is a state function, so the standard entropy change for a chemical reaction (ΔS°rxn) can be calculated from the difference in standard entropy between the products and the reactants.
19.5K
Entropy02:39

Entropy

28.3K
Salt particles that have dissolved in water never spontaneously come back together in solution to reform solid particles. Moreover, a gas that has expanded in a vacuum remains dispersed and never spontaneously reassembles. The unidirectional nature of these phenomena is the result of a thermodynamic state function called entropy (S). Entropy is the measure of the extent to which the energy is dispersed throughout a system, or in other words, it is proportional to the degree of disorder of a...
28.3K
Gibbs Free Energy02:39

Gibbs Free Energy

32.4K
One of the challenges of using the second law of thermodynamics to determine if a process is spontaneous is that it requires measurements of the entropy change for the system and the entropy change for the surroundings. An alternative approach involving a new thermodynamic property defined in terms of system properties only was introduced in the late nineteenth century by American mathematician Josiah Willard Gibbs. This new property is called the Gibbs free energy (G) (or simply the free...
32.4K
Predicting Reaction Outcomes02:24

Predicting Reaction Outcomes

7.8K
Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...
7.8K
Free Energy Changes for Nonstandard States03:25

Free Energy Changes for Nonstandard States

10.7K
The free energy change for a process taking place with reactants and products present under nonstandard conditions (pressures other than 1 bar; concentrations other than 1 M) is related to the standard free energy change according to this equation:
 
where R is the gas constant (8.314 J/K·mol), T is the absolute temperature in kelvin, and Q is the reaction quotient. This equation may be used to predict the spontaneity of a process under any given set of conditions.
Reaction Quotient...
10.7K
Entropy and the Second Law of Thermodynamics01:20

Entropy and the Second Law of Thermodynamics

2.7K
The second law of thermodynamics can be stated quantitatively using the concept of entropy. Entropy is the measure of disorder of the system.
The relation  between entropy and disorder can be illustrated with the example of the phase change of ice to water. In ice, the molecules are located at specific sites giving a solid state, whereas, in a liquid form, these molecules are much freer to move. The molecular arrangement has therefore become more randomized. Although the change in average...
2.7K

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相关实验视频

Updated: May 17, 2025

Unraveling Entropic Rate Acceleration Induced by Solvent Dynamics in Membrane Enzymes
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Unraveling Entropic Rate Acceleration Induced by Solvent Dynamics in Membrane Enzymes

Published on: January 16, 2016

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反应-扩散模型的最大推理.

Olga Movilla Miangolarra1, Asmaa Eldesoukey1, Ander Movilla Miangolarra2

  • 1Department of Mechanical and Aerospace Engineering, University of California, Irvine, California 92697, USA.

The Journal of chemical physics
|May 16, 2025
PubMed
概括
此摘要是机器生成的。

我们为反应扩散模型开发了一种新的最大率方法. 这种方法整合了多样化的实验数据,改善了对生物和化学系统的预测.

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Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions
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Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions

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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

Published on: September 26, 2016

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相关实验视频

Last Updated: May 17, 2025

Unraveling Entropic Rate Acceleration Induced by Solvent Dynamics in Membrane Enzymes
09:42

Unraveling Entropic Rate Acceleration Induced by Solvent Dynamics in Membrane Enzymes

Published on: January 16, 2016

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Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions
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Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions

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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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科学领域:

  • 复杂系统建模 复杂系统建模
  • 理论物理 理论物理
  • 数学生物学 数学生物学

背景情况:

  • 反应-扩散方程被广泛用于生物学,化学和物理学的复杂系统建模.
  • 当前的模型往往是现象学的,需要对实验数据进行参数匹配.
  • 需要更强大的数据整合型建模框架.

研究的目的:

  • 引入一种新的形式主义来构建基于最大的原理的反应扩散模型.
  • 开发一种能够结合各种实验数据的方法,包括集体电流和时间分布.
  • 将施罗丁格桥梁和最大口径框架扩展到非线性交互系统.

主要方法:

  • 为反应-扩散模型开发了基于最大的形式主义.
  • 扩展了施罗丁格的桥梁和最大口径的问题框架.
  • 将形式主义应用于非线性交互系统.

主要成果:

  • 成功模拟斑马鱼的形态变异进化.
  • 准确预测了波兰两个物种的种群动态.
  • 证明了结合各种实验数据类型的能力.

结论:

  • 最大形式主义为反应-扩散建模提供了一种强大的,数据驱动的方法.
  • 这种新的方法提高了复杂系统模型的预测精度.
  • 该框架适用于需要定量建模的各种科学领域.