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相关概念视频

Dynamic Equilibrium02:20

Dynamic Equilibrium

61.6K
A reversible chemical reaction represents a chemical process that proceeds in both forward (left to right) and reverse (right to left) directions. When the rates of the forward and reverse reactions are equal, the concentrations of the reactant and product species remain constant over time and the system is at equilibrium. A special double arrow is used to emphasize the reversible nature of the reaction. The relative concentrations of reactants and products in equilibrium systems vary greatly;...
61.6K
Phase Transitions02:31

Phase Transitions

22.3K
Whether solid, liquid, or gas, a substance's state depends on the order and arrangement of its particles (atoms, molecules, or ions). Particles in the solid pack closely together, generally in a pattern. The particles vibrate about their fixed positions but do not move or squeeze past their neighbors. In liquids, although the particles are closely spaced, they are randomly arranged. The position of the particles are not fixed—that is, they are free to move past their neighbors to...
22.3K
Phase Transitions: Sublimation and Deposition02:33

Phase Transitions: Sublimation and Deposition

19.6K
Some solids can transition directly into the gaseous state, bypassing the liquid state, via a process known as sublimation. At room temperature and standard pressure, a piece of dry ice (solid CO2) sublimes, appearing to gradually disappear without ever forming any liquid. Snow and ice sublimate at temperatures below the melting point of water, a slow process that may be accelerated by winds and the reduced atmospheric pressures at high altitudes. When solid iodine is warmed, the solid sublimes...
19.6K
Phase Diagram01:19

Phase Diagram

6.9K
The phase of a given substance depends on the pressure and temperature. Thus, plots of pressure versus temperature showing the phase in each region provide considerable insights into the thermal properties of substances. Such plots are known as phase diagrams. For instance, in the phase diagram for water (Figure 1), the solid curve boundaries between the phases indicate phase transitions (i.e., temperatures and pressures at which the phases coexist).
6.9K
Phase Transitions: Melting and Freezing02:39

Phase Transitions: Melting and Freezing

14.5K
Heating a crystalline solid increases the average energy of its atoms, molecules, or ions, and the solid gets hotter. At some point, the added energy becomes large enough to partially overcome the forces holding the molecules or ions of the solid in their fixed positions, and the solid begins the process of transitioning to the liquid state or melting. At this point, the temperature of the solid stops rising, despite the continual input of heat, and it remains constant until all of the solid is...
14.5K
Entropy Change in Reversible Processes01:10

Entropy Change in Reversible Processes

3.2K
In the Carnot engine, which achieves the maximum efficiency between two reservoirs of fixed temperatures, the total change in entropy is zero. The observation can be generalized by considering any reversible cyclic process consisting of many Carnot cycles. Thus, it can be stated that the total entropy change of any ideal reversible cycle is zero.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
3.2K

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相关实验视频

Updated: Jan 12, 2026

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
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An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

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在不平衡网络中的动态相位转换.

Jiazhen Liu1, Nathaniel M Aden1, Debasish Sarker1

  • 1University of Miami, Department of Physics, Coral Gables, Florida 33146, USA.

Physical review letters
|October 31, 2025
PubMed
概括

动态相位转换 (DPT) 是系统行为中的关键变化. 本研究介绍了一种最小网络模型,表明非线性相互作用会导致DPT,网络在关键时刻分歧.

科学领域:

  • 复杂的系统复杂的系统.
  • 网络科学 网络科学
  • 统计物理学的统计物理.

背景情况:

  • 动态相位转换 (DPT) 描述了有限时间的系统行为中的关键变化,超越了平衡物理.
  • 虽然在量子系统中进行了研究,但DPT在社会或金融网络等经典和复杂系统中被探索的较少.
  • 经验观察表明,复杂系统的突发动态变化,需要一个理论框架.

研究的目的:

  • 为不平衡网络提供一个最小的理论模型.
  • 为了证明DPT的出现来自网络内的非线性相互作用.
  • 为理解新出现的不平衡关键性提供理论基础.

主要方法:

  • 开发一个对不平衡网络的最小模型.
  • 网络动态和关键现象的分析研究.
  • 分析网络属性,如程度和聚类系数.

主要成果:

  • 网络边缘之间的非线性相互作用自然会诱导DPT.
  • 网络的程度在有限的关键时刻分离,呈现出普遍的超标缩放.
  • 关键网络属性显示系统接近关键性时的关键扩展.

结论:

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Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis
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Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis

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Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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  • 该研究为经典复杂系统中的DPT建立了理论基础.
  • 这些发现与实验观察现实世界网络突然动态变化的实证观察一致.
  • 该模型提供了对不同系统中新出现的不平衡关键性的见解.