在复杂和活性流体中绘制局部消耗和生成的地图
Caroline Desgranges1, Jerome Delhommelle2
1Department of Physics and Applied Physics, University of Massachusetts, Lowell, Massachusetts 01854, United States.
The journal of physical chemistry letters
|October 24, 2025
概括
研究人员开发了一个框架,用于在不平衡系统中绘制局部产生的地图. 这种方法揭示了局部散射与全球不可逆性和波动定理的关系,为活性物质提供了洞察力.
科学领域:
- 物理 物理学 物理
- 统计力学 统计力学
- 复杂的系统复杂的系统.
背景情况:
- 全球产量量化了物理系统中的不可逆性.
- 了解局部对产生的贡献对于复杂和活性物质至关重要.
- 时间逆转对称破坏机制需要对局部过程进行详细分析.
研究的目的:
- 开发一个框架来绘制局部消散和产生的地图.
- 为了将本地生产与不可逆转性的全球措施联系起来.
- 在主动和被动系统中研究局部产生的行为.
主要方法:
- 分析局部热流和流量.
- 复杂环境中的流体模拟.
- 活性物质系统的模拟.
- 当地波动定理的应用.
主要成果:
- 建立了一个框架,在不平衡系统中绘制局部产生的地图.
- 局部消散和产生被证明满足了局部波动定理.
- 考虑了当地地区与周围环境之间的相关性.
- 在活性流体中,对局部消散的积极和被动贡献显示出相反的相关性迹象.
结论:
- 拟议的框架成功地绘制了局部产生的地图.
- 局部波动定理提供了局部和全球不可逆转性之间的桥梁.
- 在活性物质中,积极和被动贡献的独特行为被确定.
相关概念视频
Entropy
34.9K
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...
34.9K
Entropy
3.5K
The first law of thermodynamics is quantitatively formulated via an equation relating the internal energy of a system, the heat exchanged by it, and the work done on it. A quantitative formulation of the second law of thermodynamics leads to defining a state function, the entropy.
When an ideal gas expands isothermally, the disorder in the gas increases. From the molecular perspective, the gas molecules have more volume to move around in.
Consider an infinitesimal step in the expansion, which...
When an ideal gas expands isothermally, the disorder in the gas increases. From the molecular perspective, the gas molecules have more volume to move around in.
Consider an infinitesimal step in the expansion, which...
3.5K
Entropy and Solvation
8.2K
The process of surrounding a solute with solvent is called solvation. It involves evenly distributing the solute within the solvent. The rule of thumb for determining a solvent for a given compound is that like dissolves like. A good solvent has molecular characteristics similar to those of the compound to be dissolved. For example, polar solutions dissolve polar solutes, and apolar solvents dissolve apolar solutes. A polar solvent is a solvent that has a high dielectric constant (ϵ...
8.2K
Second Law of Thermodynamics
26.6K
In the quest to identify a property that may reliably predict the spontaneity of a process, a promising candidate has been identified: entropy. Processes that involve an increase in entropy of the system (ΔS > 0) are very often spontaneous; however, examples to the contrary are plentiful. By expanding consideration of entropy changes to include the surroundings, a significant conclusion regarding the relation between this property and spontaneity may be reached. In thermodynamic models, the...
26.6K
Second Law of Thermodynamics
67.5K
The Second Law of Thermodynamics states that entropy, or the amount of disorder in a system, increases each time energy is transferred or transformed. Each energy transfer results in a certain amount of energy that is lost—usually in the form of heat—that increases the disorder of the surroundings. This can also be demonstrated in a classic food web. Herbivores harvest chemical energy from plants and release heat and carbon dioxide into the environment. Carnivores harvest the...
67.5K
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.
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


