多尺度透进化在复杂系统和数据科学中的重要作用
Shahid Nawaz1, Muhammad Saleem2, Fedor V Kusmartsev3
1Department of Physics, Loughborough University, Loughborough LE11 3TU, UK.
Entropy (Basel, Switzerland)
|April 26, 2024
概括
本研究引入了多尺度动力学 (MED) 来分析复杂的系统. 媒体揭示系统驱动器,并通过通用非线性施罗丁格方程 (GNSE) 表达动态,适用于跨领域.
科学领域:
- 复杂系统研究 复杂系统研究
- 数据科学应用程序数据科学应用程序
- 非线性动力学是一种非线性动力学.
背景情况:
- 复杂系统在自然科学和社会科学中无处不在.
- 数据科学,人工智能和机器学习提供了理解复杂系统的工具,而不需要深入的动态知识.
研究的目的:
- 为了证明多尺度 (MSE) 在表征复杂系统稳定状态中的关键作用.
- 引入一个新的框架,多尺度动力学 (MED),用于剖析系统进化和识别驱动力.
主要方法:
- 应用多尺度 (MSE) 来分析复杂系统的稳定状态.
- 开发和实施多尺度动力学 (MED) 方法.
- 使用通用非线性施罗丁格方程 (GNSE) 的数学建模.
主要成果:
- 多尺度 (MSE) 被证实是描述复杂系统稳定状态的关键.
- 媒体方法论为剖析系统动态提供了一个框架.
- 复杂的系统动态可以通过通用非线性施罗丁格方程 (GNSE) 来表达.
结论:
- 媒体方法提供了一种强大的方法来理解复杂的系统动态.
- GNSE为各种复杂系统行为提供了一个统一的数学表达式.
- 这项研究加深了对复杂系统中的基础的理解.
相关概念视频
Entropy Change in Reversible Processes
2.5K
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.
2.5K
Entropy and the Second Law of Thermodynamics
2.8K
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...
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...
2.8K
The Second Law of Thermodynamics
5.3K
In the quest to identify a property that may reliably predict the spontaneity of a process, a promising candidate has been identified: entropy. Scientists refer to the measure of randomness or disorder within a system as entropy. High entropy means high disorder and low energy. To better understand entropy, think of a student’s bedroom. If no energy or work were put into it, the room would quickly become messy. It would exist in a very disordered state, one of high entropy. Energy must be...
5.3K
Entropy and Solvation
7.0K
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...
7.0K
Entropy within the Cell
10.6K
A living cell's primary tasks of obtaining, transforming, and using energy to do work may seem simple. However, the second law of thermodynamics explains why these tasks are harder than they appear. None of the energy transfers in the universe are completely efficient. In every energy transfer, some amount of energy is lost in a form that is unusable. In most cases, this form is heat energy. Thermodynamically, heat energy is defined as the energy transferred from one system to another that...
10.6K
Second Law of Thermodynamics
23.8K
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...
23.8K


