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相关概念视频

Phase Transitions02:31

Phase Transitions

20.2K
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...
20.2K
Phase Diagram01:19

Phase Diagram

6.1K
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).
6.1K
Phase Transitions: Melting and Freezing02:39

Phase Transitions: Melting and Freezing

13.1K
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...
13.1K
Phase Diagrams02:39

Phase Diagrams

43.6K
A phase diagram combines plots of pressure versus temperature for the liquid-gas, solid-liquid, and solid-gas phase-transition equilibria of a substance. These diagrams indicate the physical states that exist under specific conditions of pressure and temperature and also provide the pressure dependence of the phase-transition temperatures (melting points, sublimation points, boiling points). Regions or areas labeled solid, liquid, and gas represent single phases, while lines or curves represent...
43.6K
Phase Transitions: Sublimation and Deposition02:33

Phase Transitions: Sublimation and Deposition

17.9K
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...
17.9K
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

140
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
140

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相关实验视频

Updated: Sep 10, 2025

Orientational Transition in a Liquid Crystal Triggered by the Thermodynamic Growth of Interfacial Wetting Sheets
06:26

Orientational Transition in a Liquid Crystal Triggered by the Thermodynamic Growth of Interfacial Wetting Sheets

Published on: May 15, 2017

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通过生成机器学习推断同位素 - 阴性相过渡

Eric R Beyerle1, Pratyush Tiwary2

  • 1University of Maryland, Institute for Physical Science and Technology, College Park, Maryland 20742, USA.

Physical review letters
|August 27, 2025
PubMed
概括

机器学习模型可以学习凝聚物质物理. 热力学地图成功预测了液晶相变,证明了AI

科学领域:

  • 凝聚物质物理
  • 机器学习

背景情况:

  • 机器学习模型可以学习相位行为.
  • 伊辛模型是表现相位行为的系统的一个例子.

研究的目的:

  • 使用基于分数的建模程序描述盖伊-伯恩圆体中的同位素-形相过渡.
  • 证明生成机器学习在推断液晶相变的物理性能的能力.

主要方法:

  • 使用基于分数的建模程序称为热力学地图.
  • 在单一温度下训练模型的样本.

主要成果:

  • 生成式机器学习方法有效地推断了中间温度的阴性顺序参数.
  • 成功描述了Gay-Berne圆体融化中的同位素-形相过渡.

结论:

  • 基于分数的生成模型可以学习复杂相位过渡的基础物理.
  • 这种方法对研究非碎的液晶相变具有前景.

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Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning
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Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning

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Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning
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Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning

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