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関連する概念動画

Viscosity01:17

Viscosity

6.1K
When water is poured into a glass, it falls freely and quickly, whereas if honey or maple syrup is poured over a pancake, it flows slowly and sticks to the surface of the container. This difference in the flow of different kinds of liquids arises due to the fluid friction between the liquid layers and the liquid and the surrounding material. This property of fluids is called fluid viscosity. In this example, water has a lower viscosity than honey and maple syrup.
The SI unit of viscosity is...
6.1K
Viscosity of Fluid01:19

Viscosity of Fluid

679
Viscosity measures the resistance a fluid offers to flow and deformation. It results from internal friction between layers of fluid moving relative to one another. Dynamic viscosity, denoted by the Greek letter mu (μ), quantifies the force needed to move one fluid layer over another. For Newtonian fluids like water and air, the relationship between the shearing stress and the rate of shearing strain is linear, meaning their viscosity remains constant regardless of the applied stress.
679
Stokes' Law01:20

Stokes' Law

1.6K
Viscous forces, like friction, are intermolecular forces that resist the relative motion of molecules over each other. When a solid body moves through a liquid, viscous forces drag it in the opposite direction. The force's magnitude depends on the solid's shape and size, as well as its speed and the liquid's coefficient of viscosity, density and temperature.
The expression for the force on a solid spherical object in a fluid is called Stokes' law. Stokes' law is valid only...
1.6K
Newtonian Fluid: Problem Solving01:18

Newtonian Fluid: Problem Solving

390
Newtonian fluids exhibit a constant viscosity, meaning their shear stress and shear strain rate are directly proportional. This property ensures a predictable and stable response to applied forces, maintaining a linear relationship between force and flow. Examples include water, air, and light oils, consistently demonstrating this proportional behavior regardless of external conditions.
A velocity gradient forms within the fluid when a Newtonian fluid is placed between two parallel plates, with...
390
Accelerating Fluids01:17

Accelerating Fluids

1.4K
When a fluid is in constant acceleration, the pressure and buoyant force equations are modified. Suppose a beaker is placed in an elevator accelerating upward with a constant acceleration, a. In the beaker, assume there is a thin cylinder of height h with an infinitesimal cross-sectional area, ΔS.
The motion of the liquid within this infinitesimal cylinder is considered to obtain the pressure difference. Three vertical forces act on this liquid:
1.4K
Types of Fluids01:27

Types of Fluids

485
Fluids can be classified into Newtonian and non-Newtonian fluids based on their response to shear stress. Newtonian fluids have a linear relationship between shear stress and the shear strain rate, following Newton's law of viscosity. Their viscosity remains constant regardless of the shear rate, making their behavior predictable and easier to analyze. Common examples include water, air, oil, and gasoline.
In contrast, non-Newtonian fluids do not follow Newton's law of viscosity, and...
485

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Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression
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"物理情報に基づく機械学習モデルを使用して,材料の特性予測を進める"に関するコメント

Maximilian Fleck1, Samir Darouich2,3, Marcelle B M Spera1

  • 1Institute of Thermodynamics and Thermal Process Engineering, University of Stuttgart, Pfaffenwaldring 9, 70569, Stuttgart, Germany.

Journal of cheminformatics
|August 28, 2025
PubMed
まとめ
この要約は機械生成です。

物理的な機械学習は データが不足したときに粘度予測を 改善します 蒸発熱のような 分子ダイナミクスの記述を統合することで 純粋な液体の精度が向上します

科学分野:

  • 物理化学
  • 材料科学
  • コンピュータ化学

背景:

  • データ駆動型機械学習 (ML) は,限られたデータでプロパティ予測の課題に直面しています.
  • 物理に基づいたモデルと MLを統合することで,予測性能を向上させることができます.
  • 噛んでる 液体の粘度を予測するために,定量的な構造-性質関係 (QSPR) の分子動力学 (MD) ディスクリプターを使用した.
キーワード:
イーリングレート理論物理に触発されたニューラルネットワーク粘度

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