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関連する概念動画

Structures of Solids02:22

Structures of Solids

Solids in which the atoms, ions, or molecules are arranged in a definite repeating pattern are known as crystalline solids. Metals and ionic compounds typically form ordered, crystalline solids. A crystalline solid has a precise melting temperature because each atom or molecule of the same type is held in place with the same forces or energy. Amorphous solids or non-crystalline solids (or, sometimes, glasses) which lack an ordered internal structure and are randomly arranged. Substances that...
Polymer Classification: Crystallinity01:21

Polymer Classification: Crystallinity

Unlike ionic or small covalent molecules, polymers do not form crystalline solids due to the diffusion limitations of their long-chain structures. However, polymers contain microscopic crystalline domains separated by amorphous domains.
Crystalline domains are the regions where polymer chains are aligned in an orderly manner and held together in proximity by intermolecular forces. For example, chains in the crystalline domains of polyethylene and nylon are bound together by van der Waals...
Metallic Solids02:37

Metallic Solids

Metallic solids such as crystals of copper, aluminum, and iron are formed by metal atoms. The structure of metallic crystals is often described as a uniform distribution of atomic nuclei within a “sea” of delocalized electrons. The atoms within such a metallic solid are held together by a unique force known as metallic bonding that gives rise to many useful and varied bulk properties.
All metallic solids exhibit high thermal and electrical conductivity, metallic luster, and malleability. Many...
Determination of Crystal Structures01:29

Determination of Crystal Structures

In the late 1800s, the revelation that light extended beyond visible wavelengths led to the discovery of X-rays by Wilhelm Roentgen. Recognized as high-energy electromagnetic radiation with short wavelengths, X-rays prompted exploration into their interaction with crystals. Max von Laue proposed in 1912 that the periodic arrangement of atoms, ions, or molecules in crystals would cause them to diffract X-rays, a hypothesis confirmed through experiments with copper sulfate and zinc sulfide...
Crystal Density01:19

Crystal Density

The crystal lattice structure of a material allows us to determine how many molecules exist in its unit cell. With this information, alongside the unit-cell parameters - three distance parameters (a, b, c) and three angular parameters (α, β, γ).Density (ρ) = (Z × M) / (a × b × c × NA)where:Z is the number of formula units per unit cellM is the molar mass of the substancea, b, and c are the edge lengths of the unit cellNA is Avogadro’s numberFor a simple cubic lattice, atoms are located only at...

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関連する実験動画

Updated: Jul 12, 2026

Probing C84-embedded Si Substrate Using Scanning Probe Microscopy and Molecular Dynamics
13:58

Probing C84-embedded Si Substrate Using Scanning Probe Microscopy and Molecular Dynamics

Published on: September 28, 2016

非結晶物質の研究におけるコンピュータ・シミュレーション方法

F Yonezawa

    Science (New York, N.Y.)
    |April 30, 1993
    PubMed
    まとめ

    コンピューターシミュレーションは,物理学の強力な第三のアプローチを提供し,実験的および理論的方法を補完します. これらの数値シミュレーションは,液体やガラスなどの非結晶物質を理解するために不可欠です.

    科学分野:

    • 物理 物理学 物理学とは
    • マテリアルサイエンス 材料科学
    • 計算科学 計算科学とは

    背景:

    • 実験物理と理論物理は伝統的なアプローチである.
    • コンピュータ・アシストド・フィジックは,重要な第三の柱として浮上しています.
    • 非結晶材料は,研究にユニークな課題を提示します.

    研究 の 目的:

    • 物理学におけるコンピュータシミュレーションの役割を強調する.
    • 非結晶材料に対する数値シミュレーションの適用について議論する.
    • 材料科学におけるコンピューティング・メソッドの有用性を探求する.

    主な方法:

    • 数値シミュレーションによる数値シミュレーション
    • コンピューターモデリング
    • 計算物理学のテクニック

    主要な成果:

    • コンピューターシミュレーションは,非結晶材料に関する貴重な洞察を提供します.
    • 液体,ガラス,無形固体,および液晶での応用が示されています.
    • 計算によるアプローチの有効性が示されています.

    さらに関連する動画

    Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
    06:37

    Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package

    Published on: September 17, 2021

    Methods of Ex Situ and In Situ Investigations of Structural Transformations: The Case of Crystallization of Metallic Glasses
    08:55

    Methods of Ex Situ and In Situ Investigations of Structural Transformations: The Case of Crystallization of Metallic Glasses

    Published on: June 7, 2018

    関連する実験動画

    Last Updated: Jul 12, 2026

    Probing C84-embedded Si Substrate Using Scanning Probe Microscopy and Molecular Dynamics
    13:58

    Probing C84-embedded Si Substrate Using Scanning Probe Microscopy and Molecular Dynamics

    Published on: September 28, 2016

    Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
    06:37

    Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package

    Published on: September 17, 2021

    Methods of Ex Situ and In Situ Investigations of Structural Transformations: The Case of Crystallization of Metallic Glasses
    08:55

    Methods of Ex Situ and In Situ Investigations of Structural Transformations: The Case of Crystallization of Metallic Glasses

    Published on: June 7, 2018

    結論:

    • コンピュータ・アシスタント・フィジックは,重要な研究パラダイムです.
    • 数学的シミュレーションは,複雑な材料を研究するために不可欠です.
    • 議論されたアプリケーションは,計算物理学の潜在能力を示しています.