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Quantum Numbers02:43

Quantum Numbers

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It is said that the energy of an electron in an atom is quantized; that is, it can be equal only to certain specific values and can jump from one energy level to another but not transition smoothly or stay between these levels.
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The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

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Shortly after de Broglie published his ideas that the electron in a hydrogen atom could be better thought of as being a circular standing wave instead of a particle moving in quantized circular orbits, Erwin Schrödinger extended de Broglie’s work by deriving what is now known as the Schrödinger equation. When Schrödinger applied his equation to hydrogen-like atoms, he was able to reproduce Bohr’s expression for the energy and, thus, the Rydberg formula governing hydrogen spectra.
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Classifying Matter by State02:49

Classifying Matter by State

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Chemistry is the study of matter and the changes it undergoes. Matter is anything that has mass and occupies space. Matter is all around us; the air, water, soil, mountains, even our bodies are all examples of matter. Matter is divided into three states — solid, liquid, and gas — that are commonly found on earth. The fourth state of matter, plasma, occurs naturally in the interiors of stars. 
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Electron Affinity03:07

Electron Affinity

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The electron affinity (EA) is the energy change for adding an electron to a gaseous atom to form an anion (negative ion).
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Classifying Matter by Composition03:35

Classifying Matter by Composition

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Matter: Pure Substances and Mixtures
According to its composition, the matter can be classified into two broad categories — pure substances and mixtures. 
A pure substance is a form of matter that has a constant composition throughout with uniform properties. For example, any sample of sucrose has the same composition and same physical properties, such as melting point, color, and sweetness, regardless of the source from which it is isolated. 
A mixture is composed of two or...
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Physical and Chemical Properties of Matter02:57

Physical and Chemical Properties of Matter

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The characteristics that enable us to distinguish one substance from another are called properties.
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Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform
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電子量子物質イメージング実験における機械学習

Yi Zhang1, A Mesaros1,2, K Fujita3

  • 1Department of Physics, Cornell University, Ithaca, NY, USA.

Nature
|June 21, 2019
PubMed
まとめ
この要約は機械生成です。

機械学習 (ML) は,複雑な電子量子物質 (EQM) の画像を分析します. ANNは,隠された4ユニット細胞周期状態と,銅酸化物Mott断熱器の偶発的なネマティックEQM状態を発見する.

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科学分野:

  • 凝縮物質物理学
  • 材料科学
  • 人工知能

背景:

  • 伝統的な科学的な方法は 自動化された機器による 大規模で複雑なデータセットに 苦労しています
  • 機械学習 (ML) は,電子量子物質 (EQM) の合成データを分析することに成功しています.
  • 実験的なEQMデータに MLを適用することは,原子スケールの画像のように,新しい境界を提示します.

研究 の 目的:

  • EQM画像配列の隠された順序を認識できる人工ニューラルネットワーク (ANN) を開発し,訓練する.
  • これらのANNを使用して,キャリアドープされた酸化銅Mott隔離器からの実験EQM画像データを分析する.
  • 複雑で騒々しい実験データの中で新しい電子状態を特定する.

主な方法:

  • 人工ニューラルネットワーク (ANN) の開発と訓練
  • 訓練されたANNを使用して実験的に派生したEQM画像配列の分析.
  • 電子量子物質の 原子スケールの可視化データを活用する

主要な成果:

  • ANNは複雑で騒々しい実験EQM画像データの中で隠された順序を成功裏に特定しました.
  • 4つの単位細胞の周期的な EQM 状態の発見
  • 偶然の一方向性ネマティック EQM 状態の識別

結論:

  • ML,特にANNは,複雑な実験EQMデータを効果的に分析して隠された状態を明らかにすることができます.
  • 銅酸化物Mott断熱器で発見された状態は,電子液晶の強い結合理論と一致しています.
  • このアプローチはデータに富んだ分野における 科学的発見のための強力な新しい方法論を提供します