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相关概念视频

Reclosers and Fuses01:26

Reclosers and Fuses

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Automatic circuit reclosers enhance the protection of distribution circuits by interrupting and auto-reclosing an AC circuit according to a preset sequence. They effectively manage temporary faults on overhead distribution lines, often caused by tree limbs or wildlife, by briefly disrupting service to improve overall reliability. However, contact with reclosers or energized broken conductors on the ground can pose serious hazards.
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Local Anesthetics: Chemistry and Structure-Activity Relationship01:30

Local Anesthetics: Chemistry and Structure-Activity Relationship

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Local anesthetics (LAs) are drugs that induce a temporary loss of sensation in a limited body area, preventing pain. Cocaine was the first local anesthetic discovered in the late 19th century. Cocaine is a benzoic acid ester obtained from the leaves of coca shrubs and was often used for its psychotropic effects. Cocaine was first isolated in 1860 by Albert Niemann. Sigmund Freud studied the physiological actions of cocaine. Carl Koller later introduced it into clinical practice in 1884 as a...
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A circuit breaker is a device engineered to interrupt fault currents and sometimes reclose automatically. When a fault current is detected, the breaker separates the electrical contacts, which generates an arc. This arc is extinguished by methods such as elongation, cooling, or splitting, depending on the breaker's design. Breakers are categorized based on the voltage they operate at and the medium used for arc extinction, such as air, oil, SF6 gas, or vacuum.
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Machines01:19

Machines

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Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
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Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
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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...
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相关实验视频

Updated: Jan 29, 2026

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
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通过机器学习融合多模式光谱学揭示局部结构.

Haili Jia1,2, Yiming Chen1,2, Gi-Hyeok Lee3

  • 1Center for Nanoscale Materials, Argonne National Laboratory, Woodridge, Illinois 60517, United States.

ACS nano
|January 28, 2026
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概括

这项研究整合了多式调节光谱和机器学习,以准确地描述材料结构,即使有缺陷. 该方法成功地识别了离子电池材料中的局部元素组成和缺陷.

关键词:
电池 电池 电池 电池 电池 电池核心层次的光谱学.缺陷是一个缺陷.密度函数理论密度函数理论电子能耗光谱学 电子能耗光谱学机器学习是机器学习.这是一个多式联络模式.

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科学领域:

  • 材料科学 材料科学 材料科学
  • 频谱学是一种光谱学.
  • 机器学习 机器学习

背景情况:

  • 确定原子的材料结构,特别是有缺陷的材料,至关重要但具有挑战性.
  • 现有的实验和计算方法在纳米级分辨率方面存在局限性.
  • 单源光谱数据 (例如,XAS,EELS) 可能由于不同结构的相似光谱特征而模糊.

研究的目的:

  • 开发一个框架,使用多模态光谱数据和机器学习来准确地表征材料结构.
  • 克服单一数据流方法在区分竞争结构假设方面的局限性.
  • 通过整合来自多个元素和光谱边缘的数据来确定材料的局部结构和特性.

主要方法:

  • 整合多式联运初始模拟和实验数据采集.
  • 机器学习技术的应用,以分析电子能量损失光谱 (EELS) 和X射线吸收光谱 (XAS) 数据.
  • 使用各种,,, (NMC) 氧化物化合物,包括那些有缺陷的,作为一个模型系统.

主要成果:

  • 成功推断了局部元素含量 (例如,,过渡金属) 与定量协议.
  • 演示了多式联机机器学习模型检测局部缺陷的能力,如氧气空缺和抗位.
  • 实现了物理解释性,将光谱数据连接到当地的原子和电子结构.

结论:

  • 多模式光谱和机器学习框架为准确的材料结构表征提供了强大的工具.
  • 这种方法克服了单一来源的光谱数据的模糊性,使可靠的缺陷识别成为可能.
  • 该框架提供了物理洞察力,将实验光谱与基本材料特性相结合.