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相关概念视频

Machines01:19

Machines

579
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.
A free-body diagram of the...
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Machines: Problem Solving II01:30

Machines: Problem Solving II

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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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Machines: Problem Solving I01:22

Machines: Problem Solving I

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A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
The toggle clamp system is a machine structure consisting of movable, pin-connected multi-force members that form a stabilized system to transmit forces. The...
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Avoidance Learning and Learned Helplessness01:14

Avoidance Learning and Learned Helplessness

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Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
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Potential Energy00:52

Potential Energy

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The energy stored by a structure and location of matter in space is called potential energy. For instance, raising a kettlebell changes its spatial location and increases its potential energy. Similarly, a stretched rubber band contains potential energy which, under certain conditions, can be converted into other forms of energy, such as kinetic energy.
Chemical bonds that form attractive forces between atoms also contain potential energy, called chemical energy. When a chemical reaction...
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Associative Learning01:27

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Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
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机器学习潜力作为超耐火多元组件陶中eutectic的指南.

V E Valiulin1, A V Mikheyenkov1, N M Chtchelkatchev2

  • 1Moscow Institute of Physics and Technology (National Research University), Dolgoprudny, Moscow Oblast 141701, Russia and Institute for High Pressure Physics, Russian Academy of Sciences, Moscow (Troitsk) 108840, Russia.

The Journal of chemical physics
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PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的AI标准,用于预测超耐火合金中的eutectic点,克服了高点材料的实验限制. 机器学习模型准确地估计度,而不需要固态数据.

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科学领域:

  • 材料科学 材料科学 材料科学
  • 计算材料科学科学 计算材料科学
  • 物理化学 物理化学

背景情况:

  • 对材料开发而言,欧特克点的确定至关重要,但对于超耐火合金 (点>3000K) 来说,由于实验成本和技术困难,具有挑战性.
  • 对于高点系统,传统方法是不切实际的,阻碍了对先进材料的研究.

研究的目的:

  • 提出一种新的AI驱动的标准,用于确定超耐火合金中的eutectic点度.
  • 开发一种超越高温系统实验方法局限性的计算方法.

主要方法:

  • 使用神经网络开发机器学习的原子间潜能,实现与初始方法相比的准确性.
  • 将新标准应用于Ti-B-C系统,这是一个经过充分研究的三组分耐火系统.
  • 设计为在液态阶段有效运行的算法,不需要固态晶体结构信息.

主要成果:

  • 拟议的AI标准成功预测了超耐火合金中的eutectic点度.
  • 机器学习潜力表现出高精度,与已建立的计算技术相美.
  • 使用Ti-B-C系统验证了该方法的有效性.

结论:

  • 先进的人工智能建模为预测具有挑战性的超耐火合金系统中易感点提供了强大且具有成本效益的替代方案.
  • 开发的方法可以在不依赖于固态结构数据的情况下进行准确的eutectic点估计,从而扩大了适用性.
  • 这项工作为加速发现和设计新型高性能耐火材料铺平了道路.