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相关概念视频

Pore Size Distribution01:23

Pore Size Distribution

495
In concrete, the pore size distribution significantly influences the material's properties. Capillary pores, markedly larger than gel pores, form a vast network within partially hydrated cement paste, reducing the concrete's strength and increasing its permeability. This heightened permeability leads to a greater risk of damage from environmental factors like freeze-thaw cycles and chemical attacks, with the extent of vulnerability also being tied to the water-to-cement ratio.
Adequate...
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Bonding in Metals02:32

Bonding in Metals

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Metallic bonds are formed between two metal atoms. A simplified model to describe metallic bonding has been developed by Paul Drüde called the “Electron Sea Model”. 
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Metallic Solids02:37

Metallic Solids

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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....
20.9K
Properties of Transition Metals02:58

Properties of Transition Metals

30.1K
Transition metals are defined as those elements that have partially filled d orbitals. As shown in Figure 1, the d-block elements in groups 3–12 are transition elements. The f-block elements, also called inner transition metals (the lanthanides and actinides), also meet this criterion because the d orbital is partially occupied before the f orbitals.
30.1K
Alkali Metals03:06

Alkali Metals

25.0K
Group 1 elements are soft and shiny metallic solids. They are malleable, ductile, and good conductors of heat and electricity. The melting points of the alkali metals are unusually low for metals and decrease going down the group, while the density increases going down the group with the exception of potassium (Table 1).
Table 1: Properties of the alkali metals
25.0K
Location and Orientation of the Heart01:13

Location and Orientation of the Heart

10.9K
The human heart, despite its modest size and weight, is an organ of remarkable strength and endurance. Roughly the size of a fist, the heart weighs between 250 and 350 grams and is nestled within the mediastinum, the medial cavity of the thorax. It extends obliquely for about 12 to 14 cm, resting on the superior surface of the diaphragm. The heart is positioned anterior to the vertebral column and posterior to the sternum, with two-thirds of its mass lying to the left of the midsternal line.
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相关实验视频

Updated: Feb 14, 2026

Synthesis and Characterization of Functionalized Metal-organic Frameworks
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面向工程的超声波解码:一个端到端的深度学习框架,用于金属颗粒大小分布的表征.

Le Dai1, Shiyuan Zhou1, Yuhan Cheng1

  • 1School of Mechanical Engineering, Beijing Institute of Technology, No. 5 South Zhong Guan Cun Street, Haidian, Beijing 100081, China.

Sensors (Basel, Switzerland)
|February 13, 2026
PubMed
概括

这项研究引入了一种深度学习模型,用于使用超声波数据预测金属颗粒大小. 这种新的方法提高了材料表征的准确性和适应性.

关键词:
深度学习是一种深度学习.谷粒大小分布的分布这是一种基于的超级合金.转移学习转移学习超声波表征的超声波表征是什么

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科学领域:

  • 材料科学 材料科学 材料科学
  • 非破坏性测试是指非破坏性测试.
  • 人工智能的人工智能

背景情况:

  • 颗粒大小显著影响金属材料的性能和性能.
  • 对于颗粒大小分析的传统超声波方法在适应性和模型假设方面存在局限性.
  • 精确的颗粒大小表征对于金属元件的质量控制至关重要.

研究的目的:

  • 开发一种深度学习架构,用于使用多式超声波特征预测GH4099中的粒度分布.
  • 为了提高超声波检查的准确性和适应性,用于颗粒大小的表征.
  • 为了克服传统超声波方法的局限性.

主要方法:

  • 提出了一个深度学习模型,利用多式超声波特征与空间编码.
  • A扫描信号被转换为时间频率表示,并由编码器解码器网络处理.
  • 一个厚度编码分支和圆空间融合策略被纳入了增强的预测.
  • 该模型经过训练和验证,使用C扫描测量GH4099.

主要成果:

  • 拟议的深度学习模型实现了平均值和标准偏差平均绝对误差 (MAE),分别为1.08和0.84μm.
  • 该模型显示Kullback-Leibler (KL) 偏差为0.0031,这表明预测准确度很高.
  • 性能明显优于传统的基于减弱和速度的超声波方法.
  • 转移学习使得在新的实验条件下能够快速恢复性能.

结论:

  • 开发的深度学习方法提供了一种实用且有效的方法,用于使用超声波检查进行粒度大小表征.
  • 多式联网功能集成和空间编码提高了预测准确性和适应性.
  • 这项工作为材料科学的先进,人工智能驱动的非破坏性评估铺平了道路.