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相关概念视频

Corrosion02:49

Corrosion

25.1K
The degradation of metals due to natural electrochemical processes is known as corrosion. Rust formation on iron, tarnishing of silver, and the blue-green patina that develops on copper are examples of corrosion. Corrosion involves the oxidation of metals. Sometimes it is protective, such as the oxidation of copper or aluminum, wherein a protective layer of metal oxide or its derivatives forms on the surface, protecting the underlying metal from further oxidation. In other cases, corrosion is...
25.1K
Corrosion of Reinforcement01:27

Corrosion of Reinforcement

215
The corrosion of steel reinforcement within concrete is a process influenced by the material's inherent properties and external factors. The high pH level of around 13, provided by calcium hydroxide present in concrete, initially protects the steel reinforcement by promoting the formation of a passive iron oxide layer on its surface.
However, over time and under certain conditions like carbonation, chloride ingress, and cracking this protective state can be compromised. Steel has areas with...
215
Mechanical Characteristics of Steel01:18

Mechanical Characteristics of Steel

605
The mechanical characteristics of steel are assessed through various tests that evaluate its strength, toughness, and flexibility. These tests include tension, torsion, impact, bending, and hardness assessments, each providing crucial information about steel's suitability for specific applications.
The tension test is fundamental for determining tensile strength. In this test, a steel specimen is stretched using a gripping device until it breaks. The data collected during this test are used...
605
Steel Manufacturing01:26

Steel Manufacturing

623
Steel manufacturing is a multi-stage process that begins by smelting iron ore into cast iron in a blast furnace. This initial stage involves layering iron ore with coke, a type of fuel, and crushed limestone within the furnace. The coke is ignited with a high volume of air, leading to the creation of carbon monoxide, which acts to reduce the iron ore to pure iron.
During this smelting process, limestone plays a crucial role by forming slag. Slag captures impurities within the molten iron, such...
623
Steel Fastening Techniques01:17

Steel Fastening Techniques

184
Steel sections can be joined together through various fastening techniques including riveting, bolting, and welding, each suitable for different structural requirements and conditions.
Rivets are cylindrical steel fasteners with a specially designed head. During application, rivets are heated until white-hot and then inserted through pre-drilled holes in the steel sections. A pneumatic hammer is used to shape the exposed end into a second head, securing the sections together.
Bolting is another...
184
Metal-Ligand Bonds02:51

Metal-Ligand Bonds

21.0K
The hemoglobin in the blood, the chlorophyll in green plants, vitamin B-12, and the catalyst used in the manufacture of polyethylene all contain coordination compounds. Ions of the metals, especially the transition metals, are likely to form complexes.
In these complexes, transition metals form coordinate covalent bonds, a kind of Lewis acid-base interaction in which both of the electrons in the bond are contributed by a donor (Lewis base) to an electron acceptor (Lewis acid). The Lewis acid in...
21.0K

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相关实验视频

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Determining Tribocorrosion Rate and Wear-Corrosion Synergy of Bulk and Thin Film Aluminum Alloys
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通过自然语言处理和深度学习来改进耐腐蚀合金设计.

Kasturi Narasimha Sasidhar1, Nima Hamidi Siboni1,2, Jaber Rezaei Mianroodi1,2

  • 1Max-Planck-Institut für Eisenforschung GmbH, Max-Planck Straße-1, 40237 Düsseldorf, Germany.

Science advances
|August 11, 2023
PubMed
概括

我们开发了先进的机器学习方法,使用自然语言处理和深度学习来预测合金孔潜力. 这种方法通过整合文本数据和使用元素属性而不是构成,显著提高了准确性.

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Co-localizing Kelvin Probe Force Microscopy with Other Microscopies and Spectroscopies: Selected Applications in Corrosion Characterization of Alloys
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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
  • 化学工程是化学工程的重要组成部分.

背景情况:

  • 用于材料设计的机器学习模型往往受到它们无法处理来自实验描述的文本数据的限制.
  • 手动从文本中提取数据可以降低信息密度,限制模型的准确性.

研究的目的:

  • 为了增强机器学习能力,耐腐蚀合金设计.
  • 开发用于将文本数据纳入深度学习模型的自动化方法.
  • 确定影响合金孔潜力的关键元素描述符.

主要方法:

  • 实现了自然语言处理 (NLP) 方法,将文本数据自动转换为适合深度神经网络的格式.
  • 开发了一个深度学习模型,利用转换的输入特征空间.
  • 取代传统的合金成分输入以基于元素物理和化学性质的数值描述器.

主要成果:

  • 在测量潜在预测准确度方面取得了显著的改进,超过了最先进的方法.
  • 成功识别了影响位潜力的关键元素描述器,包括配置,原子包装效率,局部电子负性差异和原子半径差异.

结论:

  • 自动化NLP与深度学习的整合为增强材料设计提供了一个强大的策略.
  • 元素的物理/化学特性是合金孔潜力的关键预测因素,为设计优质耐腐蚀合金提供了新的见解.