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Metal-Ligand Bonds02:51

Metal-Ligand Bonds

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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...
25.1K
Trends in Lattice Energy: Ion Size and Charge02:54

Trends in Lattice Energy: Ion Size and Charge

26.9K
An ionic compound is stable because of the electrostatic attraction between its positive and negative ions. The lattice energy of a compound is a measure of the strength of this attraction. The lattice energy (ΔHlattice) of an ionic compound is defined as the energy required to separate one mole of the solid into its component gaseous ions. For the ionic solid sodium chloride, the lattice energy is the enthalpy change of the process:
26.9K
Network Covalent Solids02:18

Network Covalent Solids

16.4K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.4K
High-Resolution Mass Spectrometry (HRMS)01:15

High-Resolution Mass Spectrometry (HRMS)

2.8K
The resolution of a mass spectrometer depends on the efficiency of separating ions with different ion masses. The mass of an atom is approximated to the sum of the masses of protons and neutrons inside, considering the masses of protons and neutrons as equal. However, the masses of the proton (1.6726 × 10−24 g) and neutron (1.6749 × 10−24 g) are not truly equal. There is a minor error in the expression of atomic masses relative to the simplest atom of hydrogen. For...
2.8K
Standard Entropy Change for a Reaction03:00

Standard Entropy Change for a Reaction

25.5K
Entropy is a state function, so the standard entropy change for a chemical reaction (ΔS°rxn) can be calculated from the difference in standard entropy between the products and the reactants.
25.5K
Genetic Lingo01:11

Genetic Lingo

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Overview
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相关实验视频

Updated: Mar 7, 2026

Bulk and Thin Film Synthesis of Compositionally Variant Entropy-stabilized Oxides
09:41

Bulk and Thin Film Synthesis of Compositionally Variant Entropy-stabilized Oxides

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使用大语言模型生成的高透合金数据库.

Vladimir Chizhevskiy1,2, Gordana Marković3,4, Salah-Eddine Benrazzouq4

  • 1Jožef Stefan Institute, Department of Gaseous Electronics, Jamova cesta 39, 1000, Ljubljana, Slovenia.

Scientific data
|March 5, 2026
PubMed
概括
此摘要是机器生成的。

研究人员使用NLP和LLMs分析了4625篇关于高合金 (HEAs) 的文章. 他们创建了一个12427个HEA的数据库,详细描述了高精度的组成和结构.

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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
  • 数据科学数据科学数据科学

背景情况:

  • 高合金 (HEAs) 是材料科学中快速发展的一个领域.
  • 对广的HEA文献进行系统分析是一个重大挑战.
  • 现有的研究数据往往是无结构的,难以获取.

研究的目的:

  • 开发一种自动化方法,从HEA科学文献中提取和结构化数据.
  • 创建一个全面的高合金数据库,包括它们的成分,相和结构.
  • 从理论和实验HEA研究中区分和目录数据.

主要方法:

  • 使用自然语言处理 (NLP) 技术分析了4625篇科学文章.
  • 采用大型语言模型 (LLM),包括mamba-transformer混合架构,用于数据提取.
  • 开发了快速工程策略,以针对特定数据点完善LLM性能.
  • 实施了一种系统的方法来区分和记录理论和实验研究的参数.

主要成果:

  • 从分析文献中成功识别和表征了12,427种独特的高合金.
  • 开发了一个结构化数据库,包含合金成分,相数和晶体结构.
  • 实现了高准确率:HEA组成的94.3%,HEA阶段识别的78.7%.
  • 对理论研究 (建模方法,计算参数) 和实验研究 (合成方法,处理条件) 的方法详细说明.

结论:

  • 证明了使用NLP和LLM用于材料科学中大规模自动数据提取的可行性.
  • 创建的数据库为高合金领域的研究人员提供了有价值的,结构化的资源.
  • 这种自动化方法显著提高了广泛的HEA研究数据的可访问性和可用性.