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相关概念视频

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...
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Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

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A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of the...
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Atomic Spectroscopy: Effects of Temperature01:27

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Atomization, converting samples into gas-phase atoms and ions, is essential for atomic spectroscopy. The flame temperature required for atomization affects the efficiency of the atomic spectroscopic methods by increasing the atomization efficiency and the relative population of the excited and ground states.
At thermal equilibrium, the relative populations of excited and ground state atoms can be estimated using the Maxwell–Boltzmann distribution. For example, an increase in temperature...
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Temperature Dependent Deformation01:12

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In a nonhomogeneous rod made up of steel and brass, restrained at both ends and subjected to a temperature change, several steps are involved in calculating the stress and compressive load. Due to the problem's static indeterminacy, one end support is disconnected, allowing the rod to experience the temperature change freely. Next, an unknown force is applied at the free end, triggering deformations in the rod's steel and brass portions. These deformations are then calculated and added...
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相关实验视频

Updated: Apr 13, 2026

Synthesis and Characterization of Functionalized Metal-organic Frameworks
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对于金属有机框架的量子精确机器学习潜力,使用温度驱动的主动学习.

Abhishek Sharma1, Stefano Sanvito1

  • 1School of Physics, AMBER and CRANN Institute, Trinity College, Dublin 2, Ireland.

npj computational materials
|October 11, 2024
PubMed
概括
此摘要是机器生成的。

我们开发了精确的机器学习潜力,用于研究灵活的金属有机框架 (MOF). 这种方法显著降低了模拟的计算成本,使MOF设计更好.

关键词:
电子结构 电子结构金属有机框架的框架.

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科学领域:

  • 材料科学 材料科学 材料科学
  • 计算化学的计算化学
  • 凝聚物质物理学 凝聚物质物理学

背景情况:

  • 对金属有机框架 (MOF) 的精确模拟对于设计先进材料至关重要.
  • 分子动力学 (MD) 模拟对于理解MOF结构灵活性至关重要.
  • 像密度函数理论 (DFT) 这样的当前方法在计算上昂贵,而经典的力场对于协调键缺乏准确性.

研究的目的:

  • 开发一种计算效率高且准确的方法来模拟MOF的结构灵活性.
  • 创建机器学习潜力,以实现MOFs的MD模拟的DFT精度.
  • 为了减少模拟MOF的计算负担,促进新材料的设计.

主要方法:

  • 开发两个代表性MOF的DFT精确的机器学习光谱邻近分析潜力.
  • 使用基于绘制相关内部坐标的积极学习算法,以最大限度地减少DFT训练数据.
  • 研究MOF的结构和振动特性,并将其与实验数据进行比较.

主要成果:

  • 成功开发了机器学习潜力,可以复制MOF模拟的DFT精度.
  • 通过积极学习策略显著减少所需的DFT计算.
  • 通过将模拟的结构和振动特性与实验数据进行比较,验证了开发潜力的准确性.

结论:

  • 提出的工作流提供了一个有效的策略,以研究灵活的MOF与DFT准确度.
  • 积极学习方法大大降低了与DFT计算相关的计算成本.
  • 这种方法使灵活的MOF能够以标准DFT计算成本的一小部分的成本进行研究,为改进的MOF设计铺平了道路.