Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Thermodynamic Potentials01:26

Thermodynamic Potentials

984
Thermodynamic potentials are state functions that are extremely useful in analyzing a thermodynamic system. They have dimensions of energy. The four important thermodynamic potentials are internal energy, enthalpy, Helmholtz free energy, and Gibbs free energy. These thermodynamic potentials can be expressed using two of the following variables: pressure, volume, temperature, and entropy. These two variables are expressed as the rate of change of the thermodynamic potential with respect to other...
984
Trends in Lattice Energy: Ion Size and Charge02:54

Trends in Lattice Energy: Ion Size and Charge

24.4K
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:
24.4K
Molecular and Ionic Solids02:54

Molecular and Ionic Solids

17.9K
Crystalline solids are divided into four types: molecular, ionic, metallic, and covalent network based on the type of constituent units and their interparticle interactions.
Molecular Solids
Molecular crystalline solids, such as ice, sucrose (table sugar), and iodine, are solids that are composed of neutral molecules as their constituent units. These molecules are held together by weak intermolecular forces such as London dispersion forces, dipole-dipole interactions, or hydrogen bonds, which...
17.9K
Thermodynamics: Chemical Potential and Activity01:10

Thermodynamics: Chemical Potential and Activity

1.2K
The effective concentration of a species in a solution can be expressed precisely in terms of its activity. Activity considers the effect of electrolytes present in the vicinity of the species of interest and depends on the ionic strength of the solution. The activity of a species is expressed as the product of molar concentration and the activity coefficient of the species.
The thermodynamic equilibrium constant is more accurately defined in terms of activity rather than concentration.
1.2K
Potential-Energy Criterion for Equilibrium01:16

Potential-Energy Criterion for Equilibrium

640
Potential energy or potential function plays an essential role in determining the stability of a mechanical system. If a system is subjected to both gravitational and elastic forces, the potential function of the system can be expressed as the algebraic sum of gravitational and elastic potential energy. If the system is in equilibrium and is displaced by a small amount, then the work done on the system equals the negative of the change in the system's potential energy from the initial to...
640
Predicting Molecular Geometry02:27

Predicting Molecular Geometry

36.2K
VSEPR Theory for Determination of Electron Pair Geometries
36.2K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Ferroelectric Dynamic-Field-Driven Nucleation and Growth Model for Predictive Materials-To-Circuit Co-Design.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

Tailoring Phonon-Driven Responses in α-MoO<sub>3</sub> through Isotopic Enrichment.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

Evidence of Local Structural Variations and Their Influence on Magnetic Properties in Mn- and Cr-Containing High-Entropy Oxide Thin Films Using Electron Microscopy.

Journal of the American Chemical Society·2026
Same author

Soil Microbial Diversity and Its Environmental Drivers in the Rhizosphere Profile of <i>Camellia reticulata</i>.

Microorganisms·2026
Same author

Decoding THz-Driven Dynamic Fingerprints of Ferroelectric Nanotwin Networks.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

Author Correction: Magnon confinement in epitaxial antiferromagnetic oxide heterostructures.

Nature materials·2026
Same journal

Erratum: Bacterial Turbulence at Compressible Fluid Interfaces [Phys. Rev. Lett. 136, 138301 (2026)].

Physical review letters·2026
Same journal

Unveiling Light-Quark Yukawa Flavor Structure via Dihadron Fragmentation at Lepton Colliders.

Physical review letters·2026
Same journal

Adaptable Route to Fast Coherent State Transport via Bang-Bang-Bang Protocols.

Physical review letters·2026
Same journal

Topological Transition and Emergence of Elasticity of Dislocation in Skyrmion Lattice: Beyond Kittel's Magnetic-Polar Analogy.

Physical review letters·2026
Same journal

Pound-Drever-Hall Method for Superconducting-Qubit Readout.

Physical review letters·2026
Same journal

Coupling a ^{73}Ge Nuclear Spin to an Electrostatically Defined Quantum Dot in Silicon.

Physical review letters·2026
查看所有相关文章

相关实验视频

Updated: Sep 19, 2025

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

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

Published on: May 29, 2018

9.6K

通过机器学习的原子间潜能发现高氧化物.

Jacob T Sivak1, Saeed S I Almishal2, Mary Kathleen Caucci1

  • 1The Pennsylvania State University, Department of Chemistry, University Park, Pennsylvania 16802, USA.

Physical review letters
|June 18, 2025
PubMed
概括
此摘要是机器生成的。

高的材料利用混乱的新化学物质. 这项研究整合了计算和实验,绘制了单相岩盐高氧化物,识别了新的组成.

更多相关视频

Writing and Low-Temperature Characterization of Oxide Nanostructures
06:43

Writing and Low-Temperature Characterization of Oxide Nanostructures

Published on: July 18, 2014

10.1K
Tuning Oxide Properties by Oxygen Vacancy Control During Growth and Annealing
06:44

Tuning Oxide Properties by Oxygen Vacancy Control During Growth and Annealing

Published on: June 9, 2023

3.3K

相关实验视频

Last Updated: Sep 19, 2025

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

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

Published on: May 29, 2018

9.6K
Writing and Low-Temperature Characterization of Oxide Nanostructures
06:43

Writing and Low-Temperature Characterization of Oxide Nanostructures

Published on: July 18, 2014

10.1K
Tuning Oxide Properties by Oxygen Vacancy Control During Growth and Annealing
06:44

Tuning Oxide Properties by Oxygen Vacancy Control During Growth and Annealing

Published on: June 9, 2023

3.3K

科学领域:

  • 材料科学 材料科学 材料科学
  • 固态化学 固态化学
  • 计算材料科学科学 计算材料科学

背景情况:

  • 高性材料通过利用化学乱提供独特的特性.
  • 传统的材料发现通常依赖于度,限制了对某些组成的访问.
  • 岩盐高氧化物是一种具有可调节性质的有希望的材料类.

研究的目的:

  • 为探索单相岩盐高氧化物开发一种自相一致的计算实验方法.
  • 为了准确地绘制这些材料的组成空间.
  • 为了确定新的,稳定的单相岩盐高氧化物化合物.

主要方法:

  • 利用机器学习的原子间潜力进行快速准确的模拟.
  • 采用了两个关键描述:债券长度分布和混合度.
  • 综合计算预测与实验验证.

主要成果:

  • 成功地绘制了岩盐氧化物的高构成空间.
  • 准确预测已知化合物的单相稳定性.
  • 确定了数十种新的潜在单相岩盐高氧化物化合物.

结论:

  • 综合计算实验方法对于发现单相高氧化物是有效的.
  • 纽带长度分布和混合度是这类材料的有价值的描述.
  • 单相岩盐高氧化物的众多新成分正在等待实验发现.