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

Multi-Step Reactions02:31

Multi-Step Reactions

7.2K
Chemical reactions often occur in a stepwise fashion involving two or more distinct reactions taking place in a sequence. A balanced equation indicates the reacting species and the product species, but it reveals no details about how the reaction occurs at the molecular level. The reaction mechanism (or reaction path) provides details regarding the precise, step-by-step process by which a reaction occurs. Each of the steps in a reaction mechanism is called an elementary reaction. These...
7.2K
Predicting Reaction Outcomes02:24

Predicting Reaction Outcomes

8.2K
Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...
8.2K
Chemical Reactions01:19

Chemical Reactions

88.3K
A chemical reaction is a process by which the bonds in the atoms of substances are rearranged to generate new substances. Matter cannot be created or destroyed in a chemical reaction—the same type and number of atoms that make up the reactants are still present in the products. Merely, the rearrangement of chemical bonds produces new compounds.
Chemical Reactions Rearrange Atoms into New Substances
A chemical reaction takes starting materials—the reactants—and changes them...
88.3K
Determining Order of Reaction02:53

Determining Order of Reaction

55.0K
Rate laws describe the relationship between the rate of a chemical reaction and the concentration of its reactants. In a rate law, the rate constant k and the reaction orders are determined experimentally by observing how the rate of reaction changes as the concentrations of the reactants are changed. A common experimental approach to the determination of rate laws is the method of initial rates. This method involves measuring reaction rates for multiple experimental trials carried out using...
55.0K
Coupled Reactions01:17

Coupled Reactions

7.5K
Cellular processes such as building and breaking down complex molecules occur through stepwise chemical reactions. Some of these chemical reactions are spontaneous and release energy, whereas others require energy to proceed. Cells often couple the energy-releasing reaction with the energy-requiring one to carry out important cell functions. 
Energy in adenosine triphosphate or ATP molecules is easily accessible to do work. ATP powers the majority of energy-requiring cellular reactions....
7.5K
Thermal and Photochemical Electrocyclic Reactions: Overview01:26

Thermal and Photochemical Electrocyclic Reactions: Overview

2.3K
Electrocyclic reactions are reversible reactions. They involve an intramolecular cyclization or ring-opening of a conjugated polyene. Shown below are two examples of electrocyclic reactions. In the first reaction, the formation of the cyclic product is favored. In contrast, in the second reaction, ring-opening is favored due to the high ring strain associated with cyclobutene formation.
2.3K

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

First High-Throughput Evaluation of Dark Matter Detector Materials.

Physical review letters·2026
Same author

Ion correlations explain kinetic selectivity in diffusion-limited solid-state synthesis reactions.

Nature materials·2026
Same author

Identification of Solid-Electrolyte Interphase Species by Joint Characterization of Li-Ion Battery Chemistry by Mass Spectrometry and Electrochemical Reaction Networks.

Journal of the American Chemical Society·2026
Same author

Unraveling the Steric Effect of Trialkyl Phosphates on the Solvation Sheath and Solid Electrolyte Interphase in High-Efficiency Magnesium Electrolytes.

Journal of the American Chemical Society·2026
Same author

Accelerated Discovery of Cost-Effective Photoabsorber Materials for Near-Infrared (λ = 1600 nm) Photodetector Applications.

ACS materials Au·2026
Same author

Multigas adsorption with single-site cooperativity in a metal-organic framework.

Science (New York, N.Y.)·2025
Same journal

Structure-Optical Property Relationships in AMM'Q<sub>3</sub> Chalcogenides.

Chemistry of materials : a publication of the American Chemical Society·2026
Same journal

Trends for Proton Transport Activity and Stability in Turnbull's Blue Analogues: Theory and Experiments.

Chemistry of materials : a publication of the American Chemical Society·2026
Same journal

Step-by-Step Real-Time Electron Paramagnetic Resonance Monitored Protocol for Synthesizing a Nitroxide-Functionalized Periodic Mesoporous Organosilica.

Chemistry of materials : a publication of the American Chemical Society·2026
Same journal

Structure, Electrochemistry, and Phase Evolution of Al-Substituted Na<sub>2/3</sub>[Ni<sub>1/3‑y</sub>Mn<sub>2/3‑z</sub>Al <sub><i>y</i>+<i>z</i></sub> ]O<sub>2</sub> as a Sodium-Ion Battery Cathode Material.

Chemistry of materials : a publication of the American Chemical Society·2026
Same journal

Anisotropic Ferromagnetism in CrAu<sub>3</sub>Sb<sub>6</sub>.

Chemistry of materials : a publication of the American Chemical Society·2026
Same journal

Maximizing Room-Temperature Red Phosphorescence in Contorted Hexabenzocoronene Derivatives.

Chemistry of materials : a publication of the American Chemical Society·2026
查看所有相关文章

相关实验视频

Updated: Jun 1, 2025

Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches
07:31

Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches

Published on: September 1, 2023

2.1K

一个细胞自动模拟器,用于预测固态反应中的相位演变.

Max C Gallant1,2, Matthew J McDermott1,2, Bryant Li1,2

  • 1Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States.

Chemistry of materials : a publication of the American Chemical Society
|January 20, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一个计算框架来预测固态反应结果,加速发现新的功能材料. 该工具模拟了反应通路,优化了中的无机固体的合成配方.

更多相关视频

Finite Element Modelling of a Cellular Electric Microenvironment
08:23

Finite Element Modelling of a Cellular Electric Microenvironment

Published on: May 18, 2021

3.4K
Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
10:52

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Published on: April 12, 2019

12.7K

相关实验视频

Last Updated: Jun 1, 2025

Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches
07:31

Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches

Published on: September 1, 2023

2.1K
Finite Element Modelling of a Cellular Electric Microenvironment
08:23

Finite Element Modelling of a Cellular Electric Microenvironment

Published on: May 18, 2021

3.4K
Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
10:52

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Published on: April 12, 2019

12.7K

科学领域:

  • 材料科学 材料科学 材料科学
  • 计算化学计算化学
  • 固态化学 固态化学

背景情况:

  • 高通量材料发现工作流需要高效的计算工具来设计固态合成配方.
  • 加快新型功能材料的实验实现对于材料创新至关重要.

研究的目的:

  • 开发一个细胞自动机模拟框架,用于预测固态反应期间相的时间依赖演变.
  • 为了使在体设计和优化固态合成配方.

主要方法:

  • 一个细胞自动机模拟框架被开发用于模拟固态反应.
  • 使用密度函数理论数据和机器学习模型来估计点和吉布斯自由能量的反应速率.
  • 模拟包括反应物颗粒分布,化和反应大气的影响.

主要成果:

  • 该框架预测了在实验合成之前反应配方的可能结果.
  • 对BaTiO3,CaZrN2和YMnO3的五种实验配方的分析表明,该模型能够捕捉反应选择性和反应途径.
  • 模拟准确地预测了基于温度和前体选择的反应结果.

结论:

  • 开发的模拟框架有助于优化现有配方,并为无机固体设计新的配方.
  • 这种工具有助于识别反应中间体,并加速新型功能材料的发现.
  • 计算方法为in silico材料设计和合成规划提供了重大进步.