Jove
Visualize
联系我们

相关概念视频

Network Covalent Solids02:18

Network Covalent Solids

12.9K
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...
12.9K
Two-Dimensional (2D) NMR: Overview01:12

Two-Dimensional (2D) NMR: Overview

1.6K
The 1D NMR spectrum of large and complex molecules like natural products has complicated splitting patterns and overlapping signals, which can be easily interpreted using 2-dimensional (2D) NMR. Unlike 1D NMR, 2D NMR has two frequency axes that provide the coupling information between the nucleus A and nucleus B in a molecule. The process from which 2D spectra are obtained has four steps.
The first step is the preparation period, during which nucleus A is excited with a radiofrequency pulse....
1.6K
[4+2] Cycloaddition of Conjugated Dienes: Diels–Alder Reaction01:16

[4+2] Cycloaddition of Conjugated Dienes: Diels–Alder Reaction

8.0K
The Diels–Alder reaction is an example of a thermal pericyclic reaction between a conjugated diene and an alkene or alkyne, commonly referred to as a dienophile. The reaction involves a concerted movement of six π electrons, four from the diene and two from the dienophile, forming an unsaturated six-membered ring. As a result, these reactions are classified as [4+2] cycloadditions.
8.0K
Diels–Alder Reaction: Characteristics of Dienes01:29

Diels–Alder Reaction: Characteristics of Dienes

3.7K
The Diels–Alder reaction brings together a diene and a dienophile to form a six-membered ring. Both components have unique characteristics that influence the rate of the reaction.
Characteristics of the diene
Conformation
The simplest example of a diene is 1,3-butadiene, an acyclic conjugated π system. At room temperature, the molecule exists as a mixture of s-cis and s-trans conformers by virtue of rotation around the carbon–carbon single bond. Although the s-trans isomer is...
3.7K
Vector Algebra: Graphical Method01:10

Vector Algebra: Graphical Method

13.7K
Vectors can be multiplied by scalars, added to other vectors, or subtracted from other vectors. The vector sum of two (or more) vectors is called the resultant vector or, for short, the resultant.
We use the laws of geometry to construct resultant vectors, followed by trigonometry to find vector magnitudes and directions. For a geometric construction of the sum of two vectors in a plane, we follow the parallelogram rule. Suppose two vectors are at arbitrary positions. Translate either one of...
13.7K
Network Function of a Circuit01:25

Network Function of a Circuit

1.1K
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
1.1K

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

Conformational Control in C2-Substituted Benzimidazolium-Based Ionic Liquids Enables Superior TcO<sub>4</sub><sup><b><sup>-</sup></b></sup> Separation from Simulated High-Level Liquid Waste.

Inorganic chemistry·2026
Same author

Molecular Representation Matters: Comparative Evaluation of Fingerprints, RDKit Descriptors, and Hashing Effects.

The journal of physical chemistry letters·2026
Same author

A Force Field Model for Actinyl Cations AnO<sub>2</sub><sup>2+</sup> and AnO<sub>2</sub><sup>+</sup> (An = U, Np, Pu) Comparable with the AMOEBA Polarizable Force Field.

Inorganic chemistry·2025
Same author

Synthesis and Evaluation of Hydrophilic 1,10-Phenanthroline Derivative for the Separation of Scandium(III) and Yttrium(III).

Inorganic chemistry·2025
Same author

Revealing an Unexpected Chemical Reactivity of Boron Nitride to H<sub>2</sub>O and Alkane Molecules.

Journal of the American Chemical Society·2025
Same author

Prediction of Actinide-Ligand Complex Stability Constants by Machine Learning.

The journal of physical chemistry. A·2025
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

相关实验视频

Updated: May 4, 2026

Design, Surface Treatment, Cellular Plating, and Culturing of Modular Neuronal Networks Composed of Functionally Inter-connected Circuits
10:32

Design, Surface Treatment, Cellular Plating, and Culturing of Modular Neuronal Networks Composed of Functionally Inter-connected Circuits

Published on: April 15, 2015

8.5K

一个连接的卷积中性网络协议,用于设计基于修改图形的二维材料.

Junqing Li1, Ziyi Liu1, Zhehuan Zhao2

  • 1State Key Laboratory of Fine Chemicals, Liaoning Key Laboratory for Catalytic Conversion of Carbon Resources, School of Chemistry, School of Chemical Engineering, Dalian University of Technology, Dalian 116024, China.

The journal of physical chemistry letters
|July 25, 2024
PubMed
概括

我们开发了一种新的人工智能方法,用于快速选- (B-N) 编的石墨烯材料用于电子应用. 这种方法可以有效地预测材料特性,有助于设计先进的光电子设备和催化剂.

更多相关视频

Anatomically Inspired Three-dimensional Micro-tissue Engineered Neural Networks for Nervous System Reconstruction, Modulation, and Modeling
10:45

Anatomically Inspired Three-dimensional Micro-tissue Engineered Neural Networks for Nervous System Reconstruction, Modulation, and Modeling

Published on: May 31, 2017

13.1K
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

515

相关实验视频

Last Updated: May 4, 2026

Design, Surface Treatment, Cellular Plating, and Culturing of Modular Neuronal Networks Composed of Functionally Inter-connected Circuits
10:32

Design, Surface Treatment, Cellular Plating, and Culturing of Modular Neuronal Networks Composed of Functionally Inter-connected Circuits

Published on: April 15, 2015

8.5K
Anatomically Inspired Three-dimensional Micro-tissue Engineered Neural Networks for Nervous System Reconstruction, Modulation, and Modeling
10:45

Anatomically Inspired Three-dimensional Micro-tissue Engineered Neural Networks for Nervous System Reconstruction, Modulation, and Modeling

Published on: May 31, 2017

13.1K
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

515

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
  • 材料中的人工智能

背景情况:

  • 兴奋剂对于调整材料电子性质至关重要.
  • 由于巨大的化学空间,材料选的传统试错方法效率低下.
  • 石墨烯 (GDY) 是一种有前途的材料,可用于各种应用.

研究的目的:

  • 开发一种用于- (B-N) 合的石墨 (GDY) 的快速选方法.
  • 用人工智能来预测B-N编码GDY的频段间隙.
  • 在GDY中建立B-N兴奋剂的定量结构-属性关系.

主要方法:

  • 一个连接的卷积神经网络 (CCNN) 用于材料选.
  • 一个配对原子局部化矩阵 (PALM) 描述符被设计来表示当地的化学环境.
  • 进行了归因分析,以了解兴奋剂的影响.

主要成果:

  • 该CCNN模型准确地预测了B-N合并GDY的频段间隙.
  • 确定了材料结构和带隙之间的定量关系.
  • 在sp2杂交站点的B-N兴奋剂对带间隙扩大的影响比sp杂交站点更大.

结论:

  • 开发的AI方法为材料选提供了高精度和高效率.
  • 这种方法有助于合理设计用于光电子设备和催化剂的基于GDY的材料.
  • 它为设计具有所需电子性质的新材料开辟了新的可能性.