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

Theory of Metallic Conduction01:17

Theory of Metallic Conduction

1.4K
The conduction of free electrons inside a conductor is best described by quantum mechanics. However, a classical model makes predictions close to the results of quantum mechanics. It is called the theory of metallic conduction.
In this theory, Newton's second law of motion is used to determine the acceleration of an electron in the presence of an applied electric field. Then, its velocity is expressed via this acceleration.
An electron moves through the crystal, containing positive ions,...
1.4K
Network Covalent Solids02:18

Network Covalent Solids

14.5K
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...
14.5K

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

Do changes of incisal inclination during orthodontic treatment influence the size of the buccal corridors? : A longitudinal study in adolescents.

Journal of orofacial orthopedics = Fortschritte der Kieferorthopadie : Organ/official journal Deutsche Gesellschaft fur Kieferorthopadie·2026
Same author

Iron accumulation in the substantia nigra is linked to functional network connectivity alterations in early-stage Parkinson's Disease: an exploratory study.

NPJ Parkinson's disease·2026
Same author

Spin Waves Excited by Hard X-Ray Transient Gratings.

Physical review letters·2026
Same author

Graphene-Based 3D Scaffolds in Bone Regeneration: Emerging Opportunities for MRONJ Treatment.

Pharmaceutics·2026
Same author

Leveraging content producer networks and user perception to detect online discursive communities.

Scientific reports·2026
Same author

Ultrafast Terahertz Field Control of the Emergent Magnetic and Electronic Interactions at Oxide Interfaces.

Advanced materials (Deerfield Beach, Fla.)·2025

相关实验视频

Updated: Sep 11, 2025

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

8.6K

寻找新材料:网络理论和机器学习视角

Jacopo Moi1, Davide Spallarossa1, Stefano Bonetti1

  • 1Ca'Foscari University of Venice, DSMN, Venice, Italy and RARA Foundation, Venice, Italy.

Physical review. E
|August 19, 2025
PubMed
概括

这项研究整合了网络理论和机器学习 (ML),以有效地探索庞大的材料数据. 这种方法加快了发现具有所需性质的新材料的速度.

更多相关视频

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

5.7K
Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

634

相关实验视频

Last Updated: Sep 11, 2025

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

8.6K
Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

5.7K
Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

634

科学领域:

  • 凝聚物质物理学 凝聚物质物理学
  • 材料科学是一种材料科学.
  • 计算材料科学 计算材料科学

背景情况:

  • 预测新材料对于技术进步至关重要.
  • 材料数据库越来越多,需要有效的勘探策略.
  • 使用多尺度描述符表示材料是导航复杂材料空间的关键.

研究的目的:

  • 审查网络理论和机器学习 (ML) 之间的协同作用,以发现材料.
  • 突出综合方法如何加快新材料的识别.
  • 强调材料探索的系统和可解释的方法.

主要方法:

  • 利用网络理论来结构和分析材料描述器之间的关系.
  • 应用机器学习 (ML) 进行预测建模和缩小维度.
  • 整合基于网络的方法与ML技术,以导航高维物质空间.

主要成果:

  • 网络理论揭示了物质关系中隐藏的模式.
  • 机器学习使预测建模能够用于识别有前途的材料候选人.
  • 网络理论和ML的结合促进了高效的材料发现.

结论:

  • 网络理论和ML的整合为材料发现提供了一个强大的框架.
  • 这种协同作用加快了发现具有定制性质的新材料的速度.
  • 系统和可解释的方法对于导航复杂的物质空间至关重要.