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

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

Ampere-Maxwell's Law: Problem-Solving

1.1K
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...
1.1K
Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

199
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
199
Neural Circuits01:25

Neural Circuits

2.6K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
2.6K
Introduction to Learning01:18

Introduction to Learning

903
Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
903
Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

5.3K
An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
5.3K
Predicting Reaction Outcomes02:24

Predicting Reaction Outcomes

9.9K
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,...
9.9K

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

Pressure-driven electronegativity inversion in alkali liquids.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Pressure-regulated rotational guests in nano-confined spaces suppress heat transport in methane hydrates.

Nature communications·2024
Same author

Disorder enhanced dynamical heterogeneity in strain glass alloys.

Journal of physics. Condensed matter : an Institute of Physics journal·2023
Same author

Synergistic catalysis of graphitic carbon nitride supported bimetallic sulfide nanostructures for efficient oxygen generation.

Chemical communications (Cambridge, England)·2022
Same author

An analgesic peptide H-20 attenuates chronic pain via the PD-1 pathway with few adverse effects.

Proceedings of the National Academy of Sciences of the United States of America·2022
Same author

Comparative genomic and transcriptomic analyses uncover the molecular basis of high nitrogen-use efficiency in the wheat cultivar Kenong 9204.

Molecular plant·2022

相关实验视频

Updated: Jan 9, 2026

Decoding Natural Behavior from Neuroethological Embedding
08:00

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

562

材料动力学的AI驱动解码:从机器学习潜力和可解释性到生成预测.

Long Zhao1, Hongxiang Zong1

  • 1State Key Laboratory for Mechanical Behavior of Materials, Xi'an Jiaotong University, Xi'an, 710049, China.

Advanced materials (Deerfield Beach, Fla.)
|December 6, 2025
PubMed
概括
此摘要是机器生成的。

人工智能 (AI) 正在通过实现原子级动态的现实建模来彻底改变材料科学. 这种方法通过预测各种条件下的性能来加速先进材料的设计.

关键词:
原子学模拟的原子学模拟可以解释的解释性.机器学习是机器学习.材料动力学 材料动力学

相关实验视频

Last Updated: Jan 9, 2026

Decoding Natural Behavior from Neuroethological Embedding
08:00

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

562

科学领域:

  • 材料科学 材料科学 材料科学
  • 计算科学 计算科学
  • 人工智能的人工智能

背景情况:

  • 预测材料性能需要了解原子尺度上的动态过程.
  • 对这些纳米级动态的实验探测在实验上具有挑战性.
  • 人工智能 (AI) 为材料动态提供了先进的建模能力.

研究的目的:

  • 审查人工智能的最新进展,以建模和预测材料动态.
  • 在材料科学挑战中展示AI应用.
  • 概述人工智能在材料设计中的未来机会.

主要方法:

  • 基于人工智能的机器学习潜力用于模拟动态.
  • 以人工智能为指导的解释性来理解模拟结果.
  • 生成型人工智能用于预测动态行为.

主要成果:

  • 人工智能能够实现现实的多尺度动态建模.
  • 在相变和塑性变形中显示的AI应用.
  • 人工智能加速了对材料属性的预测.

结论:

  • 人工智能为材料科学提供了一个变革性的框架.
  • 由人工智能驱动的工具可以探测原子级动力学.
  • 未来的AI开发将加速下一代材料的设计.