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

The Integrated Rate Law: The Dependence of Concentration on Time02:39

The Integrated Rate Law: The Dependence of Concentration on Time

35.5K
While the differential rate law relates the rate and concentrations of reactants, a second form of rate law called the integrated rate law relates concentrations of reactants and time. Integrated rate laws can be used to determine the amount of reactant or product present after a period of time or to estimate the time required for a reaction to proceed to a certain extent. For example, an integrated rate law helps determine the length of time a radioactive material must be stored for its...
35.5K
Rate-Determining Steps03:08

Rate-Determining Steps

32.9K
Relating Reaction Mechanisms
In a multistep reaction mechanism, one of the elementary steps progresses significantly slower than the others. This slowest step is called the rate-limiting step (or rate-determining step). A reaction cannot proceed faster than its slowest step, and hence, the rate-determining step limits the overall reaction rate.
The concept of rate-determining step can be understood from the analogy of a 4-lane freeway with a short-stretch of traffic-bottleneck caused due to...
32.9K
BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

447
System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
447
Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

559
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
559
Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

738
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
738
Entropy Change in Reversible Processes01:10

Entropy Change in Reversible Processes

2.6K
In the Carnot engine, which achieves the maximum efficiency between two reservoirs of fixed temperatures, the total change in entropy is zero. The observation can be generalized by considering any reversible cyclic process consisting of many Carnot cycles. Thus, it can be stated that the total entropy change of any ideal reversible cycle is zero.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
2.6K

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

Multiplexed Crossbar GFET Array With BioADC for Multi-Modal Aptamer-Based Sensing.

IEEE transactions on biomedical circuits and systems·2026
Same author

Convergence is not correctness: context-dependent performance of enhanced-sampling methods across biological complexity.

Nature communications·2026
Same author

Use of AI agents to assess preoperative frailty in cancer patients.

npj digital surgery·2026
Same author

Lifetime cumulative effect of reproductive factors, "Life's essential 8" health status and risk of chronic kidney disease: a nationwide prospective cohort study.

BMC public health·2026
Same author

ELN orchestrates prometastatic and immunosuppressive niche in bladder cancer via TGFB1 autocrine signaling.

JCI insight·2026
Same author

Cortical and Cortico-Muscular Network Modulation Pattern of Eccentric and Concentric Movements in Fatigue State.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
Same journal

Kinetic and Mechanistic Insights into H-Abstraction and Subsequent Isomerization and Decomposition of Monoglyme and Key Combustion Intermediates.

The journal of physical chemistry. A·2026
Same journal

First-Principles Analysis of Protonation-Induced Electronic Effects in Tetrakis(<i>p</i>-aminophenyl)porphyrin (TAPP).

The journal of physical chemistry. A·2026
Same journal

Exploring the Reactivity of the CH Radical toward Nitrous Oxide in the Context of the Interstellar Medium.

The journal of physical chemistry. A·2026
Same journal

Infrared Photodissociation Spectroscopy of Benzene-V<sup>+</sup>(CO)<sub>n</sub> "Piano Stool" Cations.

The journal of physical chemistry. A·2026
Same journal

Correction to "Solvent-Dependent Ultrafast Photochemical Dynamics of <i>N</i>-Methyl Oxindole Overcrowded Alkene Molecular Motors".

The journal of physical chemistry. A·2026
Same journal

Accelerating the Discovery of Superhalogens via Physics-Informed Graph Neural Networks.

The journal of physical chemistry. A·2026
查看所有相关文章

相关实验视频

Updated: Jul 25, 2025

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

10.0K

在过渡率估计中解决嵌入性问题

Curtis Goolsby1, James Losey1, Ashkan Fakharzadeh2

  • 1Department of Chemistry and Biochemistry, University of Arkansas, Fayetteville, Arkansas 72701, United States.

The journal of physical chemistry. A
|June 28, 2023
PubMed
概括
此摘要是机器生成的。

本研究引入了一种新方法来解决模拟分子动力学 (MD) 的马尔科夫状态模型 (MSM) 分析中的嵌入性问题,改进了动力学和热力学数据的提取.

更多相关视频

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

607
Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions
11:22

Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions

Published on: January 30, 2018

10.1K

相关实验视频

Last Updated: Jul 25, 2025

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

10.0K
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

607
Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions
11:22

Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions

Published on: January 30, 2018

10.1K

科学领域:

  • 计算化学计算化学
  • 生物物理学的生物物理.
  • 分子动力学模拟模型

背景情况:

  • 马尔科夫状态模型 (MSM) 对于分析分子动力学 (MD) 模拟,从蛋白质中提取热力学和动力学数据至关重要.
  • 传统的MSM分析依赖于过渡矩阵的光谱分解,这可能是计算密集的.
  • 另一种方法使用速率/发电机矩阵,但面临着"嵌入性问题".

研究的目的:

  • 介绍一种替代方法来从MD模拟中的速率/发电机矩阵中提取热力学和动力学信息.
  • 引入一种新的解决方案,以嵌入性问题固有的速率/发电机矩阵方法.
  • 评估现有和新型算法的性能和稳定性,以解决嵌入性问题.

主要方法:

  • 利用了来自MD模拟的经验过渡矩阵的速率/发电机矩阵.
  • 开发并实施了一种新的方法来克服嵌入性问题.
  • 在1D玩具模型上收集并测试现有算法与新方法一起.

主要成果:

  • 使用速率/发电机矩阵提取热力学和动力学信息的可行性.
  • 通过一种新的计算方法成功解决了嵌入性问题.
  • 使用模拟数据,根据延迟时间和轨迹长度评估各种方法的稳定性.

结论:

  • 速率/发电机矩阵为MD模拟中的动力学和热力学分析提供了可行的替代方案,特别是在扩散过程中.
  • 这种新方法有效地解决了嵌入性问题,增强了速率/发电机矩阵方法的实用性.
  • 该研究提供了对MSM分析算法的全面评估,指导了未来计算生物物理学研究.