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

Response Surface Methodology01:16

Response Surface Methodology

129
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
129
Reaction Quotient02:35

Reaction Quotient

48.5K
The status of a reversible reaction is conveniently assessed by evaluating its reaction quotient (Q). For a reversible reaction described by m A + n B ⇌ x C + y D, the reaction quotient is derived directly from the stoichiometry of the balanced equation as
48.5K
Optimizing Chromatographic Separations01:15

Optimizing Chromatographic Separations

395
Optimizing chromatographic separations is crucial for obtaining clean separations in a minimum amount of time. Optimization is required for several factors, including kinetic effects related to band broadening, plate height, capacity factor, and separation factor.
Band broadening refers to spreading solute bands as they travel through the column. This broadening can impact resolution. Plate height (H) represents the length required for one theoretical plate. A lower plate height corresponds to...
395
Bandpass Sampling01:17

Bandpass Sampling

179
In signal processing, bandpass sampling is an effective technique for sampling signals that have most of their energy concentrated within a narrow frequency band. This type of signal is known as a bandpass signal. The key principle of bandpass sampling involves sampling the signal at a rate that is greater than twice the signal's bandwidth to prevent aliasing.
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2....
179
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

54
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
54
Column Efficiency: Rate Theory01:12

Column Efficiency: Rate Theory

332
The rate theory of chromatography provides quantitative insight into the shapes and widths of elution bands. These bands are based on the random-walk mechanism governing molecular migration within a column. The Gaussian profile of chromatographic bands arises from the cumulative effect of random molecular motions as they progress through the column.
During elution, a solute molecule experiences numerous transitions between stationary and mobile phases, exhibiting irregular residence times in...
332

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

Strain-Engineered Ultrafast Spin Dynamics Revealing Decoupled Magnetization and Heat Transport in SrRuO<sub>3</sub> Membranes for Flexible Spintronics.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

PCET-Enabled Decarboxylative Oxygenation Promoted by Photoexcited Nitroarenes.

Chem·2026
Same author

Corrigendum to Efficacy of a fibrin sealant (Tissucol Duo®) for the prevention of lymphocele after laparoscopic pelvic lymphadenectomy: a randomised controlled trial.

Journal of minimally invasive gynecology·2026
Same author

VMP1 forms a Ca<sup>2+</sup> release channel essential for postnatal heartbeat.

Science advances·2026
Same author

Ultrasound-sensitive microrobotic sensor with robust anchoring for long-term digestive lesion assessment.

National science review·2026
Same author

Microswarm bridging effect for dual-surface biofilm eradication in submillimeter infection pockets.

Science advances·2026

相关实验视频

Updated: Jul 2, 2025

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology
06:24

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology

Published on: December 15, 2017

10.1K

通过强盗优化识别一般反应条件

Jason Y Wang1,2, Jason M Stevens3, Stavros K Kariofillis1,2,4

  • 1Department of Chemistry, Princeton University, Princeton, NJ, USA.

Nature
|February 28, 2024
PubMed
概括

研究人员开发了一种强化学习强盗优化模型,以有效地发现一般适用的反应条件. 这种人工智能方法显著提高了化学合成的最佳条件的准确性,减少了实验选.

更多相关视频

Author Spotlight: Optimization of Processing Technology for Tiebangchui with Zanba Based on CRITIC Combined with Box-Behnken Response Surface Method
09:16

Author Spotlight: Optimization of Processing Technology for Tiebangchui with Zanba Based on CRITIC Combined with Box-Behnken Response Surface Method

Published on: May 12, 2023

1.1K
Stepwise Dosing Protocol for Increased Throughput in Label-Free Impedance-Based GPCR Assays
06:13

Stepwise Dosing Protocol for Increased Throughput in Label-Free Impedance-Based GPCR Assays

Published on: February 21, 2020

6.6K

相关实验视频

Last Updated: Jul 2, 2025

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology
06:24

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology

Published on: December 15, 2017

10.1K
Author Spotlight: Optimization of Processing Technology for Tiebangchui with Zanba Based on CRITIC Combined with Box-Behnken Response Surface Method
09:16

Author Spotlight: Optimization of Processing Technology for Tiebangchui with Zanba Based on CRITIC Combined with Box-Behnken Response Surface Method

Published on: May 12, 2023

1.1K
Stepwise Dosing Protocol for Increased Throughput in Label-Free Impedance-Based GPCR Assays
06:13

Stepwise Dosing Protocol for Increased Throughput in Label-Free Impedance-Based GPCR Assays

Published on: February 21, 2020

6.6K

科学领域:

  • 化学合成
  • 化学中的人工智能
  • 反应优化

背景情况:

  • 制药和化学工业发展广泛适用的反应条件至关重要.
  • 在优化过程中有效地发现这些一般条件仍然是一个挑战.

研究的目的:

  • 设计,实施和应用强化学习强盗优化模型,以确定一般适用的反应条件.
  • 提高发现最佳化学反应参数的效率和准确性.

主要方法:

  • 使用强化学习强制优化模型进行有效的条件采样和反评估.
  • 使用现有数据集与最先进的优化方法进行基准性能测试.
  • 实验验证了模型的催化伊米达C-H化,氨酸合和基化反应.

主要成果:

  • 强盗优化模型在识别一般反应条件方面表现出很高的准确性,比基线方法提高了多达31%.
  • 成功确定了三种不同的化学反应的普遍适用和不足研究的条件.
  • 通过在每种情况下探索不到15%的专家设计的反应空间来确定最佳条件.

结论:

  • 强化学习盗优化为发现普遍适用的反应条件提供了强大而有效的策略.
  • 这种人工智能驱动的方法显著加速了化学合成的优化过程.
  • 该模型显示了各种反应类型的实用性和广泛适用性.