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相关概念视频

Predicting Reaction Outcomes02:24

Predicting Reaction Outcomes

8.3K
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,...
8.3K
Chemical Reactions02:26

Chemical Reactions

9.9K
A balanced chemical equation provides the information of chemical formulas of the reactants and products involved in the chemical change. A reaction’s stoichiometry helps predict how much of the reactant is needed to produce the desired amount of product, or in some cases, how much product will be formed from a specific amount of the reactant.
The relative amounts of reactants and products represented in a balanced chemical equation are often referred to as stoichiometric amounts.
9.9K
Measuring Reaction Rates03:09

Measuring Reaction Rates

25.0K
Polarimetry finds application in chemical kinetics to measure the concentration and reaction kinetics of optically active substances during a chemical reaction. Optically active substances have the capability of rotating the plane of polarization of linearly polarized light passing through them—a feature called optical rotation. Optical activity is attributed to the molecular structure of substances. Normal monochromatic light is unpolarized and possesses oscillations of the electrical...
25.0K
Reaction Rate02:53

Reaction Rate

52.1K
The rate of reaction is the change in the amount of a reactant or product per unit time. Reaction rates are therefore determined by measuring the time dependence of some property that can be related to reactant or product amounts. Rates of reactions that consume or produce gaseous substances, for example, are conveniently determined by measuring changes in volume or pressure.
The mathematical representation of the change in the concentration of reactants and products, over time, is the rate...
52.1K
Calculating Equilibrium Concentrations02:05

Calculating Equilibrium Concentrations

47.9K
Being able to calculate equilibrium concentrations is essential to many areas of science and technology—for example, in the formulation and dosing of pharmaceutical products. After a drug is ingested or injected, it is typically involved in several chemical equilibria that affect its ultimate concentration in the body system of interest. Knowledge of the quantitative aspects of these equilibria is required to compute a dosage amount that will solicit the desired therapeutic effect.
A more...
47.9K
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

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相关实验视频

Updated: Jun 28, 2025

Collecting Variable-concentration Isothermal Titration Calorimetry Datasets in Order to Determine Binding Mechanisms
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Collecting Variable-concentration Isothermal Titration Calorimetry Datasets in Order to Determine Binding Mechanisms

Published on: April 7, 2011

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顺序:化学反应数据的数据集和基准.

Daniel S Wigh1, Joe Arrowsmith1, Alexander Pomberger1

  • 1Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, U.K.

Journal of chemical information and modeling
|April 22, 2024
PubMed
概括

我们介绍了ORDerly,这是一个开源的Python包,用于准备化学反应数据. 该工具确保了机器学习的可重复数据集,这对于推进药物发现和化学研究至关重要.

科学领域:

  • 化学 化学 化学
  • 生命科学 生命科学
  • 机器学习 机器学习

背景情况:

  • 机器学习 (ML) 在生命科学中为加速新分子发现和产品开发提供了巨大的潜力.
  • 高质量的,开源的化学反应数据集很少,这阻碍了强大的ML模型的训练.
  • 现有的反应数据通常需要进行广泛的清洁和标准化,以实现可靠的ML应用.

研究的目的:

  • 为了介绍ORDerly,一个开源的Python包,用于准备化学反应数据.
  • 为了使可定制和可重复的数据准备符合开放反应数据库 (ORD) 方案.
  • 为反应预测任务生成基准数据集并评估ML模型性能.

主要方法:

  • 开发了ORDerly,这是一个用于处理化学反应数据的Python包.
  • 使用ORDerly根据ORD模式清理和结构化美国专利数据.
  • 为前预测,回归合成和反应条件预测生成的数据集.
  • 训练有素的神经网络和变压器用于使用生成的数据集进行预测任务.

主要成果:

  • 证明不完整的数据清理可能导致ML性能指标膨胀.
  • 建立了反应条件预测的第一个基准.

更多相关视频

A Simple, Low-cost, and Robust System to Measure the Volume of Hydrogen Evolved by Chemical Reactions with Aqueous Solutions
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A Simple, Low-cost, and Robust System to Measure the Volume of Hydrogen Evolved by Chemical Reactions with Aqueous Solutions

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Optimization of Radiochemical Reactions using Droplet Arrays
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Optimization of Radiochemical Reactions using Droplet Arrays

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相关实验视频

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Collecting Variable-concentration Isothermal Titration Calorimetry Datasets in Order to Determine Binding Mechanisms
10:04

Collecting Variable-concentration Isothermal Titration Calorimetry Datasets in Order to Determine Binding Mechanisms

Published on: April 7, 2011

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A Simple, Low-cost, and Robust System to Measure the Volume of Hydrogen Evolved by Chemical Reactions with Aqueous Solutions
06:32

A Simple, Low-cost, and Robust System to Measure the Volume of Hydrogen Evolved by Chemical Reactions with Aqueous Solutions

Published on: August 17, 2016

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Optimization of Radiochemical Reactions using Droplet Arrays
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Optimization of Radiochemical Reactions using Droplet Arrays

Published on: February 12, 2021

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  • 展示了非专利数据的实用性,用于评估前向和逆向合成预测模型的概括性.
  • 突出了数据质量对化学ML模型可靠性的影响.
  • 结论:

    • ORDERly提供了一个可定制的开源解决方案,用于准备大型化学反应数据集.
    • 该软件包促进了可重复的研究,并促进了化学中的ML应用.
    • 确保严格的数据清理对于准确的ML模型评估在化学反应预测中至关重要.