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相关概念视频

Predicting Reaction Outcomes02:24

Predicting Reaction Outcomes

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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,...
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Multi-Step Reactions02:31

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Chemical reactions often occur in a stepwise fashion involving two or more distinct reactions taking place in a sequence. A balanced equation indicates the reacting species and the product species, but it reveals no details about how the reaction occurs at the molecular level. The reaction mechanism (or reaction path) provides details regarding the precise, step-by-step process by which a reaction occurs. Each of the steps in a reaction mechanism is called an elementary reaction. These...
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Reaction Mechanisms03:06

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Chemical reactions often occur in a stepwise fashion, involving two or more distinct reactions taking place in a sequence. A balanced equation indicates the reacting species and the product species, but it reveals no details about how the reaction occurs at the molecular level. The reaction mechanism (or reaction path) provides details regarding the precise, step-by-step process by which a reaction occurs.
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Introduction to Chemical Reactions01:23

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All chemical reactions begin with a reactant, the general term for one or more substances entering the reaction. Sodium and chloride ions, for example, are the reactants in the production of table salt. One or more substances produced by a chemical reaction are called the product. Chemical reactions follow the law of conservation of mass, which means that matter cannot be created nor destroyed in a chemical reaction. The components of the reactants—the number of atoms and the...
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For many years, scientists thought that enzyme-substrate binding took place in a simple "lock-and-key" fashion. This model stated that the enzyme and substrate fit together perfectly in one instantaneous step. However, current research supports a more refined view scientists call induced fit. The induced-fit model expands upon the lock-and-key model by describing a more dynamic interaction between enzyme and substrate. As the enzyme and substrate come together, their interaction causes...
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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...
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使用反应数据库和主动学习,有效地探索反应途径.

Domantas Kuryla1, Gábor Csányi2, Adri C T van Duin3

  • 1Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, United Kingdom.

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概括

机器学习的原子间潜力 (MLIP) 加快化学反应模拟. 新的方法有效地使用反应路径数据训练MLIP,使未见反应和复杂系统的准确预测成为可能.

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科学领域:

  • 计算化学计算化学
  • 材料科学 材料科学 材料科学
  • 化学物理 化学物理

背景情况:

  • 化学反应的准确和快速模拟在计算化学中至关重要.
  • 机器学习原子间潜力 (MLIPs) 以降低计算成本提供接近量子力学的精度.
  • MLIP的业绩在很大程度上取决于其培训数据集的质量和相关性.

研究的目的:

  • 开发和演示使用反应路径信息培训反应性MLIP的新方法.
  • 为了能够准确地预测各种化学反应的反应路径和过渡状态.
  • 建立有效的方法来构建培训套件,以提高MLIP的准确性和可转移性.

主要方法:

  • 使用包含反应物,产品和过渡状态结构的数据集训练反应性MLIP.
  • 实施一种仅使用反应终点结构来训练MLIP的积极学习程序.
  • 根据基准量子力学计算和像ReaxFF这样的既定力场验证MLIP.

主要成果:

  • 使用反应数据集,准确预测SN2反应的反应路径和过渡状态.
  • 开发一种主动学习程序,可以预测反应障碍在参考方法的20 meV以内,即使数据有限.
  • 在复杂的核友芳香替代和质子转移反应中成功地应用了主动学习过程.

结论:

  • 基于反应通路数据,已经证明了训练反应性MLIP的两个有效策略.
  • 积极学习方法提供了一种数据效率高的方法,用于开发准确的MLIP,而不需要先前了解反应途径.
  • 这些方法有助于创建大型可转移的活性MLIP,用于各种化学模拟.