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A chemical reaction is a process by which the bonds in the atoms of substances are rearranged to generate new substances. Matter cannot be created or destroyed in a chemical reaction—the same type and number of atoms that make up the reactants are still present in the products. Merely, the rearrangement of chemical bonds produces new compounds.
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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.
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Chemical substances interact in many different ways. Certain chemical reactions exhibit common patterns of reactivity. Due to the vast number of chemical reactions, it becomes necessary to classify them based on the observed patterns of interaction.
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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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Chemical reactions require sufficient energy to cause the matter to collide with enough precision and force that old chemical bonds can be broken and new ones formed. In general, kinetic energy is the form of energy powering any type of matter in motion. Imagine a person building a brick wall. The energy it takes to lift and place one brick on top of another is the kinetic energy—the energy matter possesses because of its motion. Once the wall is in place, it stores potential energy.
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Optimización bayesiana para las reacciones químicas.

Stefan Desimpel1, Matthieu Dorbec2, Kevin M Van Geem3

  • 1SynBioC Research Group, Department of Green Chemistry and Technology, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, B-9000 Ghent, Belgium. chris.stevens@ugent.be.

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|February 10, 2026
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Resumen
Este resumen es generado por máquina.

La optimización bayesiana (BO) acelera la optimización de reacciones químicas complejas utilizando datos de manera eficiente. Esta revisión guía a los químicos en la aplicación de los fundamentos de BO, aspectos prácticos y diversas aplicaciones para estrategias químicas basadas en datos.

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Área de la Ciencia:

  • Química Química es la química.
  • Ingeniería Química Ingeniería Química.
  • Ciencia de datos Ciencia de datos.

Sus antecedentes:

  • La optimización de las reacciones químicas es compleja e intensiva en datos.
  • La optimización bayesiana (BO) ofrece un enfoque eficiente para los datos.
  • Los espacios de parámetros grandes y variables mixtas plantean desafíos.

Objetivo del estudio:

  • Proporcionar una introducción accesible a la optimización bayesiana para los químicos.
  • Para esbozar los fundamentos, consideraciones prácticas y aplicaciones de BO en química.
  • Para discutir las direcciones emergentes para acelerar la optimización química.

Principales métodos:

  • Revisión de los modelos sustitutos y las funciones de adquisición en BO.
  • Discusión del diseño del núcleo y la representación de variables categóricas.
  • Encuesta de aplicaciones de BO a través de varias escalas experimentales.

Principales resultados:

  • BO equilibra la exploración y la explotación para una optimización eficiente.
  • Se presentan estrategias prácticas para la optimización multiobjetivo y por lotes.
  • Las aplicaciones abarcan desde el cribado de alto rendimiento hasta los reactores de flujo automatizados.

Conclusiones:

  • La optimización bayesiana es una herramienta poderosa para la optimización de procesos químicos con eficiencia de datos.
  • Las tendencias emergentes como el aprendizaje de transferencia pueden acelerar aún más la optimización.
  • BO permite estrategias más generalizables y basadas en datos en química.