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Catalysis02:50

Catalysis

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The presence of a catalyst affects the rate of a chemical reaction. A catalyst is a substance that can increase the reaction rate without being consumed during the process. A basic comprehension of a catalysts’ role during chemical reactions can be understood from the concept of reaction mechanisms and energy diagrams.
30.0K
Turnover Number and Catalytic Efficiency01:19

Turnover Number and Catalytic Efficiency

19.9K
The turnover number of an enzyme is the maximum number of substrate molecules it can transform per unit time. Turnover numbers for most enzymes range from 1 to 1000 molecules per second. Catalase has the known highest turnover number, capable of converting up to 2.8×106 molecules of hydrogen peroxide into water and oxygen per second. Lysozyme has the lowest known turnover number of half a molecule per second.
Chymotrypsin is a pancreatic enzyme that breaks down proteins during digestion....
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Olefin Metathesis Polymerization: Acyclic Diene Metathesis (ADMET)00:53

Olefin Metathesis Polymerization: Acyclic Diene Metathesis (ADMET)

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Acyclic diene metathesis polymerization or ADMET polymerization involves cross-metathesis of terminal dienes, such as 1,8-nonadiene, to give linear unsaturated polymer and ethylene. As ADMET is a reversible process, the formed ethylene gas must be removed from the reaction mixture to complete the polymerization process.
Similar to cross-metathesis, ADMET also involves the formation of metallacyclobutane intermediate by [2+2] cycloaddition of one of the double bonds of a terminal diene with...
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Reduction of Alkenes: Asymmetric Catalytic Hydrogenation02:17

Reduction of Alkenes: Asymmetric Catalytic Hydrogenation

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Catalytic hydrogenation of alkenes is a transition-metal catalyzed reduction of the double bond using molecular hydrogen to give alkanes. The mode of hydrogen addition follows syn stereochemistry.
The metal catalyst used can be either heterogeneous or homogeneous. When hydrogenation of an alkene generates a chiral center, a pair of enantiomeric products is expected to form. However, an enantiomeric excess of one of the products can be facilitated using an enantioselective reaction or an...
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Reduction of Alkenes: Catalytic Hydrogenation02:13

Reduction of Alkenes: Catalytic Hydrogenation

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Alkenes undergo reduction by the addition of molecular hydrogen to give alkanes. Because the process generally occurs in the presence of a transition-metal catalyst, the reaction is called catalytic hydrogenation.
Metals like palladium, platinum, and nickel are commonly used in their solid forms — fine powder on an inert surface. As these catalysts remain insoluble in the reaction mixture, they are referred to as heterogeneous catalysts.
The hydrogenation process takes place on the...
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Oxidation of Alkenes: Syn Dihydroxylation with Osmium Tetraoxide02:44

Oxidation of Alkenes: Syn Dihydroxylation with Osmium Tetraoxide

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Alkenes are converted to 1,2-diols or glycols through a process called dihydroxylation. It involves the addition of two hydroxyl groups across the double bond with two different stereochemical approaches, namely anti and syn. Dihydroxylation using osmium tetroxide progresses with syn stereochemistry.
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Updated: Jan 7, 2026

Fabrication and Testing of Catalytic Aerogels Prepared Via Rapid Supercritical Extraction
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Fabrication and Testing of Catalytic Aerogels Prepared Via Rapid Supercritical Extraction

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甲催化剂设计的数据驱动氧化合的自动化特征工程和模型聚合.

Fernando Garcia-Escobar1, Aya Fujiwara2, Toshiaki Taniike2

  • 1Department of Chemistry, Hokkaido University, North 10, West 8, Sapporo 060-0810, Japan.

ACS applied materials & interfaces
|December 25, 2025
PubMed
概括

机器学习通过预测活动来加速甲氧化合 (OCM) 的催化剂设计. 这项研究确定了三种新的金属支组合,可以实现超过20%的C2产量,优化催化剂的发现.

关键词:
催化剂的设计设计催化剂 信息学 信息学功能选择 功能选择高通量试验的实验.甲的氧化合.

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科学领域:

  • 催化剂是一种催化剂.
  • 材料科学 材料科学 材料科学
  • 化学工程是化学工程的重要组成部分.
  • 机器学习应用 机器学习应用

背景情况:

  • 在甲氧化合 (OCM) 催化中识别活性物种和机制至关重要,但由于对催化剂性质和反应条件的复杂依赖性而具有挑战性.
  • 在OCM运行过程中,催化剂的现场表征通常是不可行的,这阻碍了机械的理解和合理的催化剂设计.
  • 机器学习 (ML) 提供了一种有前途的方法,可以根据催化剂成分和操作参数预测催化剂活动,从而帮助发现新材料.

研究的目的:

  • 开发和应用基于ML的框架,以发现具有高活性的新型金属支催化剂组合,用于甲氧化合 (OCM).
  • 利用编码活性金属和支持信息的工程组合特征,以提高回归模型性能.
  • 为了确定在OCM反应中表现出优异的C2产量,特定的金属支配方.

主要方法:

  • 创建了工程组合特征,以代表活性金属组件和潜在催化剂的支材料.
  • 通过使用这些工程特征来预测OCM催化活性,汇总了多重回归模型.
  • 在大型材料空间中进行了系统的搜索,以确定有前途的催化剂候选者.

主要成果:

  • 三种金属支组合,即 (Na, K, W) /CeO2, (Cs, Ba, W) /TiO2和 (Na, Cs, W) /SiO2,被确定为OCM的高度活性.
  • 这些已识别的催化剂的C2产量超过了20%,这表明了显著的性能.
  • 该研究成功地证明了自动化框架在发现活性催化剂配方方面的有效性.

结论:

  • 开发的ML框架,结合工程特征,有效地加速了高性能OCM催化剂的发现.
  • 已确定的催化剂配方代表了进一步研究和优化甲转化中的有希望的候选者.
  • 这种方法突显了自动化特征生成和基于机器学习的选在催化中探索广材料空间的潜力.