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Updated: May 13, 2025

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通过基因编程的自适应学习,加速设计芬顿式铜单原子催化剂

Haoyang Fu1, Ke Li1,2, Qingze Chen3

  • 1School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore.

Angewandte Chemie (International ed. in English)
|April 16, 2025
PubMed
概括

适应性学习遗传算法 (ALGA) 加快了高性能芬顿式单原子催化剂 (SAC) 的发现. 这种机器学习方法显著减少了优化所需的实验,优于传统方法.

关键词:
适应性学习遗传算法芬顿式反应是一种类似芬顿反应的反应.机器学习 机器学习控制污染的方法 控制污染的方法一个原子的催化剂.

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Catalytically Perfect Enzymes

The theory of catalytically perfect enzymes was first proposed by W.J. Albery and J. R. Knowles in 1976. These enzymes catalyze biochemical reactions at high-speed. Their catalytic efficiency values range from 108-109 M-1s-1. These enzymes are also called 'diffusion-controlled' as the only rate-limiting step in the catalysis is that of the substrate diffusion into the active site. Examples include triose phosphate isomerase, fumarase, and superoxide dismutase.
 
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