Neural network and genetic algorithm aided combinatorial catalysis tool using 96-well microplate system - Optimization of cu catalyst for methanol synthesis at 1MPa

被引:0
|
作者
Omata, K [1 ]
Umegaki, T [1 ]
Watanabe, Y [1 ]
Hashimoto, M [1 ]
Yamada, M [1 ]
机构
[1] Tohoku Univ, Grad Sch Engn, Dept Appl Chem, Aoba Ku, Sendai, Miyagi 9808579, Japan
来源
7TH WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL VIII, PROCEEDINGS | 2003年
关键词
neural network; genetic algorithm; combinatorial catalysis; 96-well microplate; high-tbroughput screening; methanol synthesis;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Recently combinatonal approach to catalyst development and optimization attracts much attention. We developed combinatorial tool based on 96-well microplate system to optimize Cu catalyst for methanol synthesis from syngas at 1MPa. After the catalysts were prepared in 96-deep well microplate by co-precipitation using liquid handler, they were arranged in 96-well microplate made of aluminum placed in high pressure HTS reactor Produced methanol was detected by 96-well microphite reader After neural network mapped the activity as a function of catalyst component optimization was successfully performed using genetic algorithm. The Cu catalyst was optimized for high CO2 tolerance.
引用
收藏
页码:311 / 314
页数:4
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