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

页码：311 / 314

页数：4