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Neural Network and Genetic Algorithm Aided Combinatorial Catalysis Tool Using 96-Well Microplate System - Optimization of Cu Catalyst for Methanol Synthesis at IMPa

机译：Neural网络和遗传算法辅助组合催化工具使用96孔微孔体系 - 优化Cu催化剂对Impa的甲醇合成优化

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Recently combinatorial 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 IMPa After the catalysts were prepared in 96-deep well microplate by co-precipitation using liquid handles they were arranged in 96-weE microplate made of aluminum placed in high pressure HTS reactor. Produced methanol was detected by 96-well microplate 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 C02 tolerance.

机译：最近，组合方法催化剂的发展和优化引起了很多关注。我们开发了基于96孔微孔板系统的组合工具，以优化在通过使用液体手柄中的96-深良好的微孔板制备催化剂后，在96微孔微孔板中优化甲醇合成的甲醇合成的Cu催化剂。铝置于高压HTS反应器中。通过96孔微孔板读卡器检测产生的甲醇。在神经网络映射活动作为催化剂组分的函数之后，使用遗传算法成功进行了优化。 Cu催化剂针对高CO 2的耐受性进行了优化。

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《World Multiconference on Systemics, Cybernetics and Informatics》|2003年||共4页
会议地点
作者
Kohji OMATA; Tetsuo UMEGAM; Yufasuke WATANABE; Masahiko HASHIMOTO; Muneyoshi YAMADA;
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中图分类计算技术、计算机技术;
关键词
Neural Network; Genetic Algorithm; Combinatorial Catalysis; 96-Well Microplate; High-Throughput Screening; Methanol Synthesis;

机译：神经网络;遗传算法;组合催化;96孔微孔板;高通量筛选;甲醇合成;

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专利

1. Optimization of Catalyst for Methanol Synthesis by a Combinatorial Approach Using a Parallel Activity Test and Genetic Algorithm Assisted by a Neural Network [J] . Tetsuo Umegaki, Yuhsuke Watanabe, Noritoshi Nukui, Energy & fuels . 2003,第4期

机译：并行活性试验和神经网络辅助遗传算法的组合法优化甲醇合成催化剂。
2. Optimization of Cu oxide catalyst for methanol synthesis under high CO_2 partial pressure using combinatorial tools [J] . Kohji Omata, Masahiko Hashimoto, Yuhsuke Watanabe Applied Catalysis, A. General: An International Journal Devoted to Catalytic Science and Its Applications . 2004,第2期

机译：使用组合工具优化高CO_2分压下合成甲醇的Cu氧化物催化剂
3. Optimization of Cu oxide catalyst for methanol synthesis under high CO_2 partial pressure using combinatorial tools [J] . Kohji Omata, Masahiko Hashimoto, Yuhsuke Watanabe Applied Catalysis, A. General: An International Journal Devoted to Catalytic Science and Its Applications . 2004,第2期

机译：使用组合工具优化高CO_2分压下合成甲醇的Cu氧化物催化剂
4. Neural Network and Genetic Algorithm Aided Combinatorial Catalysis Tool Using 96-Well Microplate System - Optimization of Cu Catalyst for Methanol Synthesis at IMPa [C] . Kohji OMATA, Tetsuo UMEGAM, Yufasuke WATANABE, World Multiconference on Systemics, Cybernetics and Informatics . 2003

机译：Neural网络和遗传算法辅助组合催化工具使用96孔微孔体系 - 优化Cu催化剂对Impa的甲醇合成优化
5. A hybrid artificial neural network/genetic algorithm approach to the on-line optimization of electrical power systems. [D] . Arjona-Arguelles, Diego. 1996

机译：电力系统在线优化的混合人工神经网络/遗传算法方法。
6. Optimization of cocoa butter analog synthesis variables using neural networks and genetic algorithm [O] . Hajar Shekarchizadeh, Reza Tikani, Mahdi Kadivar 2014

机译：使用神经网络和遗传算法优化可可脂模拟物合成变量
7. Optimization of Cu-Zn-Al Oxide Catalyst for Methanol Synthesis Using Genetic Algorithm and Neural Network as Its Evaluation Function. [O] . Kohji OMATA, Tetsuo UMEGAKI, Yuhsuke WATANABE, 2002

机译：遗传算法与神经网络甲醇合成Cu-Zn-Al氧化物催化剂的优化作为评价函数。
8. Hierarchical Neural Network Based Data Processing System for Ground- Penetrating Radar. An End of Year Report for CH/1049/6: Application of Neural Networks Coupled With Genetic Algorithms to Optimize Soil Cleanup Operations in Cold Climates [R] . Sullivan, J. M. 1997

机译：基于分层神经网络的探地雷达数据处理系统。 CH / 1049/6的年终报告：神经网络与遗传算法相结合的应用，以优化寒冷气候下的土壤清理作业

Neural Network and Genetic Algorithm Aided Combinatorial Catalysis Tool Using 96-Well Microplate System - Optimization of Cu Catalyst for Methanol Synthesis at IMPa

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