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Your search keyword '"Chi-Hui Tsai"' showing total 3 results
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3 results on '"Chi-Hui Tsai"'

1. Novel ambiphilic dichlorocarbenoid equivalent in alkene cyclopropanation and carbonyl olefination

Author

Ching-Ting Chien, Chia-Chung Tsai, Chi-Hui Tsai, Tsai-Yuan Chang, Ping-Kuei Tsai, Ying-Chuan Wang, and Tu-Hsin Yan

Subjects
Titanium compounds -- Structure, Titanium compounds -- Chemical properties, Magnesium compounds -- Structure, Magnesium compounds -- Chemical properties, Carbonyl compounds -- Structure, Carbonyl compounds -- Chemical properties, Biological sciences, Chemistry
Abstract

The Ti-Mg-dichloromethylene complexes derived from the oxidative addition of C[CI.sub.4] to the Mg-Ti[CI.sub.4] bimetallic species serve as a novel class of ambiphilic dichlorocarbenoid equivalents. Ti-Mg-dichlorocarbenoid is highly selective and also, it seems highly reactive in both alkene cyclopropanations and carbonyl dichloromethylenations.

Published
2006

2. Novel ambiphilic dichlorocarbenoid equivalent in alkene cyclopropanation and carbonyl olefination

Author

Chia-Chung Tsai, Chi-Hui Tsai, Tu-Hsin Yan, Ching-Ting Chien, Ying-Chuan Wang, Ping-Kuei Tsai, and Tsai-Yuan Chang

Subjects
chemistry.chemical_classification, Ketone, chemistry, Alkene, Cyclopropanation, Organic Chemistry, Organic chemistry, General Medicine, Selectivity, Highly selective, Combinatorial chemistry, Bimetallic strip, Oxidative addition
Abstract

The Ti−Mg−dichloromethylene complexes derived from the oxidative addition of CCl4 to the Mg−TiCl4 bimetallic species serve as a novel class of ambiphilic dichlorocarbenoid equivalents. Not only is Ti−Mg−dichlorocarbenoid highly selective but also it seems highly reactive in both alkene cyclopropanations and carbonyl dichloromethylenations.

Published
2006

3. A Biological Swarm Chasing Algorithm for Tracking the PV Maximum Power Point.

Author

Liang-Rui Chen, Chi-Hui Tsai, Yuan-Li Lin, and Yen-Shin Lai

Subjects
*PHOTOVOLTAIC power generation, *PARTICLE swarm optimization, *SWARM intelligence, *CELLULAR automata, *ELECTRIC power production
Abstract

In this paper, a novel photovoltaic (PV) maximum power point tracking (MPPT) based on biological swarm chasing behavior is proposed to increase the MPPT performance for a module-integrated PV power system. Each PV module is viewed as a particle, and as a result, the maximum power point is viewed as the moving target. Thus, every PV module can chase the maximum power point (MPP) automatically. A 525 W prototype constructed by three parallel-connected 175 W PV modules is implemented to assess the MPPT performance. Comparing with a typical perturb and observe (P&O) MPPT method, the MPPT efficiency ηMPPT is improved about 12.19% in transient state by the proposed MPPT as theoretical prediction. [ABSTRACT FROM AUTHOR]

Published
2010
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