scholarly journals N-Metallacycles from [Cp*MX2]2and Alkynylpyridines: Synthesis, Reaction Pathway, and Aromaticity

2014 ◽  
Vol 33 (5) ◽  
pp. 1174-1180 ◽  
Author(s):  
Jing Wei Teo ◽  
Venugopal Shanmugham Sridevi ◽  
Weng Kee Leong
2002 ◽  
Vol 106 (11) ◽  
pp. 2748-2752 ◽  
Author(s):  
Li Jie Wang ◽  
Peter Warburton ◽  
Paul G. Mezey

2021 ◽  
Vol 22 (0) ◽  
pp. 1-7
Author(s):  
Eri Maeyama ◽  
Toru Yamaguchi ◽  
Michinori Sumimoto ◽  
Kenji Hori

2001 ◽  
Vol 22 (13) ◽  
pp. 1334-1339 ◽  
Author(s):  
Li Jie Wang ◽  
Se Li ◽  
Qian Shu Li

2019 ◽  
Author(s):  
M. Alexander Ardagh ◽  
Manish Shetty ◽  
Anatoliy Kuznetsov ◽  
Qi Zhang ◽  
Phillip Christopher ◽  
...  

Catalytic enhancement of chemical reactions via heterogeneous materials occurs through stabilization of transition states at designed active sites, but dramatically greater rate acceleration on that same active site is achieved when the surface intermediates oscillate in binding energy. The applied oscillation amplitude and frequency can accelerate reactions orders of magnitude above the catalytic rates of static systems, provided the active site dynamics are tuned to the natural frequencies of the surface chemistry. In this work, differences in the characteristics of parallel reactions are exploited via selective application of active site dynamics (0 < ΔU < 1.0 eV amplitude, 10<sup>-6</sup> < f < 10<sup>4</sup> Hz frequency) to control the extent of competing reactions occurring on the shared catalytic surface. Simulation of multiple parallel reaction systems with broad range of variation in chemical parameters revealed that parallel chemistries are highly tunable in selectivity between either pure product, even when specific products are not selectively produced under static conditions. Two mechanisms leading to dynamic selectivity control were identified: (i) surface thermodynamic control of one product species under strong binding conditions, or (ii) catalytic resonance of the kinetics of one reaction over the other. These dynamic parallel pathway control strategies applied to a host of chemical conditions indicate significant potential for improving the catalytic performance of many important industrial chemical reactions beyond their existing static performance.


2018 ◽  
Author(s):  
Yasemin Basdogan ◽  
John Keith

<div> <div> <div> <p>We report a static quantum chemistry modeling treatment to study how solvent molecules affect chemical reaction mechanisms without dynamics simulations. This modeling scheme uses a global optimization procedure to identify low energy intermediate states with different numbers of explicit solvent molecules and then the growing string method to locate sequential transition states along a reaction pathway. Testing this approach on the acid-catalyzed Morita-Baylis-Hillman (MBH) reaction in methanol, we found a reaction mechanism that is consistent with both recent experiments and computationally intensive dynamics simulations with explicit solvation. In doing so, we explain unphysical pitfalls that obfuscate computational modeling that uses microsolvated reaction intermediates. This new paramedic approach can promisingly capture essential physical chemistry of the complicated and multistep MBH reaction mechanism, and the energy profiles found with this model appear reasonably insensitive to the level of theory used for energy calculations. Thus, it should be a useful and computationally cost-effective approach for modeling solvent mediated reaction mechanisms when dynamics simulations are not possible. </p> </div> </div> </div>


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