Plotting phase portraits of oscillatory chemical reactions based on experimental data

1989 ◽  
Vol 24 (4) ◽  
pp. 474-477
Author(s):  
K. B. Yatsimirskii
2020 ◽  
Author(s):  
Kobi Felton ◽  
Daniel Wigh ◽  
Alexei Lapkin

Recent work has shown how Bayesian optimization (BO) is an efficient method for optimizing expensive experiments such as chemical reactions. However, in previous studies, each optimization has been started from scratch with no information about previous or similar chemical optimization studies. Therefore, BO can still require more iterations than many experimental budgets provide. Here, we overcome this challenge using multi-task BO. Through<i> in silico</i> benchmarking studies, we show how past experimental data can be leveraged to improve the quality and speed of reaction optimization.


Nature ◽  
1978 ◽  
Vol 273 (5661) ◽  
pp. 371-372 ◽  
Author(s):  
E. KÖRÖS ◽  
M. ORBÁN

1961 ◽  
Vol 34 (2) ◽  
pp. 588-599 ◽  
Author(s):  
G. A. Blokh ◽  
Ch. L. Melamed

Abstract The experimental data collected on the interaction of active centers of carbon black with the rubber on the one hand and of the active centers of carbon black with the sulfur and accelerators, and also with the antioxidants, on the other hand, provide a sound basis for belief that the problem of reinforcement of rubber by active fillers in the process of vulcanization cannot be explained from the physical aspect alone. The facts indicate the considerable importance of the chemical reactions between the active groups of carbon black and the compounding ingredients in the course of vulcanization.


1976 ◽  
Vol 56 (3) ◽  
pp. 724-740 ◽  
Author(s):  
Y. Kuramoto ◽  
T. Yamada

2010 ◽  
Vol 114 (30) ◽  
pp. 7903-7911 ◽  
Author(s):  
Katarzyna Pekala ◽  
Albin Wiśniewski ◽  
Rafał Jurczakowski ◽  
Tomasz Wiśniewski ◽  
Małgorzata Wojdyga ◽  
...  

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