Artificial Neural Networks in Chemical Kinetics

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F11%3A00059305" target="_blank" >RIV/00216224:14310/11:00059305 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Artificial Neural Networks in Chemical Kinetics
Original language description
Chemical research is nowadays more and more devoted toward the comprehension of chemical systems of high complexity, such as environmental or industrial ones. The usual experimental investigation of such systems requires a deep knowledge about their microscopic structure; expecially in order to estimate parameters as kinetic rate constants or stability ones. The information obtained from such studies is extremely useful expecially in industrial applications to establish optimal operation conditions. Even with the aid of sophisticated computer programs, based, for example, on general least-squares algorithms, the study of complex chemical systems in terms of detailed mechanism and kinetics is still a hard work because, to estimate values of parameters,it is necessary to know and solve the whole system of equations (differential ones in kinetics) governing the system [1]. The main task of chemical kinetics is the estimation of mechanism, rate constants and the factors affecting them.
Czech name
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Czech description
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Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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