Computing the correlation between catalyst composition and its performance in the catalysed process

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F12%3A00383629" target="_blank" >RIV/67985807:_____/12:00383629 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.compchemeng.2012.04.001" target="_blank" >http://dx.doi.org/10.1016/j.compchemeng.2012.04.001</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.compchemeng.2012.04.001" target="_blank" >10.1016/j.compchemeng.2012.04.001</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Computing the correlation between catalyst composition and its performance in the catalysed process

Popis výsledku v původním jazyce

The methodology for computing correlations between continuous descriptors of catalytic materials and their performance in the catalysed process is addressed. Continuous descriptors are typically molar fractions of individual components of the catalyst, whereas the performance is represented most frequently by yield or selectivity of reaction products or conversion of key feed components. Measures of various kinds of correlation are recalled, and their descriptor-wise application to catalytic data for computing correlations between the composition and performance of catalysts is presented. The paper also compares the application of correlation measures to catalytic data on the one hand with the analysis of variance, on the other hand with the application of regression trees. As a case study, the presented approaches are applied to data from high-temperature synthesis of hydrocyanic acid.

Název v anglickém jazyce

Computing the correlation between catalyst composition and its performance in the catalysed process

Popis výsledku anglicky

The methodology for computing correlations between continuous descriptors of catalytic materials and their performance in the catalysed process is addressed. Continuous descriptors are typically molar fractions of individual components of the catalyst, whereas the performance is represented most frequently by yield or selectivity of reaction products or conversion of key feed components. Measures of various kinds of correlation are recalled, and their descriptor-wise application to catalytic data for computing correlations between the composition and performance of catalysts is presented. The paper also compares the application of correlation measures to catalytic data on the one hand with the analysis of variance, on the other hand with the application of regression trees. As a case study, the presented approaches are applied to data from high-temperature synthesis of hydrocyanic acid.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/GA201%2F08%2F0802" target="_blank" >GA201/08/0802: Aplikace metod znalostního inženýrství při dobývání znalostí z databází</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Computers and Chemical Engineering

ISSN

0098-1354

e-ISSN

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Svazek periodika

43

Číslo periodika v rámci svazku

10 August

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

13

Strana od-do

55-67

Kód UT WoS článku

000306209600006

EID výsledku v databázi Scopus

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