Closed-Loop Multitarget Optimization for Discovery of New Emulsion Polymerization Recipes

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F15%3A43900258" target="_blank" >RIV/60461373:22340/15:43900258 - isvavai.cz</a>

Výsledek na webu

<a href="http://pubs.acs.org/doi/10.1021/acs.oprd.5b00210" target="_blank" >http://pubs.acs.org/doi/10.1021/acs.oprd.5b00210</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1021/acs.oprd.5b00210" target="_blank" >10.1021/acs.oprd.5b00210</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Closed-Loop Multitarget Optimization for Discovery of New Emulsion Polymerization Recipes

Popis výsledku v původním jazyce

Self-optimization of chemical reactions enables faster optimization of reaction conditions or discovery of molecules with required target properties. The technology of self-optimization has been expanded to discovery of new process recipes for manufacture of complex functional products. A new machine-learning algorithm, specifically designed for multiobjective target optimization with an explicit aim to minimize the number of "expensive" experiments, guides the discovery process. This "black-box" approach assumes no a priori knowledge of chemical system and hence particularly suited to rapid development of processes to manufacture specialist lowvolume, high-value products. The approach was demonstrated in discovery of process recipes for a semibatch emulsion copolymerization, targeting a specific particle size and full conversion.

Název v anglickém jazyce

Closed-Loop Multitarget Optimization for Discovery of New Emulsion Polymerization Recipes

Popis výsledku anglicky

Self-optimization of chemical reactions enables faster optimization of reaction conditions or discovery of molecules with required target properties. The technology of self-optimization has been expanded to discovery of new process recipes for manufacture of complex functional products. A new machine-learning algorithm, specifically designed for multiobjective target optimization with an explicit aim to minimize the number of "expensive" experiments, guides the discovery process. This "black-box" approach assumes no a priori knowledge of chemical system and hence particularly suited to rapid development of processes to manufacture specialist lowvolume, high-value products. The approach was demonstrated in discovery of process recipes for a semibatch emulsion copolymerization, targeting a specific particle size and full conversion.

Druh

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

CEP obor

CI - Průmyslová chemie a chemické inženýrství

OECD FORD obor

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Projekt

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Návaznosti

R - Projekt Ramcoveho programu EK

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název periodika

Organic Process Research &amp; Development

ISSN

1083-6160

e-ISSN

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Svazek periodika

19

Číslo periodika v rámci svazku

8

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

5

Strana od-do

1049-1053

Kód UT WoS článku

000360103200018

EID výsledku v databázi Scopus

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