Title
Applying Genetic Algorithms in Chemical Engineering for Determining Zeolite Structures.
Abstract
Zeolites are crystalline materials widely used in many catalytic process in industry. Specifically, they have a major impact at petrochemicals, fine chemicals or gas separation. Thus, discovering new zeolites with specific properties is a high-impact target for the industry, due to their huge economical repercussions. New tools and techniques are needed to help in this task, because trial and error approaches prevail until now. In this work, we propose a new application of genetic algorithms for helping chemical engineers in the process of determining zeolite structures with specific properties. Our proposal takes advantage of some symmetry operation properties to improve the performance of the genetic algorithm. Furthermore, a suitable fitness function has been designed which evaluates all main features required for efficient zeolites.
Year
DOI
Venue
2017
10.1007/978-3-319-67180-2_4
INTERNATIONAL JOINT CONFERENCE SOCO'17- CISIS'17-ICEUTE'17 PROCEEDINGS
Keywords
Field
DocType
Genetic Algorithm,Computer-aided model-building method,Zeolite Structure Determination,Catalysis
Gas separation,Trial and error,Zeolite,Biochemical engineering,Computer science,Fitness function,Petrochemical,Crystalline materials,Genetic algorithm,Symmetry operation
Conference
Volume
ISSN
Citations 
649
2194-5357
0
PageRank 
References 
Authors
0.34
3
4
Name
Order
Citations
PageRank
Xuehua Liu100.34
Estefania Argente230921.40
S. Valero3194.92
German Sastre400.68