Generator Approach to Evolutionary Optimization of Catalysts and its Integration with Surrogate Modeling

0355267 - ÚI 2011 RIV NL eng J - Journal Article
Holeňa, Martin - Linke, D. - Rodemerck, U.
Generator Approach to Evolutionary Optimization of Catalysts and its Integration with Surrogate Modeling.
Catalysis Today. Roč. 159, č. 1 (2011), s. 84-95. ISSN 0920-5861. E-ISSN 1873-4308
R&D Projects: GA ČR GA201/08/0802
Institutional research plan: CEZ:AV0Z10300504
Keywords : optimization of catalytic materials * evolutionary optimization * surrogate modeling * artificial neural networks * multilayer perceptron * regression boosting
Subject RIV: IN - Informatics, Computer Science
Impact factor: 3.407, year: 2011

Cited: 2

--- BAUMES, L.A. - JIMENEZ, S. - CORMA, A. hIT(e)Q: A new workflow-based computing environment for streamlining discovery. Application in materials science. CATALYSIS TODAY. ISSN 0920-5861, JAN 10 2011, vol. 159, no. 1, p. 126-137. [WOS]
--- CHU, Y.H. - HEYNDRICKX, W. - OCCHIPINTI, G. - JENSEN, V.R. - ALSBERG, B.K. An Evolutionary Algorithm for de Novo Optimization of Functional Transition Metal Compounds. JOURNAL OF THE AMERICAN CHEMICAL SOCIETY. ISSN 0002-7863, MAY 30 2012, vol. 134, no. 21, p. 8885-8895. [WOS]

Permanent Link: http://hdl.handle.net/11104/0194079