Computational methods in the development of a knowledge-based system for the 
prediction of solid catalyst performance

Procelewska, J.; Llamas Galilea, J.; Clerc, F.; Farrusseng, D.; Schüth, F.

doi:10.2174/138620707779802805

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Computational methods in the development of a knowledge-based system for the prediction of solid catalyst performance

Procelewska, J., Llamas Galilea, J., Clerc, F., Farrusseng, D., & Schüth, F. (2007). Computational methods in the development of a knowledge-based system for the prediction of solid catalyst performance. Combinatorial Chemistry & High Throughput Screening, 10, 37-50. doi:10.2174/138620707779802805.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-91BF-4 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-001A-187F-4

Genre: Journal Article

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Creators:
Procelewska, J.¹, Author
Llamas Galilea, J.¹, Author
Clerc, F.², Author
Farrusseng, D.¹, Author
Schüth, F.¹, Author

Affiliations:
1Research Department Schüth, Max-Planck-Institut für Kohlenforschung, Max Planck Society, ou_1445589
2CNRS, Inst Rech Catalyse, F-69626 Villeurbanne, France., ou_persistent22

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Language(s): eng - English

Dates: Date issued: 2007

Publication Status: Issued

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Rev. Type: Peer

Identifiers: eDoc: 338977
DOI: 10.2174/138620707779802805
ISI: 000244703400006

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Title: Combinatorial Chemistry & High Throughput Screening

Alternative Title : Comb. Chem. High Throughput Screen

Source Genre: Journal

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Pages: - Volume / Issue: 10 Sequence Number: - Start / End Page: 37 - 50 Identifier: ISSN: 1386-2073