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Volumn 27, Issue 9, 2006, Pages 711-715

Prediction of polymer properties from their structure by recursive neural networks

Author keywords

Cheminformatics; Glass transition; QSPR; Recursive neural networks; Structure property relations

Indexed keywords

MACROMOLECULES; MATHEMATICAL MODELS; MOLECULAR DYNAMICS; NEURAL NETWORKS; STEREOCHEMISTRY;

EID: 33646794450     PISSN: 10221336     EISSN: 15213927     Source Type: Journal    
DOI: 10.1002/marc.200600026     Document Type: Article
Times cited : (42)

References (26)
  • 15
    • 0000442555 scopus 로고
    • Glass transition temperatures of polymers
    • J. Brandrup, E. H. Immergut, Eds., John Wiley & Sons, New York
    • P. Geyser, "Glass Transition Temperatures of Polymers", in: Polymer Handbook, 3rd edition, J. Brandrup, E. H. Immergut, Eds., John Wiley & Sons, New York 1989, p. VI/209.
    • (1989) Polymer Handbook, 3rd Edition
    • Geyser, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.