Prediction of solvent activity in polymer systems with neural networks
- Author
- RAMESH KESHAVARAJ1 ; TOCK, R. W1 ; NARAYAN, R. S1 ; BARTSCH, R. A
[1] Texas Tech univ., dep. chemical eng., polymer processing testing lab., Lubbock TX 79401-3121, United States - Source
Industrial & engineering chemistry research. 1995, Vol 34, Num 11, pp 3974-3980 ; ref : 19 ref
- CODEN
- IECRED
- ISSN
- 0888-5885
- Scientific domain
- Biotechnology; Energy; Chemical engineering
- Publisher
- American Chemical Society, Washington, DC
- Publication country
- United States
- Document type
- Article
- Language
- English
- Keyword (fr)
- Effet solvant Modélisation Paramètre interaction Polymère Réseau neuronal Solution
- Keyword (en)
- Solvent effect Modeling Interaction parameter Polymer Neural network Solution
- Keyword (es)
- Efecto solvente Modelización Parámetro interacción Polímero Red neuronal Solución
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D09 Physicochemistry of polymers / 001D09D Organic polymers / 001D09D04 Properties and characterization / 001D09D04G Solution and gel properties
- Discipline
- Physical chemistry of polymers
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 2898119
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1021/ie00038a038 
https://dx.doi.org/10.1021/ie00038a038
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