Combinatorial methods and high-throughput experimentation in synthetic polymer chemistry
| Autor: | Hoogenboom, R., Meier, M.A.R., Schubert, U.S., Potyrailo, R.A. |
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| Přispěvatelé: | Chemical Engineering and Chemistry |
| Jazyk: | angličtina |
| Rok vydání: | 2004 |
| Zdroj: | Combinatorial and artificial intelligence methods in materials science II : symposium held December 1-4, 2003, Boston, Massachusetts, U.S.A., 83-94 STARTPAGE=83;ENDPAGE=94;TITLE=Combinatorial and artificial intelligence methods in materials science II : symposium held December 1-4, 2003, Boston, Massachusetts, U.S.A. |
| Popis: | A review describes a strategy to construct a most efficient workflow in the field of combinatorial polymer research. Combinatorial chem. has revolutionized the drug discovery as well as the catalyst discovery and optimization process during the last years. Nowadays, triggered by these developments, combinatorial methods and parallel chem. also emerge in the field of material and polymer chem. Esp. the field of polymer research seems to be perfectly suited for these approaches since many parameters can be varied during synthesis, processing, blending, formulation and compounding. Moreover, the screening of interesting parameters, such as mol. wt., polydispersity, polymn. kinetics, viscosity, hardness or stiffness, became feasible only recently. New developments made as some general aspects were discussed |
| Databáze: | OpenAIRE |
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