Your browser doesn't support javascript.
loading
Towards designer polyolefins: highly tuneable olefin copolymerisation using a single permethylindenyl post-metallocene catalyst.
Collins Rice, Clement G; Morris, Louis J; Buffet, Jean-Charles; Turner, Zoë R; O'Hare, Dermot.
Afiliação
  • Collins Rice CG; Chemistry Research Laboratory, Department of Chemistry, University of Oxford 12 Mansfield Road Oxford OX1 3TA UK dermot.ohare@chem.ox.ac.uk.
  • Morris LJ; Chemistry Research Laboratory, Department of Chemistry, University of Oxford 12 Mansfield Road Oxford OX1 3TA UK dermot.ohare@chem.ox.ac.uk.
  • Buffet JC; Chemistry Research Laboratory, Department of Chemistry, University of Oxford 12 Mansfield Road Oxford OX1 3TA UK dermot.ohare@chem.ox.ac.uk.
  • Turner ZR; Chemistry Research Laboratory, Department of Chemistry, University of Oxford 12 Mansfield Road Oxford OX1 3TA UK dermot.ohare@chem.ox.ac.uk.
  • O'Hare D; Chemistry Research Laboratory, Department of Chemistry, University of Oxford 12 Mansfield Road Oxford OX1 3TA UK dermot.ohare@chem.ox.ac.uk.
Chem Sci ; 15(1): 250-258, 2023 Dec 20.
Article em En | MEDLINE | ID: mdl-38131091
ABSTRACT
Using a highly active permethylindenyl-phenoxy (PHENI*) titanium catalyst, high to ultra-high molecular weight ethylene-linear-α-olefin (E/LAO) copolymers are prepared in high yields under mild conditions (2 bar, 30-90 °C). Controllable, efficient, and predictable comonomer enchainment provides access to a continuum of copolymer compositions and a vast range of material properties using a single monomer-agnostic catalyst. Multivariate statistical tools are employed that combine the tuneability of this system with the analytical and predictive power of data-derived models, this enables the targeting of polyolefins with designer properties directly through predictive alteration of reaction conditions.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Chem Sci Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Chem Sci Ano de publicação: 2023 Tipo de documento: Article
...