Volume 39, Issue 20 pp. 3626-3629
Communication

Development of a Diversity-Based Approach for the Discovery of Stereoselective Polymerization Catalysts: Identification of a Catalyst for the Synthesis of Syndiotactic Polypropylene

Jun Tian Dr.

Jun Tian Dr.

Department of Chemistry and Chemical Biology Baker Laboratory Cornell University Ithaca, NY 14853-1301 (USA) Fax: (+1) 607-255-4137

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Geoffrey W. Coates Prof.

Geoffrey W. Coates Prof.

Department of Chemistry and Chemical Biology Baker Laboratory Cornell University Ithaca, NY 14853-1301 (USA) Fax: (+1) 607-255-4137

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This work was supported by the Cornell Center for Materials Research (CCMR), a Materials Research Science and Engineering Center of the National Science Foundation (DMR-9632275), and the Exxon Chemical Corporation. G.W.C. gratefully acknowledges an NSF Career Award (CHE-9875261), a Camille and Henry Dreyfus New Faculty Award, a Research Corporation Research Innovation Award, an Alfred P. Sloan Research Fellowship, an Arnold and Mabel Beckman Foundation Young Investigator Award, a Camille Dreyfus Teacher-Scholar Award, a 3M Untenured Faculty Grant, an IBM Partnership Award, and a Union Carbide Innovation Recognition Award.

Abstract

Combinatorial methods have recently been used to aid in the discovery of new pharmaceuticals and catalysts for organic synthesis. A simple and inexpensive strategy for using combinatorial methods to discover polymerization catalysts is reported, and using it enabled a new catalyst (1, see scheme) for the synthesis of syndiotactic polypropylene to be identified.

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