Designing High-Refractive Index Polymers Using Materials Informatics

January 22, 2018

A machine learning strategy is presented for the rapid discovery of new polymeric materials satisfying multiple desirable properties. Of particular interest is the design of high refractive index polymers. Our in silico approach employs a series of quantitative structure-property relationship models that facilitate rapid virtual screening of polymers based on relevant properties such as the refractive index, glass transition and thermal decomposition temperatures, and solubility in standard solvents.

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Chemical Business Association

Advocacy – representing chemical supply chain businesses in Whitehall, Westminster, and Brussels. CBA has effective working relationships with regulators and legislators and plays an active role in the European Association for Chemical Distributors (Fecc) and the European Chemical Industry Council (Cefic).

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Spotlight

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