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IQSPR in XenonPy: A Bayesian Molecular Design Algorithm.


ABSTRACT: iQSPR is an inverse molecular design algorithm based on Bayesian inference that was developed in our previous study. Here, the algorithm is integrated in Python as a new module called iQSPR-X in the all-in-one materials informatics platform XenonPy. Our new software provides a flexible, easy-to-use, and extensible platform for users to build customized molecular design algorithms using pre-set modules and a pre-trained model library in XenonPy. In this paper, we describe key features of iQSPR-X and provide guidance on its use, illustrated by an application to a polymer design that targets a specific range of bandgap and dielectric constant.

SUBMITTER: Wu S 

PROVIDER: S-EPMC7050509 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

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iQSPR in XenonPy: A Bayesian Molecular Design Algorithm.

Wu Stephen S   Lambard Guillaume G   Liu Chang C   Yamada Hironao H   Yoshida Ryo R  

Molecular informatics 20191105 1-2


iQSPR is an inverse molecular design algorithm based on Bayesian inference that was developed in our previous study. Here, the algorithm is integrated in Python as a new module called iQSPR-X in the all-in-one materials informatics platform XenonPy. Our new software provides a flexible, easy-to-use, and extensible platform for users to build customized molecular design algorithms using pre-set modules and a pre-trained model library in XenonPy. In this paper, we describe key features of iQSPR-X  ...[more]

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