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.
iQSPR in XenonPy: A Bayesian Molecular Design Algorithm.
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作者:Wu Stephen, Lambard Guillaume, Liu Chang, Yamada Hironao, Yoshida Ryo
| 期刊: | Molecular Informatics | 影响因子: | 3.100 |
| 时间: | 2020 | 起止号: | 2020 Jan;39(1-2):e1900107 |
| doi: | 10.1002/minf.201900107 | ||
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