Deep learning model for precise prediction and design of low-melting point phthalonitrile monomers

Author:

Lu Rongxing,Han Yue,Hu Junbao,Xu Di,Zhong Zhixuan,Zhou Heng,Zhao Tong,Jiang Jian

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference49 articles.

1. An overview of high-performance phthalonitrile resins: fabrication and electronic applications;Gu;J. Mater. Chem. C,2022

2. Bisphthalonitrile-based thermosets as heat-resistant matrices for fiber reinforced plastics;Bulgakov;Polym. Sci., Ser. C,2021

3. Preparation and characterization of a self-catalyzed fluorinated novolac-phthalonitrile resin;Li;Polym. Adv. Technol.,2018

4. Low melting phthalonitrile resins containing methoxyl and/or allyl moieties: synthesis, curing behavior, thermal and mechanical properties;Han;Eur. Polym. J.,2019

5. MolSearch: search-based multi-objective molecular generation and property optimization, KDD: proceedings;Sun;Int. Conf. Knowl. Discov. Data Mining,2022

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