Building foundation of polymer informatics: ensemble of generators and virtual libraries of diverse functional polymers
Building foundation of polymer informatics: ensemble of generators and virtual libraries of diverse functional polymers
批准号:
21K14675
负责人:
Wu Stephen
金额:
$2.91万
依托单位国家:
日本
项目类别:
Grant-in-Aid for Early-Career Scientists
财政年份:
2021
资助国家:
日本
项目状态:
已结题
起止时间:
2021-04-01 至 2024-03-31
中文摘要
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英文摘要
In 2022, multiple types of polymer generators have been prepared under the all-in-one materials informatics platform, XenonPy. (1) language-model-based generators, NGrams, for 21 classes of polymers have been successfully trained; (2) reaction-based polymer candidate generator has been developed; (3) polymer generator based on rule-based virtual synthesis is going to be implemented. On top of the on-going expansion of the polymer generator library, application of our polymer informatics has been test on the design of new liquid crystalline polymers. Five new liquid crystalline polymers have been discovered. One of them further demonstrated a relatively high thermal conductivity, showing potential to be tested for industrial use. Our results are currently under preparation for publications. Seven presentations have been given around the world for this year's research achievement, and more will be given in the following year. Also, the development of our XenonPy platform has motivated new collaboration opportunities with the industrial companies. Last but not least, our work has been served as a foundation for another polymer informatics project, called RadonPy, which aims at producing the largest open calculation database for polymers.
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Design of liquid-crystalline polyimides by integrating expert knowledge to a data-driven machine learning framework
将专业知识集成到数据驱动的机器学习框架中设计液晶聚酰亚胺
DOI:
--
发表时间:
2022
期刊:
影响因子:
--
作者:
[Ju Shenghong, Yoshida Ryo, Liu Chang, Wu Stephen, Hongo Kenta, Tadano Terumasa, Shiomi Junichiro, Stephen Wu, Stephen Wu, Stephen Wu, Stephen Wu, Stephen Wu, Stephen Wu, Stephen Wu, Stephen Wu, Stephen Wu]
通讯作者:
Stephen Wu
DOI:
10.1103/physrevmaterials.5.053801
发表时间:
2019-09
期刊:
Physical Review Materials
影响因子:
3.4
作者:
[S. Ju;Ryo Yoshida;Chang Liu;Stephen Wu;K. Hongo;T. Tadano;J. Shiomi]
通讯作者:
S. Ju;Ryo Yoshida;Chang Liu;Stephen Wu;K. Hongo;T. Tadano;J. Shiomi
データ駆動型の液晶ポリイミド設計
数据驱动的液晶聚酰亚胺设计
DOI:
--
发表时间:
2022
期刊:
影响因子:
--
作者:
[Ju Shenghong, Yoshida Ryo, Liu Chang, Wu Stephen, Hongo Kenta, Tadano Terumasa, Shiomi Junichiro, Stephen Wu, Stephen Wu, Stephen Wu, Stephen Wu, Stephen Wu, Stephen Wu]
通讯作者:
Stephen Wu
Design of high thermal conductivity liquid-crystalline polyimides based on interplay of expert knowledge and machine learning
基于专家知识和机器学习相互作用的高导热液晶聚酰亚胺设计
DOI:
--
发表时间:
2022
期刊:
影响因子:
--
作者:
[Ju Shenghong, Yoshida Ryo, Liu Chang, Wu Stephen, Hongo Kenta, Tadano Terumasa, Shiomi Junichiro, Stephen Wu, Stephen Wu, Stephen Wu, Stephen Wu, Stephen Wu, Stephen Wu, Stephen Wu]
通讯作者:
Stephen Wu
DOI:
10.48550/arxiv.2204.01847
发表时间:
2022-03
期刊:
ArXiv
影响因子:
--
作者:
[Qi Zhang-;Chang Liu;Stephen Wu;Ryo Yoshida]
通讯作者:
Qi Zhang-;Chang Liu;Stephen Wu;Ryo Yoshida
共 14 条
Inverse materials design by integrating transfer learning techniques into a Bayesian framework
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批准号:18K18017
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项目类别:Grant-in-Aid for Early-Career Scientists
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资助金额:$2.58万
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财政年份:2018
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负责人:Wu Stephen
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依托单位:
海外基金