Data-Driven Tabulation for Chemistry Integration Using Recurrent Neural Networks-Reference-Cited by-同舟云学术

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Data-Driven Tabulation for Chemistry Integration Using Recurrent Neural Networks

Published:2022 Issue: Volume: Page:1-11
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Zhang Yu¹^ORCID,Lin Qingguo¹,Du Wenli²^ORCID,Qian Feng²^ORCID

Affiliation:

1. Shanghai Engineering Research Center of Space Engine, Shanghai Institute of Space Propulsion, Shanghai 201112, China.

2. Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China.

Funder

National Natural Science Foundation of China

Shanghai Sailing Program

National Natural Science Foundation of China Basic Science Center Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/09787812.pdf?arnumber=9787812

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