Big data collaborative artificial intelligence and high-performance computing to drive physical design of fusion-Reference-Cited by-同舟云学术

Big data collaborative artificial intelligence and high-performance computing to drive physical design of fusion

Published:2022-09 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Cloud Computing, Big Data Applications and Software Engineering (CBASE)
language:
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Author:

Liu Pan¹,Liu Gongjie²,Liu Jie³,Liu Chencheng⁴,Xiong Wenbin⁵,Tang Zhangcun⁶,Zhou Yinzhao¹,Wang Yonggang¹,Yuan Zhouming¹

Affiliation:

1. Tianfu Innovation Energy Establishment,Chengdu,China,610000

2. Beijng PARATERA Technology Corp., Ltd,Beijing,China,100000

3. National University of Defense Technology,Science and Technology on Parallel and Distributed Processing Laboratory,Changsha,China,410073

4. Central South University of Forestry and Technology,Changsha,China,410000

5. Nuclear and Radiation Safety Center, MEE,Beijing,China,100000

6. University of Electronic Science and Technology of China,Chengdu,China,610000

Funder

Research and Development

Publisher

IEEE

Link

Reference14 articles.

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. Artificial intelligence-assisted physical design of fusion materials;Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023);2023-08-23