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Detail-preserving smoke simulation using an efficient high-order numerical scheme

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Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant Nos. 61502109, 61672502, 61402038), Natural Science Foundation of Guangdong Province (Grant Nos. 2016A030310342, 2018A030313802), National Key R&D Program of China (Grant No. 2017YFB1002701), Science and Technology Planning Project of Guangdong Province (Grant Nos. 2017B010110015, 2017B010110007), Open Research Fund of Guangdong Provincial Key Laboratory of Cyber-Physical System (Grant No. 2016B030301008).

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Authors and Affiliations

  1. School of Computer Science, Guangdong University of Technology, Guangzhou, 510006, China

    Jian Zhu, Zhuo Yang, Ruichu Cai & Zhifeng Hao

  2. State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, 100190, China

    Enhua Wu

  3. Faculty of Science and Technology, University of Macau, Macau, 999078, China

    Enhua Wu

  4. Institute of Space and Earth Info. Science, the Chinese University of Hong Kong, Hong Kong, 999077, China

    Hanqiu Sun

  5. School of Mathematics and Big Data, Foshan University, Foshan, 528000, China

    Zhifeng Hao

Authors
  1. Jian Zhu
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  2. Zhuo Yang
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  3. Hanqiu Sun
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  4. Enhua Wu
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  5. Ruichu Cai
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  6. Zhifeng Hao
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Corresponding author

Correspondence to Zhuo Yang.

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Zhu, J., Yang, Z., Sun, H. et al. Detail-preserving smoke simulation using an efficient high-order numerical scheme. Sci. China Inf. Sci. 63, 164101 (2020). https://doi.org/10.1007/s11432-018-9889-8

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