Feng, M.; Shan, M.; Kuai, L.; Yang, C.; Yang, Y.; Yin, C.; Han, Q.
Hybrid Physics-Informed Neural Networks Integrating Multi-Relaxation-Time Lattice Boltzmann Method for Forward and Inverse Flow Problems. Mathematics 2025, 13, 3712.
https://doi.org/10.3390/math13223712
AMA Style
Feng M, Shan M, Kuai L, Yang C, Yang Y, Yin C, Han Q.
Hybrid Physics-Informed Neural Networks Integrating Multi-Relaxation-Time Lattice Boltzmann Method for Forward and Inverse Flow Problems. Mathematics. 2025; 13(22):3712.
https://doi.org/10.3390/math13223712
Chicago/Turabian Style
Feng, Mengyu, Minglei Shan, Ling Kuai, Chenghui Yang, Yu Yang, Cheng Yin, and Qingbang Han.
2025. "Hybrid Physics-Informed Neural Networks Integrating Multi-Relaxation-Time Lattice Boltzmann Method for Forward and Inverse Flow Problems" Mathematics 13, no. 22: 3712.
https://doi.org/10.3390/math13223712
APA Style
Feng, M., Shan, M., Kuai, L., Yang, C., Yang, Y., Yin, C., & Han, Q.
(2025). Hybrid Physics-Informed Neural Networks Integrating Multi-Relaxation-Time Lattice Boltzmann Method for Forward and Inverse Flow Problems. Mathematics, 13(22), 3712.
https://doi.org/10.3390/math13223712
