Publisher
Springer Science and Business Media LLC
Subject
Surfaces and Interfaces,General Materials Science,General Chemistry,Biophysics,Biotechnology
Reference49 articles.
1. K. Nakai, Y. Saiki, Machine-learning inference of fluid variables from data using reservoir computing. Phys. Rev. E (2018). https://doi.org/10.1103/physreve.98.023111
2. H. Schaeffer, Learning partial differential equations via data discovery and sparse optimization. Proc. R. Soc. A Math. Phys. Eng. Sci. 473(2197), 20160446 (2017). https://doi.org/10.1098/rspa.2016.0446
3. N.B. Erichson, M. Muehlebach, M. Mahoney, Physics-informed autoencoders for lyapunov-stable fluid flow prediction, in Machine Learning and the Physical Sciences Workshop, Conference on Neural Information Processing Systems (2019). arXiv:1905.10866
4. K. Champion, B. Lusch, J.N. Kutz, S.L. Brunton, Data-driven discovery of coordinates and governing equations. Proc. Natl. Acad. Sci. 116(45), 22445–22451 (2019). https://doi.org/10.1073/pnas.1906995116
5. T. Nakamura, K. Fukami, K. Hasegawa, Y. Nabae, K. Fukagata, Convolutional neural network and long short-term memory based reduced order surrogate for minimal turbulent channel flow. Phys. Fluids 33(2), 025116 (2021). https://doi.org/10.1063/5.0039845
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