Deterministic-like data-driven discovery of stochastic differential equations via the Feynman–Kac formalism
Author:
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
University Natural Science Research Project of Anhui Province
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1140/epjs/s11734-024-01270-8.pdf
Reference40 articles.
1. S.L. Brunton, B.R. Noack, P. Koumoutsakos, Machine learning for fluid mechanics. Ann. Rev. Fluid Mech. 52, 477–508 (2020)
2. K. J. Bergen, P. A. Johnson, M. V. de Hoop, and G. C. Beroza, (2019) Machine learning for data-driven discovery in solid earth geoscience, Science, vol. 363, no. 6433, p. eaau0323
3. S. Boccaletti, J. Kurths, G. Osipov, D. Valladares, C. Zhou, The synchronization of chaotic systems. Phys. Rep. 366(1–2), 1–101 (2002)
4. P. Lyngby and K. S. Thygesen, Data-driven discovery of 2d materials by deep generative models, npj Computational Materials, vol. 8, no. 1, p. 232, 2022
5. M. Raissi, P. Perdikaris, G. Karniadakis, Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations. J. Comput. Phys. 378, 686–707 (2019)
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