A PINN-based level-set formulation for reconstruction of bubble dynamics-Reference-Cited by-同舟云学术

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A PINN-based level-set formulation for reconstruction of bubble dynamics

Published:2024-05-30 Issue:9 Volume:94 Page:2667-2682
ISSN:0939-1533
Container-title:Archive of Applied Mechanics
language:en
Short-container-title:Arch Appl Mech

Author:

M. Silva Rômulo,Grave Malú,Coutinho Alvaro L. G. A.

Funder

Petrobras

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00419-024-02622-5.pdf

Reference54 articles.

1. Raissi, M., Perdikaris, P., Karniadakis, G.E.: 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)

2. Hennigh, O., Narasimhan, S., Nabian, M.A., Subramaniam, A., Tangsali, K., Fang, Z., Rietmann, M., Byeon, W., Choudhry, S.: NVIDIA SimNetTM: An AI-Accelerated Multi-Physics Simulation Framework. In: Paszynski, M., Kranzlmüller, D., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M.A (eds.) Computational Science – ICCS 2021, pp. 447–461. Springer International Publishing, Cham (2021). https://doi.org/10.1007/978-3-030-77977-1_36

3. Kurth, T., Subramanian, S., Harrington, P., Pathak, J., Mardani, M., Hall, D., Miele, A., Kashinath, K., Anandkumar, A.: FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators. Association for Computing Machinery, New York, NY, USA (2023). https://doi.org/10.1145/3592979.3593412

4. Raissi, M., Yazdani, A., Karniadakis, G.E.: Hidden fluid mechanics: learning velocity and pressure fields from flow visualizations. Science 367(6481), 1026–1030 (2020)

5. Lu, L., Meng, X., Mao, Z., Karniadakis, G.E.: Deepxde: a deep learning library for solving differential equations. SIAM Rev. 63(1), 208–228 (2021)

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