7 citations to https://www.mathnet.ru/rus/danma452
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Vincent C. Scholz, Yaohua Zang, Phaedon-Stelios Koutsourelakis, “Weak neural variational inference for solving Bayesian inverse problems without forward models: Applications in elastography”, Computer Methods in Applied Mechanics and Engineering, 433 (2025), 117493
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Yixuan Sun, Ololade Sowunmi, Romain Egele, Sri Hari Krishna Narayanan, Luke Van Roekel, Prasanna Balaprakash, “Streamlining Ocean Dynamics Modeling with Fourier Neural Operators: A Multiobjective Hyperparameter and Architecture Optimization Approach”, Mathematics, 12:10 (2024), 1483
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Ali Kashefi, Tapan Mukerji, “A novel Fourier neural operator framework for classification of multi-sized images: Application to three dimensional digital porous media”, Physics of Fluids, 36:5 (2024)
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Kamyar Azizzadenesheli, Nikola Kovachki, Zongyi Li, Miguel Liu-Schiaffini, Jean Kossaifi, Anima Anandkumar, “Neural operators for accelerating scientific simulations and design”, Nat Rev Phys, 6:5 (2024), 320
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Ziyuan Liu, Haifeng Wang, Hong Zhang, Kaijun Bao, Xu Qian, Songhe Song, “Render unto Numerics: Orthogonal Polynomial Neural Operator for PDEs with Nonperiodic Boundary Conditions”, SIAM J. Sci. Comput., 46:4 (2024), C323
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Matthaios Chatzopoulos, Phaedon-Stelios Koutsourelakis, “Physics-Aware Neural Implicit Solvers for multiscale, parametric PDEs with applications in heterogeneous media”, Computer Methods in Applied Mechanics and Engineering, 432 (2024), 117342
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Gianluca Fabiani, Ioannis G. Kevrekidis, Constantinos Siettos, Athanasios N. Yannacopoulos, “RandONets: Shallow Networks with Random Projections for Learning Linear and Nonlinear Operators”, Journal of Computational Physics, 2024, 113433