Abhishek Barman, Biswajit Khara, Baskar Ganapathysubramanian, Anupam Sharma, “Accelerating space-time methods using physics-informed neural networks”, Journal of Computational Physics, 2025, 114124
Nafisa Mehtaj, Sourav Banerjee, “Scientific Machine Learning for Elastic and Acoustic Wave Propagation: Neural Operator and Physics-Guided Neural Network”, Sensors, 25:12 (2025), 3588
Sumanth Kumar Boya, Deepak N. Subramani, “PINTO: Physics-informed transformer neural operator for learning generalized solutions of partial differential equations for any initial and boundary condition”, Computer Physics Communications, 2025, 109702
Hartej Soin, Tapas Tripura, Souvik Chakraborty, “Generative flow induced neural architecture search: Towards discovering optimal architecture in wavelet neural operator”, Computer Physics Communications, 316 (2025), 109755
Fengrui Jing, Hongzhen Ding, TaoSong, ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025, 1
Erisa Hasani, Rachel A. Ward, “Generating synthetic data for neural operators”, The SMAI Journal of computational mathematics, 11 (2025), 497
Qi Li, Kequan Shi, Bin Luo, Shui Yu, Hongna Zhu, Bangji Wang, “Predicting the soliton trapping in birefringence optical fibers via spectral neural operator enhanced by CNLSE-Layer”, Opt. Lett., 50:19 (2025), 6189
Massimiliano Ghiotto, “HyperNOs: automated and parallel library for neural operators research”, Boll Unione Mat Ital, 2025
Jingjian Chen, Jie Nie, Ning Song, Min Ye, Zhiqiang Wei, “MU-LSM: latent spectral model based on multi-scale fusion and UNet”, Complex Intell. Syst., 11:12 (2025)
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