Self-similar blow-up profile for the Boussinesq equations via a physics-informed neural network. - Yongji Wang; Ching-Yao Lai; Javier Gómez-Serrano; Tristan Buckmaster (CoRR, 2022)

One-dimensional ice shelf hardness inversion: Clustering behavior and collocation resampling in physics-informed neural networks. - Yunona Iwasaki; Ching-Yao Lai (J. Comput. Phys., 2023)

Spectrum-Informed Multistage Neural Networks: Multiscale Function Approximators of Machine Precision. - Jakin Ng; Yongji Wang; Ching-Yao Lai (CoRR, 2024)

Multi-stage neural networks: Function approximator of machine precision. - Yongji Wang; Ching-Yao Lai (J. Comput. Phys., 2024)

DIFFICE-jax: Differentiable neural-network solver for data assimilation of ice shelves in JAX. - Yongji Wang; Ching-Yao Lai (J. Open Source Softw., 2025)