Author

Hongjie Jiang

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Open access Oct 2026

PDEformer-2: a versatile foundation model for two-dimensional partial differential equations

Partial differential equations (PDEs) are fundamental to modeling physical systems. Traditional PDE solvers are often computationally expensive. Neural operators require independent training for different PDEs, and tend to be data-greedy when adapted to new scenarios. To this end, we introduce PDEformer-2, a versatil...

Zhan-Hong Ye, Zi-Ning Liu, Bing-Yang Wu et al. · National Science Review · 0 citations

Preprint Aug 2026

Foundation Neural Effective Hamiltonian for Strongly Correlated Quantum Materials

The Foundation Neural Effective Hamiltonian (FNEH) is demonstrated in strongly correlated moir\'e materials, where it accurately resolves competing phases, enables high-resolution multidimensional phase scans, and substantially reduces the computational cost of exploring many target Hamiltonians.

Lixing Zhang, Hongjie Jiang, D. Luo · 2 citations