Pu Ren

activity

20202026

most citedSeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain

5 citations · 8 across the 4 of their papers we have counts for

collaborators

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2 papers · 1 filter

math.NA2025

RELift: Learned Coarse-to-Fine Propagators for Time-Dependent PDEs with Applications to Electron Dynamics

Hardeep Bassi, Yuanran Zhu, Erika Ye +5

We present RELift (Restrict, Evolve, Lift), a two-phase learning framework that couples coarse-grid numerical solvers with neural operators to super-resolve and forecast fine-grid…

math.NA2024

P $^{2}$ C $^{2}$ Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics

Qi Wang, Pu Ren, Hao Zhou +10

When solving partial differential equations (PDEs), classical numerical methods often require fine mesh grids and small time stepping to meet stability, consistency, and convergenc…

RELift: Learned Coarse-to-Fine Propagators for Time-Dependent PDEs with Applications to Electron Dynamics

P2C2Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics

P $^{2}$ C $^{2}$ Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics