Author

Jin-Chao Zeng

2 papers indexed here

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Preprint Aug 2026

Efficient primal--dual splitting methods for a Poisson-constrained JKO scheme for Poisson-Nernst-Planck models

To efficiently solve the resulting large-scale constrained problems, preconditioned and transformed primal--dual algorithms equipped with tailored fast dual solvers that exploit the coupled block structure of the PDE constraints are developed.

Wei Wu, Jin-Chao Zeng, Zhen Zhang et al. · 0 citations

Open access Aug 2026

Multi-Fidelity Physics-Informed Graph Neural Networks for 3D Gear Contact Stress Prediction Under Extreme Gradients

This study develops a multi-fidelity physics-informed graph surrogate combining a coarse learning graph, peak-sensitive KDTree projection, gated message passing, and a regularized least-squares finite-difference equilibrium residual that outperforms distance-weighted averaging at one fixed graph resolution.

Jin-Chao Zeng, Zi-Cheng Li, Qizhe Lin · Processes · 0 citations