2 papers
cs.LG2026
Intrinsic-Metric Physics-Informed Neural Networks (IM-PINN) for Reaction-Diffusion Dynamics on Complex Riemannian Manifolds
Julian Evan Chrisnanto, Salsabila Rahma Alia, Nurfauzi Fadillah +1
Simulating nonlinear reaction-diffusion dynamics on complex, non-Euclidean manifolds remains a fundamental challenge in computational morphogenesis, constrained by high-fidelity me…
cs.LG2025
Unified Spatiotemporal Physics-Informed Learning (USPIL): A Framework for Modeling Complex Predator-Prey Dynamics
Julian Evan Chrisnanto, Salsabila Rahma Alia, Yulison Herry Chrisnanto +1
Ecological systems exhibit complex multi-scale dynamics that challenge traditional modeling. New methods must capture temporal oscillations and emergent spatiotemporal patterns whi…