2 papers
physics.comp-ph2026
Mass-Conserving Physics-Informed Neural Networks For The One-Dimensional Advection-Diffusion Equation
Eszra Forenita Sigalingging, Liu Kin Men, Setianto Setianto +1
The advection-diffusion equation is a fundamental model of transport phenomena in which mass conservation is an essential physical constraint. While classical schemes such as Crank…
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…