Pde-refiner: Achieving accurate long rollouts with neural pde solvers
Time-dependent partial differential equations (PDEs) are ubiquitous in science and
engineering. Recently, mostly due to the high computational cost of traditional solution …
engineering. Recently, mostly due to the high computational cost of traditional solution …
Adversarial learning for neural pde solvers with sparse data
Neural network solvers for partial differential equations (PDEs) have made significant
progress, yet they continue to face challenges related to data scarcity and model robustness …
progress, yet they continue to face challenges related to data scarcity and model robustness …