no code implementations • 29 Aug 2024 • Tianchi Yu, Yiming Qi, Ivan Oseledets, Shiyi Chen
With growing investigations into solving partial differential equations by physics-informed neural networks (PINNs), more accurate and efficient PINNs are required to meet the practical demands of scientific computing.
