A 36M-parameter UNet-based PDE solver v2 by Los Alamos National Laboratory, designed for surrogate modeling of partial differential equations in scientific computing.
Proposes the Kuramoto Neural Operator, introducing coupled oscillator dynamics into operator learning to overcome limitations of fixed-basis architectures for physical phenomena governed by local interactions.
See LICENSE fileNeural OperatorPDE SolvingCoupled Oscillator
FEniCS/dolfinx releases a patch version that fixes a Mathjax rendering issue in the built documentation. This release is functionally identical to v0.11.0, so users do not need to upgrade.
GNU Lesser General Public License v3.0FEniCSdolfinxFinite Element
