Finite Operator Learning: Bridging Neural Operators and Numerical Methods for Efficient Parametric Solution and Optimization of PDEs

Ähnliche Einträge

• Integration of physics-informed operator learning and finite element method for parametric learning of partial differential equations
  von: Rezaei, Shahed, et al.
  Veröffentlicht: (2024)
• A Physics-Informed Meta-Learning Framework for the Continuous Solution of Parametric PDEs on Arbitrary Geometries
  von: Asl, Reza Najian, et al.
  Veröffentlicht: (2025)
• Neural-Initialized Newton: Accelerating Nonlinear Finite Elements via Operator Learning
  von: Taghikhani, Kianoosh, et al.
  Veröffentlicht: (2025)
• A finite operator learning technique for mapping the elastic properties of microstructures to their mechanical deformations
  von: Rezaei, Shahed, et al.
  Veröffentlicht: (2024)
• A Finite Operator Learning Technique for Mapping the Elastic Properties of Microstructures to Their Mechanical Deformations
  von: Shahed Rezaei, et al.
  Veröffentlicht: (2024)