Differentiable Neural-Integrated Meshfree Method for Forward and Inverse Modeling of Finite Strain Hyperelasticity

Documenti analoghi

• JAX-MPM: A Learning-Augmented Differentiable Meshfree Framework for GPU-Accelerated Lagrangian Simulation and Geophysical Inverse Modeling
  di: Du, Honghui, et al.
  Pubblicazione: (2025)
• History-Aware Neural Operator: Robust Data-Driven Constitutive Modeling of Path-Dependent Materials
  di: Guo, Binyao, et al.
  Pubblicazione: (2025)
• Differentiable Inverse Modeling with Physics-Constrained Latent Diffusion for Heterogeneous Subsurface Parameter Fields
  di: Lin, Zihan, et al.
  Pubblicazione: (2025)
• Physics-Informed Graph Neural Networks to Reconstruct Local Fields Considering Finite Strain Hyperelasticity
  di: Garban, Manuel Ricardo Guevara, et al.
  Pubblicazione: (2025)
• Moonwalk: Inverse-Forward Differentiation
  di: Krylov, Dmitrii, et al.
  Pubblicazione: (2024)