Physics-informed neural networks (PINNs) combined with isogeometric analysis (IGA) enable efficient phase-field fracture simulation through a four-phase pipeline. NURBS inputs feed RFF feature extraction and neural mapping via MLP, constructing trial fields evaluated through IGA/NURBS discretization and material field computation. Energy minimization with adaptive load-path control (using Adam, LBFGS, and RPROP optimizers) solves the variational problem with VUKIMS multipatch coupling. This architecture reduces computational cost while maintaining accuracy for complex fracture propagation problems. Fork and customize this diagram on Diagrams.so to adapt the pipeline for your material models, boundary conditions, or optimization strategies.