Scheduled presentations:

• DD-FEM: Progress Toward Foundation Models via Data-Driven Reduced Order Modeling
  *Y. Choi (Lawrence Livermore National Laboratory)
• Interface PINNs (I-PINNs): A physics-informed neural networks framework for interface problems
  A. Sarma (Indian Institute of Technology Madras), S. Roy (Indian Institute of Technology Madras), *C. Annavarapu (Indian Institute of Technology Madras), P. Roy (Lawrence Livermore National Laboratory)
• Beyond Soft Penalties: Hard-Constrained Neural Methods for Accurate Solution of Elliptic Interface
  *S. Chung (Lawrence Livermore National Laboratory), P. Roy (Lawrence Livermore National Laboratory), S. Castonguay (Lawrence Livermore National Laboratory), Y. Fu (Pacific Northwest National Laboratory), M. Penwarden (Sandia National Laboratories)
• J-PINN: A Domain-Decomposed Physics-Informed Neural Network Framework for Kinematic Field Reconstruction in Fracture Mechanics
  *G. Stamatelatos (University of Patras), G. Kotsinis (LIST), L. Binsfeld (LIST), T. Loutas (University of Patras)
• Φ‑DeepONet: A Discontinuity Capturing Neural Operator
  S. Roy (Johns Hopkins University), *P. Roy (Lawrence Livermore National Laboratory), M. Shields (Johns Hopkins University)
• ML-Enabled Optimisation Framework for High-Performance Tissue Scaffold Design
  C. Wu (University of Newcastle), B. Wan (The University of Sydney), Y. Xu (The University of Sydney), W. Lewin (The University of Sydney), J. Fang (University of Technology, Sydney), J. Crook (University of Sydney), J. Clark (University of Sydney), *Q. Li (University of Sydney)