Scheduled presentations:

• Keynote Some Advances in Foundation Models for Physics
  E. Lawrence (Los Alamos National Laboratory), M. Rautela (Los Alamos National Laboratory), S. Mansingh (Los Alamos National Laboratory), J. Amarel (Los Alamos National Laboratory), A. Most (Los Alamos National Laboratory), R. Arnab (Los Alamos National Laboratory), A. Mohan (Los Alamos National Laboratory), G. Kunde (Los Alamos National Laboratory), B. Migliori (Los Alamos National Laboratory), E. Casleton (Los Alamos National Laboratory), B. Love (Los Alamos National Laboratory), A. Biswas (Los Alamos National Laboratory), D. Oyen (Los Alamos National Laboratory), *N. DeBardeleben (Los Alamos National Laboratory)
• Advancing LLM-Based Expert Systems for Specialized Domain Knowledge
  *Y. Chen (Ming Chi University of Technology)
• Bridging the Semantic Gap in Open RAN: A Hybrid Retrieval-Augmented Generation Framework for Dual-Domain 5G Engineering
  *D. Marlambekov (Al-Farabi Kazakh National University), A. Mukhanbet (Al-Farabi Kazakh National University), Y. Nurakhov (Al-Farabi Kazakh National University)
• Predicting Casting-Induced Shape Distortion Using Hybrid Physics-Informed Neural Networks in Low-Pressure Die Casting
  S. Adhikari (Institute for Energy Technology), *G. Noorsumar (Institute for Energy Technology), D. Mortensen (Institute for Energy Technology), T. Celik (University of Agder), R. Babaei (Aludyne Norway AS)
• Exploring the Effect of Draft Distribution in Physics-Informed and Knowledge Guided Neural Networks for Vessel Power Prediction
  *O. Bourchas (National Technical University of Athens), N. Silionis (National Technical University of Athens), K. Anyfantis (National Technical University of Athens), G. Papalambrou (National Technical University of Athens)