Scheduled presentations:

• FEM-Bench: A Structured Scientific Reasoning Benchmark for Evaluating Code-Generating LLMs
  S. Mohammadzadeh (Boston University), E. Hamdi (Boston University), J. Shor (Boston University, Move37 Labs), *E. Lejeune (Boston University)
• Predicting Effective Coefficients of Perforated Conductive Media: A Hybrid Asymptotic Homogenization and Machine Learning Approach
  *H. Bojorquez-Marrufo (Universidad Nacional Autónoma de México), J. Bravo-Castillero (Universidad Nacional Autónoma de México), J. Perez-Gonzalez (Universidad Nacional Autónoma de México), R. Guinovart-Díaz (Universidad de La Habana)
• Data-Gap Resistant Learning of Partially Known Dynamics Using Physics-Informed Neural Networks
  *H. Zeipel (Paderborn University), V. Schnückel (Paderborn University), J. Schütte (Paderborn University), W. Sextro (Paderborn University)
• A Comparative Study of Hybrid Modeling Approaches for Nonlinear Dynamic Systems Using Additive Discrepancy Compensation
  *M. Wohlleben (Paderborn University), J. Schütte (Paderborn University), W. Sextro (Paderborn University)
• A Data-Driven Framework for Linear Solver Selection in Computational Mechanics
  *H. Liu Weng (Technical University of Munich), H. Bungartz (Technical University of Munich), F. Dietrich (Technical University of Munich)