Dynami-CAL GraphNet: A Physics-Informed Graph Neural Network Conserving Linear and Angular Momentum for Dynamical Systems

Documenti analoghi

• Equi-Euler GraphNet: An Equivariant, Temporal-Dynamics Informed Graph Neural Network for Dual Force and Trajectory Prediction in Multi-Body Systems
  di: Sharma, Vinay, et al.
  Pubblicazione: (2025)
• Generative Spatio-temporal GraphNet for Transonic Wing Pressure Distribution Forecasting
  di: Immordino, Gabriele, et al.
  Pubblicazione: (2024)
• Graph Neural Networks for Virtual Sensing in Complex Systems: Addressing Heterogeneous Temporal Dynamics
  di: Zhao, Mengjie, et al.
  Pubblicazione: (2024)
• Physics-Informed Neural Networks for Shell Structures
  di: Bastek, Jan-Hendrik, et al.
  Pubblicazione: (2022)
• Towards Complex Dynamic Physics System Simulation with Graph Neural ODEs
  di: Shi, Guangsi, et al.
  Pubblicazione: (2023)