Ngā tūemi rite

• Linear Stability Analysis of Physics-Informed Random Projection Neural Networks for ODEs
  mā: Fabiani, Gianluca, me ētahi atu.
  I whakaputaina: (2024)
• Slow Invariant Manifolds of Singularly Perturbed Systems via Physics-Informed Machine Learning
  mā: Patsatzis, Dimitrios G., me ētahi atu.
  I whakaputaina: (2023)
• Learning the Latent dynamics of Fluid flows from High-Fidelity Numerical Simulations using Parsimonious Diffusion Maps
  mā: Della Pia, Alessandro, me ētahi atu.
  I whakaputaina: (2024)
• Nonlinear Discrete-Time Observers with Physics-Informed Neural Networks
  mā: Alvarez, Hector Vargas, me ētahi atu.
  I whakaputaina: (2024)
• A physics-informed neural network method for the approximation of slow invariant manifolds for the general class of stiff systems of ODEs
  mā: Patsatzis, Dimitrios G., me ētahi atu.
  I whakaputaina: (2024)