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  • Overview
    • Physics Informed Neural Networks
    • NVIDIA Modulus
    • Introduction to Model Engineer
    • Getting Started
    • Geometry Node
      • Node overview
      • Fully Connected Network
      • Fourier Network
      • Modified Fourier Neural Network
      • Fourier Neural Operator
      • Sinusoidal Representation Network
    • Equation Node
    • Constraint Node
    • Dataset Node
  • Simulator Training
    • Introduction to Simulation Studio
    • Creating a Project
    • Ready, Set, Simulate!
  • Overview
    • Physics Informed Neural Networks
    • NVIDIA Modulus
    • Introduction to Model Engineer
    • Getting Started
    • Geometry Node
      • Node overview
      • Fully Connected Network
      • Fourier Network
      • Modified Fourier Neural Network
      • Fourier Neural Operator
      • Sinusoidal Representation Network
    • Equation Node
    • Constraint Node
    • Dataset Node
  • Simulator Training
    • Introduction to Simulation Studio
    • Creating a Project
    • Ready, Set, Simulate!
  • About
  • Contact ↗ (opens in a new tab)
Question? Give us feedback → (opens in a new tab)Edit this page
Creating a Simulator
Neural Network Node
Node overview

Neural network node

Neural network node provides a selection of state-of-the-art deep learning architectures and schemes to be used specifically for complex multiphysics, data-driven, or hybrid modeling. List of the architectures comes from NVIDIA's Modulus framework, which is used in Siml.ai platform.

Neural network node in Model Engineer node-based editor

Figure 1.: Neural network node in Model Engineer node-based editor

Geometry NodeFully Connected Network

Siml.ai Documentation