Popinn
Prerequisites
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    kr-colab/popinn
    kr-colab/popinn
    • Overview
      • Prerequisites
        • 1. Physics-Informed Learning
        • 2. Anatomy of a Physics-Informed Problem
        • 3. JAX & Equinox Essentials
      • Examples
        • 1. PINN
        • 2. Parametrized PINN
        • 3. Deep Operator Network
        • PINN
        • P2INN
        • DeepONet
      • Grid evaluation
        • Loss
        • Weights
        • Residuals
      • Sampling
        • Adam Optimizer Config
        • L-BFGS Optimizer Config
        • Train
        • Abstract Models
        • Abstract Weights
        • Abstract Sampler

    Prerequisites

    This section walks through the background on physics-informed learning, how to construct a problem with Popinn, and some key concepts regarding JAX and Equinox.

    1. Physics-Informed Learning
    2. Anatomy of a Physics-Informed Problem
    3. JAX & Equinox Essentials
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