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Nov 5, 2025
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propose fix some typos #1209

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propose fix some typos
jeis4wpi Nov 4, 2025
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Merge branch 'main' into main
coreyjadams Nov 5, 2025
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6 changes: 3 additions & 3 deletions FAQ.md
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## What is the recommended hardware for training using PhysicsNeMo framework?

Please refer to the recommended hardware section:
[System Requirments](https://docs.nvidia.com/deeplearning/physicsnemo/getting-started/index.html#system-requirements)
[System Requirements](https://docs.nvidia.com/deeplearning/physicsnemo/getting-started/index.html#system-requirements)

## What model architectures are in PhysicsNeMo?

Nvidia PhysicsNeMo is built on top of PyTorch and you can build and train any model
architecture you want in PhysicsNeMo. PhysicsNeMo however has a catalog of models that
have been packaged in a configurable form to make it easy to retrain with new data or certain
config parameters. Examples include GNNs like MeshGraphNet or Neural Operators like FNO.
PhysicsNeMo samples have more models that illustrate how a specific approach with a specifc
PhysicsNeMo samples have more models that illustrate how a specific approach with a specific
model architecture can be applied to a specific problem.
These are reference starting points for users to get started.

Expand Down Expand Up @@ -47,7 +47,7 @@ that illustrates the concept.

## What can I do if I dont see a PDE in PhysicsNeMo?

PhysicsNeMo Symbolic provides a well documeted
PhysicsNeMo Symbolic provides a well documented
[example](https://docs.nvidia.com/deeplearning/physicsnemo/physicsnemo-sym/user_guide/foundational/1d_wave_equation.html#writing-custom-pdes-and-boundary-initial-conditions)
that walks you through how to define a custom PDE. Please see the source [here](https://github.com/NVIDIA/physicsnemo-sym/tree/main/physicsnemo/sym/eq/pdes)
to see the built-in PDE implementation as an additional reference for your own implementation.
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