SimNet
NVIDIA SimNet: physics-informed networks for parameterised design
Paper title NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework
Paper arXiv 2012.07938PDF
A framework that trains physics-informed networks from the governing equations, with no simulation data, on geometry built from constructive solid geometry or STL. Design parameters such as fin heights are extra network inputs, so one training run covers a whole family of designs.
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