Shallow Recurrent Decoders map point-kinetics time series to multi-group diffusion solutions on a benchmark reactor geometry.
Multi-physics model bias correction with data-driven reduced order techniques: Application to nuclear case studies
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pyforce-1.0.0 is a Python framework for data-driven reduced order modeling of multi-physics problems, rewritten with a pyvista backend for mesh handling and VTK compatibility.
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Multi-Fidelity Learning with Shallow Recurrent Decoders for Reactor Physics
Shallow Recurrent Decoders map point-kinetics time series to multi-group diffusion solutions on a benchmark reactor geometry.
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pyforce-1.0.0: Python Framework for data-driven model Order Reduction of multi-physiCs problEms
pyforce-1.0.0 is a Python framework for data-driven reduced order modeling of multi-physics problems, rewritten with a pyvista backend for mesh handling and VTK compatibility.