The current refactoring work on NuGridPy is being done through the Max Planck Institute for Intelligent Systems, an AI and machine learning research institute. This provides a unique opportunity for exploration of possible uses or valuable contributions that machine learning tools could make to the NuGridPy suite (or in the broader NuGrid community), so any interest in collaboration is encouraged.
Current areas of exploration for possible overlap between our areas of computational astrophysics and machine learning include: probabilistic PDE solvers in nuclear networks, 3D1D reductions and optimization, ………..
Feel free to discuss, pose questions, make suggestions, or pitch ideas here.
The current refactoring work on NuGridPy is being done through the Max Planck Institute for Intelligent Systems, an AI and machine learning research institute. This provides a unique opportunity for exploration of possible uses or valuable contributions that machine learning tools could make to the NuGridPy suite (or in the broader NuGrid community), so any interest in collaboration is encouraged.
Current areas of exploration for possible overlap between our areas of computational astrophysics and machine learning include: probabilistic PDE solvers in nuclear networks, 3D1D reductions and optimization, ………..
Feel free to discuss, pose questions, make suggestions, or pitch ideas here.