Non-intrusive Reduced Order Modeling package
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Updated
Apr 5, 2024 - Python
Non-intrusive Reduced Order Modeling package
individual convolutional autoencoders (iCAEs) for low-dimensional parametrization
Graph dynamical systems library
Open-source constructor of surrogates and metamodels
TU Delft M. Sc. Aerospace / Applied Mathematics Thesis
Unsteady Finite Element Reduced Order Model for Time Moving Domains
Supplemental Material for "BUQEYE Guide to Projection-Based Emulators in Nuclear Physics"
For full documentation, see:
RBniCSx - reduced order modelling in FEniCSx
AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control
Standardized Non-Intrusive Reduced Order Modeling
Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.
Probabilistic Response mOdel Fitting with Interactive Tools
Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10915-021-01462-7.
Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network
FlowNet - Data-Driven Reservoir Predictions
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