Topic: reduced-order-models Goto Github
Some thing interesting about reduced-order-models
Some thing interesting about reduced-order-models
reduced-order-models,Open-source constructor of surrogates and metamodels
Organization: act-elegancy
reduced-order-models,For full documentation, see:
Organization: adacs-australia
Home Page: https://rombus.readthedocs.io/en/latest/
reduced-order-models,A repository used to compare the KVP and NVP emulators for two-body scattering in momentum space. This code was used to generate results for the paper ''Wave-function-based emulation for nucleon-nucleon scattering in momentum space'' by Garcia, Drischler, Furnstahl, Melendez, and Zhang.
User: ajg91
reduced-order-models,A repository used to apply emulators to the square well interaction in coordinate space. The scattering portion of this code was used to run tests and generate preliminary results for the paper ''Efficient emulators for scattering using eigenvector continuation'' by Furnstahl, Garcia, Millican, and Zhang.
User: ajg91
reduced-order-models,Repository for my thesis on "A Comparison of Reduced-Order Models for Wing Buffet Predictions"
User: antonschreiber
Home Page: https://zenodo.org/records/10255520
reduced-order-models,Standardized Non-Intrusive Reduced Order Modeling
User: arturs-berzins
reduced-order-models,Graph dynamical systems library
User: asrvsn
reduced-order-models,Non-intrusive Reduced Order Modeling package
User: azzeddinetiba
reduced-order-models,Create reduced-order state-space models for lithium-ion batteries utilising realisation algorithms.
User: bradyplanden
reduced-order-models,Supplemental Material for "BUQEYE Guide to Projection-Based Emulators in Nuclear Physics"
Organization: buqeye
reduced-order-models,A repository used to compare the KVP and NVP emulators for two-body scattering in momentum space. This code was used to generate results for the paper ''Wave-function-based emulation for nucleon-nucleon scattering in momentum space'' by Garcia, Drischler, Furnstahl, Melendez, and Zhang.
Organization: buqeye
reduced-order-models,Statistical Multivariate Regression Analysis to determine the effects of mortality, economic and social factors on life expectancy.
User: deeprpatel700
reduced-order-models,FlowNet - Data-Driven Reservoir Predictions
Organization: equinor
reduced-order-models,Python Framework for data-driven model Order Reduction of multi-physiCs problEms
Organization: ermete-lab
Home Page: https://ermete-lab.github.io/ROSE-pyforce/intro.html
reduced-order-models,It is a pdf generating application. It takes data from users and generates a pdf.
User: guptag0808
Home Page: https://kryzen-assignenment.vercel.app
reduced-order-models,Data-driven reduced order modeling for nonlinear dynamical systems
Organization: haller-group
reduced-order-models,Matlab implementation of online and window dynamic mode decomposition algorithms
User: haozhg
Home Page: https://github.com/haozhg/odmd
reduced-order-models,AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control
User: haozhg
Home Page: https://github.com/haozhg/oml
reduced-order-models,A straightforward prototype implementation of the incremental POD to demonstrate its use in reduced order modeling.
User: hendrik240298
reduced-order-models,Reduced order modelling techniques for OpenFOAM
Organization: ithaca-fv
Home Page: https://ithaca-fv.github.io/ITHACA-FV/
reduced-order-models,
User: janrotti
reduced-order-models,Numerical Methods for Vlasov-Poisson and Vlasov-Maxwell Systems
Organization: juliaplasma
reduced-order-models,Optimization of Pressure Management Strategies for Geological CO2 Sequestration Using Surrogate Model-based Reinforcement Learning
User: jungangc
Home Page: https://arxiv.org/ftp/arxiv/papers/2403/2403.07360.pdf
reduced-order-models,TU Delft M. Sc. Aerospace / Applied Mathematics Thesis
User: kikem
reduced-order-models,Unsteady Finite Element Reduced Order Model for Time Moving Domains
User: kikem
reduced-order-models,Example of control simulations
User: kimy-de
reduced-order-models,individual convolutional autoencoders (iCAEs) for low-dimensional parametrization
User: kimy-de
reduced-order-models,Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network
User: kylebeggs
reduced-order-models,Model reduction library with an emphasis on large scale parallelism and linear subspace methods
Organization: llnl
Home Page: https://www.librom.net
reduced-order-models,ITHACA-SEM - In real Time Highly Advanced Computational Applications for Spectral Element Methods
Organization: mathlab
Home Page: https://mathlab.sissa.it/ITHACA-SEM
reduced-order-models,The Toolkit for Adaptive Stochastic Modeling and Non-Intrusive ApproximatioN
Organization: ornl
Home Page: https://ornl.github.io/TASMANIAN/
reduced-order-models,core C++ library
Organization: pressio
reduced-order-models,RBniCSx - reduced order modelling in FEniCSx
Organization: rbnics
reduced-order-models,Probabilistic Response mOdel Fitting with Interactive Tools
Organization: redmod-team
Home Page: https://profit.readthedocs.io
reduced-order-models,The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-uniform parameter/time-varying grid, such that the Kolmogorov n-width of the mapped data on the learned grid is minimized.
User: rmojgani
reduced-order-models,A GPU-accelerated toolbox for hyperbolic PDEs in a weaker (viscosity) sense. It leverages the integral to the solution of the conservation of momentum problem (being equivalent to the derivative of Hamilton-Jacobi equations) in one spatial dimension. We resolve such hyperbolic differential equations using wave-front propagating schemes on a spatial-by-spatial dimension in resolving the classical value in dynamic programming (respectively optimal control and differential games) problems.
User: robotsorcerer
reduced-order-models,Local reduced order basis interpolation applied to the parabolic diffusion equation with a random coefficient field
User: snatesh
reduced-order-models,Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.
User: stefaniafresca
reduced-order-models,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.
User: stefaniafresca
reduced-order-models,Delay Embedded Regressive Reduced Order Model
User: stmeinecke
Home Page: https://derrom.readthedocs.io/en/latest/
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