Pages that link to "Item:Q2679511"

The following pages link to Operator inference for non-intrusive model reduction with quadratic manifolds (Q2679511):

Displaying 23 items.

• Local Lagrangian reduced-order modeling for the Rayleigh-Taylor instability by solution manifold decomposition (Q2099719) (← links)
• Neural-network-augmented projection-based model order reduction for mitigating the Kolmogorov barrier to reducibility (Q6054198) (← links)
• A new method to interpolate POD reduced bases–Application to the parametric model order reduction of a gas bearings supported rotor (Q6082584) (← links)
• Predictive reduced order modeling of chaotic multi-scale problems using adaptively sampled projections (Q6095092) (← links)
• Operator inference with roll outs for learning reduced models from scarce and low-quality data (Q6135185) (← links)
• Residual-based error corrector operator to enhance accuracy and reliability of neural operator surrogates of nonlinear variational boundary-value problems (Q6185165) (← links)
• Symplectic model reduction of Hamiltonian systems using data-driven quadratic manifolds (Q6194167) (← links)
• Energy-conserving hyper-reduction and temporal localization for reduced order models of the incompressible Navier-Stokes equations (Q6196594) (← links)
• Operator inference for non-intrusive model reduction with quadratic manifolds (Q6398282) (← links)
• Learning physics-based reduced-order models from data using nonlinear manifolds (Q6552123) (← links)
• Generalized quadratic embeddings for nonlinear dynamics using deep learning (Q6554923) (← links)
• An adaptive, training-free reduced-order model for convection-dominated problems based on hybrid snapshots (Q6574153) (← links)
• Stochastic characterisation of unstable lean hydrogen–air annular premixed flames (Q6582974) (← links)
• Operator learning using random features: a tool for scientific computing (Q6585281) (← links)
• Bayesian identification of nonseparable Hamiltonians with multiplicative noise using deep learning and reduced-order modeling (Q6595859) (← links)
• TGPT-PINN: nonlinear model reduction with transformed GPT-PINNs (Q6595863) (← links)
• Operator inference driven data assimilation for high fidelity neutron transport (Q6595882) (← links)
• Model reduction on manifolds: a differential geometric framework (Q6599870) (← links)
• Approximation bounds for model reduction on polynomially mapped manifolds (Q6658207) (← links)
• Data-driven model reduction via non-intrusive optimization of projection operators and reduced-order dynamics (Q6661629) (← links)
• System stabilization with policy optimization on unstable latent manifolds (Q6663289) (← links)
• The non-intrusive reduced basis two-grid method applied to sensitivity analysis (Q6667321) (← links)
• A multi-field decomposed model order reduction approach for thermo-mechanically coupled gradient-extended damage simulations (Q6669045) (← links)