Output Error Estimation for Unsteady Flows Using Reconstructed Solutions: Effect of Compression and Reconstruction of Unsteady CFD Data using Neural Networks and PODs on Error Estimates

Wake Dynamics of a Cylinder with a Flexible Splitter Plate: An Experimental Study

Non-Intrusive Multi-Fidelity Reduced Order Modeling using Adaptive Sparse Grids: Analysis of Nuclear Reactors using Non-Intrusive Adaptive Multi-Fidelity Reduced Order Modeling Techniques

Deflation techniques applied on mixed model equations

POD-based surface pressure reconstructions from sparse sensing: An experimental investigation

Machine Learning Based local Reduced Order Modeling for the prediction of Unsteady Aerodynamic Loads

An Experimental Study of the Aeroacoustic Properties of a Propeller in Energy Harvesting Configuration

POD–Kalman filtering for improving noninvasive 3D temperature monitoring in MR-guided hyperthermia

An enhanced algorithm for online Proper Orthogonal Decomposition and its parallelization for unsteady simulations

A Weighted Surrogate Model for Spatio-Temporal Dynamics with Multiple Time Spans: Applications for the Pollutant Concentration of the Bai River

Analyzing the wake of a wind turbine actuated with Dynamic Induction Control

Two-level preconditioning applied on the ssSNPBLUP model

Analysis of the Molten Salt Fast Reactor using reduced-order models

Chaotic systems learning with hybrid echo state network/proper orthogonal decomposition based model

A fully adaptive nonintrusive reduced-order modelling approach for parametrized time-dependent problems

Adaptive data-driven reduced-order modelling techniques for nuclear reactor analysis

A nonintrusive adaptive reduced order modeling approach for a molten salt reactor system

Plasma Actuation for Mitigation of Fluctuating Loads on Airfoils: An Experimental Study

Nonlinear dynamic identification of graphene's elastic modulus via reduced order modeling of atomistic simulations

A nonintrusive reduced order modelling approach using Proper Orthogonal Decomposition and locally adaptive sparse grids