research
∙
02/27/2021
Unscented Kalman Inversion: Efficient Gaussian Approximation to the Posterior Distribution
The unscented Kalman inversion (UKI) method presented in [1] is a genera...
share
research
∙
02/21/2021
Improve Unscented Kalman Inversion With Low-Rank Approximation and Reduced-Order Model
The unscented Kalman inversion (UKI) presented in [1] is a general deriv...
research
∙
02/02/2021
Unscented Kalman Inversion
A useful approach to solve inverse problems is to pair the parameter-to-...
research
∙
12/26/2020
Power Iteration for Tensor PCA
In this paper, we study the power iteration algorithm for the spiked ten...
research
∙
07/12/2020
A computationally tractable framework for nonlinear dynamic multiscale modeling of membrane fabric
A general-purpose computational homogenization framework is proposed for...
research
∙
04/01/2020
Learning Constitutive Relations using Symmetric Positive Definite Neural Networks
We present the Cholesky-factored symmetric positive definite neural netw...
research
∙
12/03/2019
Modeling, simulation and validation of supersonic parachute inflation dynamics during Mars landing
A high fidelity multi-physics Eulerian computational framework is presen...
research
∙
09/03/2019
High-order partitioned spectral deferred correction solvers for multiphysics problems
We present an arbitrarily high-order, conditionally stable, partitioned ...
research
∙
08/11/2019
