36 citations · 64 across the 10 of their papers we have counts for
7 papers · 1 filter
DAFI: An Open-Source Framework for Ensemble-Based Data Assimilation and Field Inversion
Carlos A. Michelén Ströfer, Xin-Lei Zhang, Heng Xiao
In many areas of science and engineering, it is a common task to infer physical fields from sparse observations. This paper presents the DAFI code intended as a flexible framework…
Evaluation of ensemble methods for quantifying uncertainties in steady-state CFD applications with small ensemble sizes
Xinlei Zhang, Heng Xiao, Thomas Gomez +1
Bayesian uncertainty quantification (UQ) is of interest to industry and academia as it provides a framework for quantifying and reducing the uncertainty in computational models by…
Enforcing Boundary Conditions on Physical Fields in Bayesian Inversion
Carlos A. Michelén Ströfer, Xinlei Zhang, Heng Xiao +1
Inverse problems in computational mechanics consist of inferring physical fields that are latent in the model describing some observable fields. For instance, an inverse problem of…
Enforcing Deterministic Constraints on Generative Adversarial Networks for Emulating Physical Systems
Zeng Yang, Jin-Long Wu, Heng Xiao
Generative adversarial networks (GANs) were initially proposed to generate images by learning from a large number of samples. Recently, GANs have been used to emulate complex physi…
Regularized Ensemble Kalman Methods for Inverse Problems
Xin-Lei Zhang, Carlos Michelén-Ströfer, Heng Xiao
Inverse problems are common and important in many applications in computational physics but are inherently ill-posed with many possible model parameters resulting in satisfactory r…
Enforcing Statistical Constraints in Generative Adversarial Networks for Modeling Chaotic Dynamical Systems
Jin-Long Wu, Karthik Kashinath, Adrian Albert +3
Simulating complex physical systems often involves solving partial differential equations (PDEs) with some closures due to the presence of multi-scale physics that cannot be fully…