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20162023
most citedEvaluation of ensemble methods for quantifying uncertainties in steady-state CFD applications with small ensemble sizes

36 citations · 64 across the 10 of their papers we have counts for

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physics.comp-ph2020

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…

physics.comp-ph202036 cited

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…

physics.comp-ph2019

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…

physics.comp-ph2019

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…

physics.comp-ph2019

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…

physics.comp-ph2019

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…