1 citations · 1 across the 3 of their papers we have counts for
3 papers
physics.plasm-ph2025
Statistical inference of anomalous thermal transport with uncertainty quantification for interpretive 2-D SOL models
Yichen Fu, Ben Dudson, Xiao Chen +4
The critical task of inferring anomalous cross-field transport coefficients is addressed in simulations of boundary plasmas with fluid models. A workflow for parameter inference in…
stat.CO2018
High-dimensional Stochastic Inversion via Adjoint Models and Machine Learning
Charanraj A. Thimmisetty, Wenju Zhao, Xiao Chen +2
Performing stochastic inversion on a computationally expensive forward simulation model with a high-dimensional uncertain parameter space (e.g. a spatial random field) is computati…
physics.comp-ph2014★ 1 cited
A Flexible Uncertainty Quantification Framework for General Multi-Physics Systems
Akshay Mittal, Xiao Chen, Charles Tong +1
We present a "module-based hybrid" Uncertainty Quantification (UQ) framework for general nonlinear multi-physics simulation. The proposed methodology, introduced in [\hyperlink{ref…