Output-based adaptive aerodynamic simulations using convolutional neural networks

Inverse Design of Airfoil Using a Deep Convolutional Neural Network

(2019) Vinothkumar Sekar et al.   AIAA JOURNAL

Machine-learning error models for approximate solutions to parameterized systems of nonlinear equations

(2019) Brian A. Freno et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

ConvPDE-UQ: Convolutional neural networks with quantified uncertainty for heterogeneous elliptic partial differential equations on varied domains

(2019) Nick Winovich et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Prediction of aerodynamic flow fields using convolutional neural networks

(2019) Saakaar Bhatnagar et al.   COMPUTATIONAL MECHANICS

A data-driven framework for error estimation and mesh-model optimization in system-level thermal-hydraulic simulation

(2019) Han Bao et al.   NUCLEAR ENGINEERING AND DESIGN

Effective adjoint approaches for computational fluid dynamics

(2019) Gaetan K.W. Kenway et al.   PROGRESS IN AEROSPACE SCIENCES

Machine-learning based error prediction approach for coarse-grid Computational Fluid Dynamics (CG-CFD)

(2019) Botros N. Hanna et al.   PROGRESS IN NUCLEAR ENERGY

Bayesian deep convolutional encoder–decoder networks for surrogate modeling and uncertainty quantification

(2018) Yinhao Zhu et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Turbulence Modeling in the Age of Data

(2018) Karthik Duraisamy et al.   Annual Review of Fluid Mechanics

An optimization-based framework for anisotropic hp-adaptation of high-order discretizations

(2018) N. Ringue et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Multivariate predictions of local reduced-order-model errors and dimensions

(2017) Azam Moosavi et al.   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING

A paradigm for data-driven predictive modeling using field inversion and machine learning

(2016) Eric J. Parish et al.   JOURNAL OF COMPUTATIONAL PHYSICS

The ROMES Method for Statistical Modeling of Reduced-Order-Model Error

(2015) Martin Drohmann et al.   SIAM-ASA Journal on Uncertainty Quantification

Bayesian calibration of the constants of the k–ε turbulence model for a CFD model of street canyon flow

(2014) Serge Guillas et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Adjoint-based airfoil optimization with discretization error control

(2014) D. Li et al.   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS

Drag Prediction Using Adaptive Discontinuous Finite Elements

(2014) Marco Ceze et al.   JOURNAL OF AIRCRAFT

PDE-constrained optimization with error estimation and control

(2014) J.E. Hicken et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Anisotropic hp-Adaptation Framework for Functional Prediction

(2012) Marco Ceze et al.   AIAA JOURNAL

An optimization-based framework for anisotropic simplex mesh adaptation

(2012) Masayuki Yano et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Review of Output-Based Error Estimation and Mesh Adaptation in Computational Fluid Dynamics

(2011) Krzysztof J. Fidkowski et al.   AIAA JOURNAL

Predicting goal error evolution from near-initial-information: A learning algorithm

(2011) Florian Rauser et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Fully anisotropic goal-oriented mesh adaptation for 3D steady Euler equations

(2010) A. Loseille et al.   JOURNAL OF COMPUTATIONAL PHYSICS

An Entropy Adjoint Approach to Mesh Refinement

(2010) Krzysztof J. Fidkowski et al.   SIAM JOURNAL ON SCIENTIFIC COMPUTING

Adjoint-based h–p adaptive discontinuous Galerkin methods for the 2D compressible Euler equations

(2009) Li Wang et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Analysis of Dual Consistency for Discontinuous Galerkin Discretizations of Source Terms

(2009) Todd A. Oliver et al.   SIAM JOURNAL ON NUMERICAL ANALYSIS