Charbel Farhat

Charbel Farhat

Stanford University

H-index: 95

North America-United States

About Charbel Farhat

Charbel Farhat, With an exceptional h-index of 95 and a recent h-index of 50 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Aeroelasticity, Computational Fluid Dynamics, Computational Mathematics, Finite Element Analysis, Fluid Structure Interaction.

His recent articles reflect a diverse array of research interests and contributions to the field:

Multimodal Data-Assimilation using the Nonparametric Probabilistic Method for Model-Form Uncertainty Quantification, Stochastic Model Updating, and Digital Twinning

A few words about Roland Glowinski

Bottom-up hierarchical and categorical metacomputing for automating composition and deployment of directly computable multiphysics models

Assessment of Projection-Based Model Order Reduction for a Benchmark Hypersonic Flow Problem

Discernment of Wall Functions and Turbulence Statistics for Common Supersonic Retropropulsion Configurations

Acceleration of a physics-based machine learning approach for modeling and quantifying model-form uncertainties and performing model updating

Physics informed and data-based augmented learning in structural health diagnosis

Mitigating the kolmogorov barrier for the reduction of aerodynamic models using neural-network-augmented reduced-order models

Charbel Farhat Information

University

Position

Vivian Church Hoff Professor in the School of Engineering

Citations(all)

36698

Citations(since 2020)

9547

Cited By

31251

hIndex(all)

95

hIndex(since 2020)

50

i10Index(all)

313

i10Index(since 2020)

170

Email

University Profile Page

Google Scholar

Charbel Farhat Skills & Research Interests

Aeroelasticity

Computational Fluid Dynamics

Computational Mathematics

Finite Element Analysis

Fluid Structure Interaction

Top articles of Charbel Farhat

Title

Journal

Author(s)

Publication Date

Multimodal Data-Assimilation using the Nonparametric Probabilistic Method for Model-Form Uncertainty Quantification, Stochastic Model Updating, and Digital Twinning

Marie Jo Azzi

Charbel Farhat

2024

A few words about Roland Glowinski

Journal of Computational Physics

Rémi Abgrall

Charbel Farhat

Olivier Pironneau

2024/5

Bottom-up hierarchical and categorical metacomputing for automating composition and deployment of directly computable multiphysics models

Journal of Computational Science

JG Michopoulos

AP Iliopoulos

C Farhat

P Avery

G Daeninck

...

2024/4/18

Assessment of Projection-Based Model Order Reduction for a Benchmark Hypersonic Flow Problem

Matthew R Chmiel

Joshua L Barnett

Charbel Farhat

2024

Discernment of Wall Functions and Turbulence Statistics for Common Supersonic Retropropulsion Configurations

Emily Jewell

Charbel Farhat

2023

Acceleration of a physics-based machine learning approach for modeling and quantifying model-form uncertainties and performing model updating

Journal of Computing and Information Science in Engineering

Marie-Jo Azzi

Chady Ghnatios

Philip Avery

Charbel Farhat

2023/2/1

Physics informed and data-based augmented learning in structural health diagnosis

Computer Methods in Applied Mechanics and Engineering

D Di Lorenzo

V Champaney

JY Marzin

C Farhat

F Chinesta

2023/9/1

Mitigating the kolmogorov barrier for the reduction of aerodynamic models using neural-network-augmented reduced-order models

Joshua L Barnett

Charbel Farhat

Yvon Maday

2023

Aerodynamic optimization with large shape and topology changes using a differentiable embedded boundary method

Journal of Computational Physics

Jonathan Ho

Charbel Farhat

2023/9/1

Nonlinear compressive reduced basis approximation for PDE’s

Comptes Rendus. Mécanique

Albert Cohen

Charbel Farhat

Yvon Maday

Agustin Somacal

2023

A mechanics-informed deep learning framework for data-driven nonlinear viscoelasticity

Computer Methods in Applied Mechanics and Engineering

Faisal As’ad

Charbel Farhat

2023/12/1

A mechanics-informed neural network framework for data-driven nonlinear viscoelasticity

Faisal As' ad

Charbel Farhat

2023

Physics-based digital twinning

Charbel Farhat

Marie-José Azzi

Marco Pavone

Christian Soize

2023/7/23

Local Basis Approach for the Reduction of CFD-Based Embedded Boundary Models

Noah Youkilis

Charbel Farhat

2023

Displacement‐based partitioned equations of motion for structures: Formulation and proof‐of‐concept applications

International Journal for Numerical Methods in Engineering

KC Park

JA González

YH Park

SJ Shin

JG Kim

...

2023/11/30

Recent enhancements of the nonparametric probabilistic method for UQ and digital twinning

Marie-José Azzi

Charbel Farhat

Christian Soize

2023/7/23

Nonlinear projection-based model order reduction in the presence of adaptive mesh refinement

Clayton Little

Charbel Farhat

2023

Projection-Based Dimensional Reduction of Adaptively Refined Nonlinear Models

Communications on Applied Mathematics and Computation

Clayton Little

Charbel Farhat

2023/11/22

Enhancing the Performance and Robustness of a Non-Parametric Probabilistic Method for Uncertainty Quantification and Model Updating

Marie Jo Azzi

Charbel Farhat

2023

Neural-network-augmented projection-based model order reduction for mitigating the Kolmogorov barrier to reducibility

Journal of Computational Physics

Joshua Barnett

Charbel Farhat

Yvon Maday

2023/11/1

See List of Professors in Charbel Farhat University(Stanford University)

Co-Authors

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