Faisal As'ad

Stanford University

H-index: 5

North America-United States

About Faisal As'ad

Faisal As'ad, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Constitutive Modeling, Computational Fluid Dynamics, Reduced Order Modelling, Optimization.

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

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

A Mechanics-Informed Neural Network Framework for Data-Driven Nonlinear Viscoelasticity

A mechanics‐informed artificial neural network approach in data‐driven constitutive modeling

Validation of a High-Fidelity Supersonic Parachute Inﬂation Dynamics Model and Best Practice

Update: Modeling Supersonic Parachute Inflations for Mars Spacecraft

Robust and globally efficient reduction of parametric, highly nonlinear computational models and real time online performance

Faisal As'ad Information

University	Stanford University
Position	Graduate Student
Citations(all)	124
Citations(since 2020)	124
Cited By	3
hIndex(all)	5
hIndex(since 2020)	5
i10Index(all)	3
i10Index(since 2020)	3
Email	Access Email
University Profile Page	Stanford University
Google Scholar	View Google Scholar Profile

Faisal As'ad Skills & Research Interests

Constitutive Modeling

Computational Fluid Dynamics

Reduced Order Modelling

Optimization

Top articles of Faisal As'ad

Title	Journal	Author(s)	Publication Date
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
A mechanics‐informed artificial neural network approach in data‐driven constitutive modeling	International Journal for Numerical Methods in Engineering	Faisal As' ad Philip Avery Charbel Farhat	2022/6/30
Validation of a High-Fidelity Supersonic Parachute Inﬂation Dynamics Model and Best Practice		Jason Rabinovitch Marcus Lobbia Charbel Farhat Faisal As' ad Philip Avery	2022/1/3
Update: Modeling Supersonic Parachute Inflations for Mars Spacecraft		Jason Rabinovitch Faisal As’ ad Philip Avery Charbel Farhat Navid Ataei ...	2022
Robust and globally efficient reduction of parametric, highly nonlinear computational models and real time online performance	Computer Methods in Applied Mechanics and Engineering	Radek Tezaur Faisal As’ad Charbel Farhat	2022/9/1