Faisal As'ad
Ph.D. Student in Aeronautics and Astronautics, admitted Autumn 2020
Masters Student in Aeronautics and Astronautics, admitted Autumn 2019
All Publications
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A staggered training framework for mechanics-informed neural networks in tractable multiscale homogenization with application to woven fabrics
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
2026; 452
View details for DOI 10.1016/j.cma.2025.118666
View details for Web of Science ID 001663849700001
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Permeability Modeling of the Mars 2020 Parachute Broadcloth Material
AIAA JOURNAL
2025
View details for DOI 10.2514/1.J065509
View details for Web of Science ID 001541504900001
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Sensitivity Analysis and Validation of a Computational Framework for Supersonic Parachute Inflation Dynamics
AIAA JOURNAL
2024
View details for DOI 10.2514/1.J064791
View details for Web of Science ID 001378754800001
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Permeability Modeling of Mars Parachute Broadcloth Materials
AMER INST AERONAUTICS & ASTRONAUTICS. 2024
View details for Web of Science ID 001397134405001
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Sensitivity Analysis and Validation of a Computational Framework for Supersonic Parachute Inflation Dynamics
AMER INST AERONAUTICS & ASTRONAUTICS. 2024
View details for Web of Science ID 001397464104034
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A mechanics-informed deep learning framework for data-driven nonlinear viscoelasticity
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
2023; 417
View details for DOI 10.1016/j.cma.2023.116463
View details for Web of Science ID 001086045500001
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Reprint of: Robust and globally efficient reduction of parametric, highly nonlinear computational models and real time online performance
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
2022; 402
View details for DOI 10.1016/j.cma.2022.115747
View details for Web of Science ID 000897844700012
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Robust and globally efficient reduction of parametric, highly nonlinear computational models and real time online performance
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
2022; 399
View details for DOI 10.1016/j.cma.2022.115392
View details for Web of Science ID 000838851400004
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A mechanics-informed artificial neural network approach in data-driven constitutive modeling
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
2022
View details for DOI 10.1002/nme.6957
View details for Web of Science ID 000765500200001
https://orcid.org/0000-0002-8538-9283