Navid Zobeiry 
- (2023): Bayesian parameter estimation for the inclusion of uncertainty in progressive damage simulation of composites. In: Composite Structures, v. 321 (October 2023).
- (2022): Development of aviation industry-oriented methodology for failure predictions of brittle bonded joints using probabilistic machine learning. In: Composite Structures, v. 297 (October 2022).
- (2022): An efficient multi-scale approach for viscoelastic analysis of woven composites under bending. In: Composite Structures, v. 292 (July 2022).
- (2021): Machine learning assisted characterisation and simulation of compressive damage in composite laminates. In: Composite Structures, v. 273 (October 2021).
- (2021): Virtual Characterization of Nonlocal Continuum Damage Model Parameters using a High Fidelity Finite Element Model. In: Composite Structures, v. 256 (January 2021).
- (2020): Theory-guided machine learning for damage characterization of composites. In: Composite Structures, v. 246 (August 2020).
- (2018): Measuring the negative pressure during processing of advanced composites. In: Composite Structures, v. 203 (November 2018).
- (2019): Strain-Softening Response and Failure Prediction in Notched Oriented Strand Board. In: Journal of Materials in Civil Engineering (ASCE), v. 31, n. 6 (June 2019).
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