| Harnessing deep learning for physics-informed prediction of composite strength with microstructural uncertainties K Zhou, H Sun, R Enos, D Zhang, J Tang Computational Materials Science 197, 110663, 2021 | 33 | 2021 |
| Uncertainty analysis of curing-induced dimensional variability of composite structures utilizing physics-guided Gaussian process meta-modeling K Zhou, R Enos, D Zhang, J Tang Composite Structures 280, 114816, 2022 | 27 | 2022 |
| Hierarchical multi-response Gaussian processes for uncertainty analysis with multi-scale composite manufacturing simulation K Zhou, R Enos, D Xu, D Zhang, J Tang Computational Materials Science 207, 111257, 2022 | 6 | 2022 |
| Integrated optimization framework for composite manufacturing: Minimizing spring-in effects and improving cure cycles R Enos, D Zhang, Q Wei American Society for Composites (ASC) 38th Annual Technical Conference, 2023 | 3 | 2023 |
| Analysis of microstructure uncertainty propagation in fibrous composites empowered by physics-informed, semi-supervised machine learning Q Zhou, RS Enos, K Zhou, H Sun, D Zhang, J Tang Computational Materials Science 246, 113423, 2025 | 2 | 2025 |
| The Design, Fabrication, and Inspection of Tow-Steered Composite Panels Including the Effects of Intentional Defects CJR Kosztowny, TB Hudson, RS Enos, PD Juarez, ED Gregory SAMPE 2024, 2024 | 2 | 2024 |
| Effects of manufacturing processes on progressive damage of composites SK Meka, RS Enos, D Zhang ASME Aerospace Structures, Structural Dynamics, and Materials Conference …, 2023 | 2 | 2023 |
| A Multiphysics Coupling of Resin Infusion and Deformation of Fiber Preform Using Customized STAR-CCM+ and ABAQUS X Li, J Lua, M Elenchezhian, RS Enos, D Zhang AIAA SCITECH 2022 Forum, 1419, 2022 | 2 | 2022 |
| Analyzing the progressive damage of composites due to manufacturing induced defects through a semi-discrete damage model SK Meka, R Enos, D Zhang American Society for Composites (ASC) 38th Annual Technical Conference, 2023 | 1 | 2023 |
| An experimentally validated hyper-viscoelastic model for the bending responses of pre-impregnated tapes under processing conditions Q Wei, Y Sun, D Zhang, R Enos American Society for Composites (ASC) 38th Annual Technical Conference, 2023 | 1 | 2023 |
| Integration of Physics-based Models and In-situ Process Monitoring for Predicting Variability Associated with Liquid Composites Molding RS Enos, D Zhang, X Li, J Lua AIAA SCITECH 2023 Forum, 0521, 2023 | 1 | 2023 |
| Effect of Fiber Waviness on Processing and Performance of Textile Composites RS Enos, D Zhang AIAA SCITECH 2022 Forum, 0505, 2022 | 1 | 2022 |
| An Integrated Physics-Based Multiscale Modeling Framework for Advancing Thermoset Composites Manufacturing Processes RS Enos Purdue University Graduate School, 2024 | | 2024 |
| Detection and Localization of a Fold, Twist, and Overlaps within Tow-Steered Composite Panels During Autoclave Cure TB Hudson, CJR Kosztowny, NA Georgiou, RS Enos American Society for Composites 39th Annual Technical Conference, 2024 | | 2024 |
| Progressive Damage Analysis of Curved Composite Laminates Incorporating Effects of Manufacturing Using a Semi-Discrete Damage Model SK Meka, R Enos, J Roach, D Zhang ASME Aerospace Structures, Structural Dynamics, and Materials Conference …, 2024 | | 2024 |
| Integrated Flow and Stress Modeling for Infusion and Curing Process in Liquid Composite Molding K Shrestha, R Enos, X Li, Q Wei, M Elenchezhian, D Zhang, J Lua American Society for Composites 37th Technical Conference, 2022 | | 2022 |
| Cure process modeling and characterization of composites using in-situ dielectric and fiber otpic sensor monitoring M Elenchezhian, R Enos, N Martin, S Sen, D Zhang, N Pantelelis | | 2022 |
| Manufacturing Process Modeling of Organic Matrix Composites R Enos University of Connecticut, 2021 | | 2021 |