| Digital twin approach for damage-tolerant mission planning under uncertainty PM Karve, Y Guo, B Kapusuzoglu, S Mahadevan, MA Haile Engineering Fracture Mechanics 225, 106766, 2020 | 121 | 2020 |
| Physics-informed and hybrid machine learning in additive manufacturing: application to fused filament fabrication B Kapusuzoglu, S Mahadevan Jom 72 (12), 4695-4705, 2020 | 64 | 2020 |
| Information fusion and machine learning for sensitivity analysis using physics knowledge and experimental data B Kapusuzoglu, S Mahadevan Reliability Engineering & System Safety 214, 107712, 2021 | 40 | 2021 |
| Discrete eigenseparation-based reduced order homogenization method for failure modeling of composite materials C Oskay, Z Su, B Kapusuzoglu Computer Methods in Applied Mechanics and Engineering 359, 112656, 2020 | 26 | 2020 |
| Adaptive surrogate modeling for high-dimensional spatio-temporal output B Kapusuzoglu, S Mahadevan, S Matsumoto, Y Miyagi, D Watanabe Structural and Multidisciplinary Optimization 65 (10), 300, 2022 | 11 | 2022 |
| Process Optimization Under Uncertainty for Improving the Bond Quality of Polymer Filaments in Fused Filament Fabrication B Kapusuzoglu, M Sato, S Mahadevan, P Witherell Journal of Manufacturing Science and Engineering 143 (2), 2020 | 11 | 2020 |
| Multi-objective optimization under uncertainty of part quality in fused filament fabrication B Kapusuzoglu, P Nath, M Sato, S Mahadevan, P Witherell ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2022 | 5 | 2022 |
| Dimension reduction for efficient surrogate modeling in high-dimensional applications B Kapusuzoglu, Y Guo, S Mahadevan, S Matsumoto, M Yoshitomo, ... AIAA SCITECH 2022 Forum, 1440, 2022 | 4 | 2022 |
| Multi-Level Bayesian Calibration of a Multi-Component Dynamic System Model B Kapusuzoglu, S Mahadevan, S Matsumoto, Y Miyagi, D Watanabe Journal of Computing and Information Science in Engineering 23 (1), 011006, 2023 | 2 | 2023 |
| Modeling of turbulent two-phase stratified flow B Kapusuzoğlu | 2 | 2016 |
| Physics-Informed Machine Learning for Uncertainty Quantification and Optimization B Kapusuzoglu Vanderbilt University, 2022 | | 2022 |
| Digital twin approach for intelligent operation planning and health management of mechanical systems P Karve, Y Guo, B Kapusuzoglu, S Mahadevan, M Haile Annual Conference of the PHM Society 12 (1), 9-9, 2020 | | 2020 |
| Fatigue Crack Growth Diagnosis and Prognosis for Damage-Adaptive Operation of Mechanical Systems PM Karve, Y Guo, B Kapusuzoglu, S Mahadevan, MA Haile Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2020 | | 2020 |
| Resilience-enhancing operations of aerostructural systems under uncertainty: a digital twin approach PM Karve, YG Guo, B Kapusuzoglu, S Mahadevan, MA Haile AIAA Scitech 2020 Forum, 1655, 2020 | | 2020 |
Sankaran MahadevanJohn R. Murray Sr. Professor of Engineering在 vanderbilt.edu 的电子邮件经过验证
Sankaran MahadevanJohn R. Murray Sr. Professor of Engineering在 vanderbilt.edu 的电子邮件经过验证
Paul WitherellNIST在 nist.gov 的电子邮件经过验证