Directory at CAVS
Research Interest
Biomedical CFD
CFD-based Design Optimization
CFD-based Design Optimization
Selected PublicationsTotal Publications: 46
Bowman, J. L., Bhushan, S., Burgreen, GW, & Dettwiller, I. (2025). Development and Validation of Machine-Learned Actuator Line Model for Hydrokinetic Turbine Rotor. Journal of Fluids Engineering. ASME. 147(8), 081501. DOI:10.1115/1.4067787. [Abstract] [Document Site]
Bowman, J. L., Bhushan, S., Burgreen, GW, & Dettwiller, I. (2024). A Machine-Learned Actuator Line Model for Hydrokinetic Turbines. Proceedings of the ASME 2024 Fluids Engineering Division Summer Meeting collocated with the ASME 2024 Heat Transfer Summer Conference and the ASME 2024 18th International Conference on Energy Sustainability. Anaheim, CA: ASME. DOI:10.1115/FEDSM2024-131429. [Abstract] [Document Site]
Bowman, J. L., Bhushan, S., Burgreen, GW, & Dettwiller, I. (2021). Hydrokinetic Turbine Performance and Wake Analysis Using a Data-Driven Actuator Line Model. Proceedings of the ASME 2021 International Mechanical Engineering Congress and Exposition. Virtual Online: ASME. DOI:10.1115/IMECE2021-71957. [Abstract] [Document Site]
Bhushan, S., Burgreen, GW, Bowman, J. L., Dettwiller, I., & Brewer, W. (2020). Predictions of Steady and Unsteady Flows Using Machine-learned Surrogate Models. 2020 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC) and Workshop on Artificial Intelligence and Machine Learning for Scientific Applications (AI4S). GA, USA: IEEE. 80-87. DOI:10.1109/MLHPCAI4S51975.2020.00016. [Abstract] [Document Site]
Zhussupbekov, M., Burgreen, GW, Wu, W. T., & Antaki, J. F. (2019). Multi-scale, Multi-resolution Simulation of Thrombosis in the HVAD. 65th ASAIO Conference. San Francisco, CA.
Bowman, J. L., Bhushan, S., Burgreen, GW, & Dettwiller, I. (2024). A Machine-Learned Actuator Line Model for Hydrokinetic Turbines. Proceedings of the ASME 2024 Fluids Engineering Division Summer Meeting collocated with the ASME 2024 Heat Transfer Summer Conference and the ASME 2024 18th International Conference on Energy Sustainability. Anaheim, CA: ASME. DOI:10.1115/FEDSM2024-131429. [Abstract] [Document Site]
Bowman, J. L., Bhushan, S., Burgreen, GW, & Dettwiller, I. (2021). Hydrokinetic Turbine Performance and Wake Analysis Using a Data-Driven Actuator Line Model. Proceedings of the ASME 2021 International Mechanical Engineering Congress and Exposition. Virtual Online: ASME. DOI:10.1115/IMECE2021-71957. [Abstract] [Document Site]
Bhushan, S., Burgreen, GW, Bowman, J. L., Dettwiller, I., & Brewer, W. (2020). Predictions of Steady and Unsteady Flows Using Machine-learned Surrogate Models. 2020 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC) and Workshop on Artificial Intelligence and Machine Learning for Scientific Applications (AI4S). GA, USA: IEEE. 80-87. DOI:10.1109/MLHPCAI4S51975.2020.00016. [Abstract] [Document Site]
Zhussupbekov, M., Burgreen, GW, Wu, W. T., & Antaki, J. F. (2019). Multi-scale, Multi-resolution Simulation of Thrombosis in the HVAD. 65th ASAIO Conference. San Francisco, CA.