Featured and recent publications
Authors: Shubhangi Bansude, Reza Sheikhi
Publication date: January 2024
Cite as: Shubhangi Bansude, Reza Sheikhi; Investigation of deep learning-based filtered density function for large eddy simulation of turbulent scalar mixing. Physics of Fluids 1 January 2024; 36 (1): 015156. https://doi.org/10.1063/5.0177454
Authors: Shubhangi Bansude, Farhad Imani, Reza Sheikhi
Publication date: January 2023
Cite as: Bansude, S., Imani, F., and Sheikhi, R. Performance Assessment of Chemical Kinetics Neural Ordinary Differential Equations in Pairwise Mixing Stirred Reactor ASME Open J. Engineering ASME. January 2023 2 021008 doi: https://doi.org/10.1115/1.4056476
Authors: Shubhangi Bansude, Farhad Imani, Reza Sheikhi
Publication date: June 2022
Cite as: Bansude, S., Imani, F., and Sheikhi, R.A Data-Driven Framework for Computationally Efficient Integration of Chemical Kinetics Using Neural Ordinary Differential Equations ASME Open J. Engineering ASME. January 2023 2 021022 doi: https://doi.org/10.1115/1.4062105
Authors: Nguyen Anh Khoa Doan, Shubhangi Bansude, K Osawa, Y Minamoto, T Lu, JH Chen, N Swaminathan
Publication date: January 2021
Cite as: Doan, Nguyen Anh Khoa, et al. "Identification of combustion mode under mild conditions using chemical explosive mode analysis." Proceedings of the Combustion Institute 38.4 (2021): 5415-5422. doi: https://doi.org/10.1016/j.proci.2020.06.293
Authors: Shubhangi Bansude
Publication date: December 2023
Cite as: Bansude, Shubhangi. "Deep Learning Models for Large Eddy Simulation of Turbulent Combustion." PhD diss., University of Connecticut (2023). https://hdl.handle.net/11134/3721905