| Deep Learning Algorithms for Detecting Combustion Instabilities T Gangopadhyay, A Locurto, JB Michael, S Sarkar Dynamics and Control of Energy Systems, 283-300, 2020 | 20 | 2020 |
| High-speed visible supercontinuum laser absorption spectroscopy of metal oxides A LoCurto, M Welch, T Sippel, J Michael Opt. Lett 46 (13), 583-586, 2021 | 12 | 2021 |
| Characterizing combustion instability using deep convolutional neural network T Gangopadhyay, A Locurto, P Boor, JB Michael, S Sarkar ASME 2018 Dynamic Systems and Control Conference, 2018 | 11 | 2018 |
| Interpretable Deep Learning for Monitoring Combustion Instability T Gangopadhyay, SY Tan, A LoCurto, JB Michael, S Sarkar IFAC-PapersOnLine 53 (2), 832-837, 2020 | 7 | 2020 |
| An explainable framework using deep attention models for sequential data in combustion systems T Gangopadhyay, SY Tan, A Locurto, JB Michael, S Sarkar NeurIPS 2019 Workshop on Machine Learning and the Physical Sciences (NeurIPS …, 0 | 6* | |
| Characterization of Time-Domain Supercontinuum Absorption Spectroscopy for Water Vapor in the NIR for Combustion Applications AC LoCurto, K Zhu, TR Sippel, JB Michael AIAA Scitech 2019 Forum, 1608, 2019 | 2 | 2019 |
| Imaging of propellant flame structure with femtosecond two-photon laser-induced fluorescence of CN K Zhu, SJ Barkley, AC LoCurto, TR Sippel, JB Michael AIAA Scitech 2020 Forum, 0769, 2020 | | 2020 |
