Journal Articles

2024

Kearney, G. M., Laurent, K. M., & Kearney, R. V. (2024). Maximum likelihood filtering for particle tracking in turbulent flows. Experiments in Fluids, 65(2), 24.

2022

Laurent, K., La Ragione, L., Jenkins, J. T., & Bewley, G. P. (2022). How vertical oscillatory motion above a saturated sand bed leads to heap formation. Physical Review E, 105(5), 054901.

2021

Laurent, K., Fogg, B., Ginsburg, T., Halverson, C., Lanzone, M., Miller, T., Winkler, D. & Bewley, G. P. (2021). Turbulence explains the accelerations of an eagle in natural flight. Proceedings of the National Academy of Sciences, 118(23).

2021

Kelly, S. W., Vartabedian, T. M., Gist, E. D., & Glauser, M. N. (2021). Neural network noise prediction for a complex supersonic rectangular jet nozzle. In AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2021 (pp. 1-10). American Institute of Aeronautics and Astronautics Inc, AIAA.

Gist, E. D., Kelly, S., Vartabedian, T., Chatterjee, R., Doshi, P. S., Glauser, M. N., & Gaitonde, D. V. (2021). Effects of Geometric Modifications on a Complex Multi-Stream Supersonic Rectangular Nozzle. In AIAA Scitech 2021 Forum (p. 1559).

Kelly, S., Vartabedian, T., Gist, E. D., & Glauser, M. N. (2021). Neural Network Flow Prediction for a Complex Supersonic Rectangular Nozzle. In AIAA Scitech 2021 Forum (p. 1691).

Doshi, P. S., Ranjan, R., Liu, Q., Gist, E. D., Gaitonde, D. V., & Glauser, M. N. (2021). Toward a passive control strategy for a supersonic multi-stream flow using resolvent analysis. In AIAA Scitech 2021 Forum (p. 1557).

2020

Tenney, A. S., Glauser, M. N., Ruscher, C. J., & Berger, Z. P. (2020). Application of artificial neural networks to stochastic estimation and jet noise modeling. AIAA journal.

Gist, E. D., Doshi, P. S., Kelly, S. W., Gaitonde, D. V., & Glauser, M. N. (2020). Exploratory Passive Control Study of a Supersonic Multi-Stream Nozzle Flow. In AIAA AVIATION 2020 FORUM (p. 2952).

Wang, N., DiDominic, D., Vartabedian, T. M., Sanyal, A. K., & Glauser, M. N. (2020). Interactions Between Upstream Turbulent Flow and Quadrotor Thruster Dynamic Performance. In AIAA Scitech 2020 Forum (p. 1508).

DiDominic, D., Gist, E., Fitzgerald, J., & Glauser, M. N. (2020). Complex Nozzle Optimization Techniques using Machine Learning. In AIAA Scitech 2020 Forum (p. 1866).

2019

Tenney, A. S., Glauser, M. N., & Berger, Z. P. (2019). Stochastic estimation using modern methods in machine learning. In AIAA Scitech 2019 Forum (p. 0324).

Ruscher, C. J., Gogineni, S., Tenney, A. S., & Glauser, M. N. (2019). Jet noise prediction via low-order machine learning. In AIAA Scitech 2019 Forum (p. 0547).

2018

Ruscher, C. J., Magstadt, A. S., Berry, M. G., Glauser, M. N., Shea, P. R., Viswanath, K., Corrigan, A., Gogineni, S., Kiel, B. V., & Giese, A. J. (2018). Investigation of a supersonic jet from a three-stream engine nozzle. AIAA journal, 56(4), 1554-1568.

Velarde, J. M., Connors, J. N., Berry, M., Ali, M. Y., & Glauser, M. N. (2018). Experimental Characterization of UAS Flow Fields Through Hotwire Anemometry and PIV. In 2018 Applied Aerodynamics Conference (p. 4121).

Tenney, A. S., Glauser, M. N., & Lewalle, J. (2018). A deep learning approach to jet noise prediction. In 2018 AIAA Aerospace Sciences Meeting (p. 1736).

Ruscher, C. J., Gogineni, S. P., Magstadt, A. S., Berry, M. G., & Glauser, M. N. (2018). Data Fusion to Improve Supersonic Jet Data. In 2018 AIAA Aerospace Sciences Meeting (p. 1735).

Magstadt, A. S., & Glauser, M. N. (2018). Stereo PIV Measurements in a Multi-stream, Rectangular, Supersonic Jet. In 2018 AIAA Aerospace Sciences Meeting (p. 0054).

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