Research output per year
Research output per year
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Dive into the research topics where Zachary P. Berger is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Application of artificial neural networks to stochastic estimation and jet noise modeling
Tenney, A. S., Glauser, M. N., Ruscher, C. J. & Berger, Z. P., 2020, In: AIAA journal. 58, 2, p. 647-658 12 p.Research output: Contribution to journal › Article › peer-review
27 Link opens in a new tab Scopus citations -
Cluster-based reduced-order modeling to capture intermittent dynamics of interacting wakes
Dare, T. P., Berger, Z. P., Meehan, M. & O’Connor, J., 2019, In: AIAA journal. 57, 7, p. 2819-2827 9 p.Research output: Contribution to journal › Article › peer-review
Open Access4 Link opens in a new tab Scopus citations -
Stereo particle shadow velocimetry for turbulent flow characterization
Harris, J., McPhail, M., Truong, C. & Berger, Z., Jan 1 2019.Research output: Contribution to conference › Paper › peer-review
1 Link opens in a new tab Scopus citations -
Stochastic estimation using modern methods in machine learning
Tenney, A. S., Glauser, M. N. & Berger, Z. P., Jan 1 2019, AIAA Scitech 2019 Forum. American Institute of Aeronautics and Astronautics Inc, AIAA, (AIAA Scitech 2019 Forum).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
2 Link opens in a new tab Scopus citations -
Velocity estimation in the mixing layer of a subsonic jet using artificial neural networks
Tenney, A. S., Glauser, M. N. & Berger, Z. P., Jan 1 2019.Research output: Contribution to conference › Paper › peer-review
1 Link opens in a new tab Scopus citations