Johns Hopkins Turbulence Databases

Publications and abstracts:

	●	Yi Li, Eric Perlman, Minping Wan, Yunke Yang, Charles Meneveau, Randal Burns, Shiyi Chen, Alexander Szalay, and Gregory Eyink. A public turbulence database cluster and applications to study Lagrangian evolution of velocity increments in turbulence. Journal of Turbulence, 9:N31, 2008. [ DOI | arXiv ]
	●	Huidan Yu, Kalin Kanov, Eric Perlman, Jason Graham, Edo Frederix, Randal Burns, Alexander Szalay, Gregory Eyink, and Charles Meneveau. Studying Lagrangian dynamics of turbulence using on-demand fluid particle tracking in a public turbulence database. Journal of Turbulence, 13:N12, 2012. [ DOI ]
	●	Eric Perlman, Randal Burns, Yi Li, and Charles Meneveau. Data exploration of turbulence simulations using a database cluster. In Proceedings of the 2007 ACM/IEEE conference on Supercomputing - SC '07, page 1, New York, New York, USA, 2007. ACM Press. [ DOI ]
	●	J. Graham, K. Kanov, X. I. A. Yang, M. Lee, N. Malaya, C. C. Lalescu, R. Burns, G. Eyink, A. Szalay, R. D. Moser, and C. Meneveau. A Web services accessible database of turbulent channel flow and its use for testing a new integral wall model for LES. Journal of Turbulence, 17(2):181-215, 2016. [ DOI ]
	●	Xiaodan Wang, Eric Perlman, Randal Burns, Tanu Malik, Tamas Budavári, Charles Meneveau, and Alexander Szalay. JAWS: Job-Aware Workload Scheduling for the Exploration of Turbulence Simulations. In 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, pages 1-11. IEEE, 2010. [ DOI ]
	●	Kalin Kanov, Eric Perlman, Randal Burns, Yanif Ahmad, and Alexander Szalay. I/O streaming evaluation of batch queries for data-intensive computational turbulence. In Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis on - SC '11, page 1, New York, New York, USA, 2011. ACM Press. [ DOI ]
	●	Kalin Kanov, Randal Burns, Greg Eyink, Charles Meneveau, and Alexander Szalay. Data-intensive spatial filtering in large numerical simulation datasets. In 2012 International Conference for High Performance Computing, Networking, Storage and Analysis, pages 1-9. IEEE, 2012. [ DOI ]
	●	Zhao Wu, Jin Lee, Charles Meneveau, and Tamer Zaki. Application of a self-organizing map to identify the turbulent-boundary-layer interface in a transitional flow. Physical Review Fluids, 4(2):023902, 2019. [ DOI ]

Sample publications of Turbulence Database usage: