C-start: optimal start of larval fish
By Mattia Gazzola, W. V. Rees, Petros Koumoutsakos. Journal of Fluid Mechanics, 2012
155 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computational Mechanics, Condensed Matter Physics
View Paper: https://www.semanticscholar.org/paper/2803e2e8baeca32e0bae3fd3a404a28eec13be38
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Steven L. Brunton
- Bernd R. Noack
- L. Mahadevan
- Médéric Argentina
- Mattia Gazzola
- Petros Koumoutsakos
- J. Nathan Kutz
- Joshua L. Proctor
In Computational Mechanics
- Steven L. Brunton
- Bernd R. Noack
- L. Mahadevan
- Médéric Argentina
- Petros Koumoutsakos
- Mattia Gazzola
- J. Nathan Kutz
- Joshua L. Proctor
In Condensed Matter Physics
- L. Mahadevan
- Médéric Argentina
- Bernd R. Noack
- Steven L. Brunton
- Mattia Gazzola
- Petros Koumoutsakos
- Alexander J Smits
Citations in the corpus
- Machine Learning for Fluid Mechanics (2019, background): “…include aerodynamic shape optimization (Giannakoglou et al. 2006), uninhabited aerial vehicles (UAVs) (Hamdaoui et al. 2010), shape and motion optimization in artificial swimmers (Gazzola et al. 2012; Van Rees et al. 2015), and improved power extraction in crossflow turbines (Strom et al. 2017).”
- Scaling macroscopic aquatic locomotion (2014, methodology): “Furthermore, it has been verified against experimental observations of larval zebrafish fast starts [35, 36] and applied to a number of engineering and biological problems [37, 36, 38].”