Global weak solutions and absorbing sets in a chemotaxis-Navier-Stokes system with prescribed signal concentration on the boundary
T. Black, M. Winkler, Mathematical Models & Methods in Applied Sciences 32 (2022) 137–173.
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Author
Black, TobiasLibreCat 
;
Winkler, Michael
;
Winkler, MichaelDepartment
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Journal Title
Mathematical Models & Methods in Applied Sciences
Volume
32
Issue
1
Page
137-173
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Black T, Winkler M. Global weak solutions and absorbing sets in a chemotaxis-Navier-Stokes system with prescribed signal concentration on the boundary. Mathematical Models & Methods in Applied Sciences. 2022;32(1):137-173. doi:10.1142/s021820252250004x
Black, T., & Winkler, M. (2022). Global weak solutions and absorbing sets in a chemotaxis-Navier-Stokes system with prescribed signal concentration on the boundary. Mathematical Models & Methods in Applied Sciences, 32(1), 137–173. https://doi.org/10.1142/s021820252250004x
@article{Black_Winkler_2022, title={Global weak solutions and absorbing sets in a chemotaxis-Navier-Stokes system with prescribed signal concentration on the boundary}, volume={32}, DOI={10.1142/s021820252250004x}, number={1}, journal={Mathematical Models & Methods in Applied Sciences}, author={Black, Tobias and Winkler, Michael}, year={2022}, pages={137–173} }
Black, Tobias, and Michael Winkler. “Global Weak Solutions and Absorbing Sets in a Chemotaxis-Navier-Stokes System with Prescribed Signal Concentration on the Boundary.” Mathematical Models & Methods in Applied Sciences 32, no. 1 (2022): 137–73. https://doi.org/10.1142/s021820252250004x.
T. Black and M. Winkler, “Global weak solutions and absorbing sets in a chemotaxis-Navier-Stokes system with prescribed signal concentration on the boundary,” Mathematical Models & Methods in Applied Sciences, vol. 32, no. 1, pp. 137–173, 2022, doi: 10.1142/s021820252250004x.
Black, Tobias, and Michael Winkler. “Global Weak Solutions and Absorbing Sets in a Chemotaxis-Navier-Stokes System with Prescribed Signal Concentration on the Boundary.” Mathematical Models & Methods in Applied Sciences, vol. 32, no. 1, 2022, pp. 137–73, doi:10.1142/s021820252250004x.
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