03353nam a22005415i 4500 978-3-031-52577-3 DE-He213 20251030111450.0 cr nn 008mamaa 240228s2024 sz | s |||| 0|eng d 9783031525773 978-3-031-52577-3 10.1007/978-3-031-52577-3 doi Q295 GPFC bicssc SCI064000 bisacsh GPFC thema Piro, Lorenzo. author. aut http://id.loc.gov/vocabulary/relators/aut 71970 Optimal Navigation in Active Matter [electronic resource] / by Lorenzo Piro. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XII, 122 p. 47 illus., 46 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Springer Theses, Recognizing Outstanding Ph.D. Research, 2190-5061 Introduction -- Optimal navigation strategies for active particles on curved surfaces -- Efficiency of navigation strategies for active particles in rugged landscapes -- Optimal navigation in complex and noisy environments -- Towards a more realistic description of optimal navigation. Efficient navigation in terms of travel time and energy dissipation is of crucial importance for biological micro-swimmers. The design of optimally navigating artificial swimmers also has potentially valuable applications such as targeted drug delivery, which has become an increasingly realistic perspective due to the recent progress in the experimental realization of controllable microswimmers able to perform nontrivial tasks. Despite recent theoretical progress, the field still faces open challenges, notably in describing navigation problems that take into account the complexities of the world of microswimmers. This book presents a selection of works on the problem of optimal microswimmer navigation that represent a significant advance in this direction. The material in this book provides important insights into how efficient navigation may be achieved in the presence of curved space geometry, confining forces and flows, as well as thermal fluctuations. Finally, the energetic cost of navigation is addressed via a new formulation of the problem that accounts for the swimmer body geometry. System theory. 66519 Materials science. 65330 Molecular dynamics. 71971 Complex Systems. 66520 Materials Science. 65330 Molecular Dynamics. 71972 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031525766 Printed edition: 9783031525780 Printed edition: 9783031525797 Springer Theses, Recognizing Outstanding Ph.D. Research, 2190-5061 66370 https://doi.org/10.1007/978-3-031-52577-3 ZDB-2-PHA ZDB-2-SXP 57958 57958