Optimal Navigation In Active Matter
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Optimal Navigation in Active Matter
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.
Optimal Navigation in Active Matter
Motile active matter systems are composed of a collection of agents, each of which extracts energy from the surrounding environment in order to convert it into self-driven motion. At the microscopic scale, however, directed motion is hindered by the presence of stochastic fluctuations. Living microorganisms, therefore, had to develop simple yet effective propulsion and steering mechanisms in order to survive. We may turn the question of how these processes work in nature around and ask how they should work in order to perform a task in the theoretically optimal way, an issue that falls unde...
Intelligent Nanotechnology
Intelligent Nanotechnology: Merging Nanoscience and Artificial Intelligence provides an overview of advances in science and technology made possible by the convergence of nanotechnology and artificial intelligence (AI). Sections focus on AI-enhanced design, characterization and manufacturing and the use of AI to improve important material properties, with an emphasis on mechanical, photonic, electronic and magnetic properties. Designing benign nanomaterials through the prediction of their impact on biology and the environment is also discussed. Other sections cover the use of AI in the acquisition and analysis of data in experiments and AI technologies that have been enhanced through nanotechnology platforms. Final sections review advances in applications enabled by the merging of nanotechnology and artificial intelligence, including examples from biomedicine, chemistry and automated research. - Includes recent advances on AI-enhanced design, characterization and the manufacturing of nanomaterials - Reviews AI technologies that have been enabled by nanotechnology - Discusses potentially world-changing applications that could ensue as a result of merging these two fields