AIMC Topic: Hydrodynamics

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Fishes Go MOO: Pareto analysis of speed and cost of transport across a 6-dimensional design space.

Bioinspiration & biomimetics
Aquatic organisms exhibit remarkable diversity in swimming strategies, even within shared modes such as body-caudal fin (BCF) propulsion. Here, we investigate the biomechanical underpinnings of BCF swimming by mapping performance trade-offs across a ...

Mechanics of small intestine motility for oral macromolecular delivery: modelling segmentation versus peristalsis.

Drug delivery
Intestinal motility, including peristalsis and segmentation, drives complex fluid movements critical for the oral delivery of biologics and other macromolecules. Despite advances, oral delivery remains commercially limited by low bioavailability, oft...

Identification and velocity measurement of microplastics based on machine learning.

Water research
The settling velocity of microplastics (MPs) is a critical parameter for understanding their migration and behavior in aquatic environments. Conventional methods typically focus on tracking individual MPs and often face significant challenges in capt...

Unlocking flow-habitat relationships in mountain rivers of Epirus, Greece using object detection and hydrodynamic simulation.

The Science of the total environment
Human activities impact aquatic ecosystems by altering abiotic and biotic factors, which in turn affect habitat structure and biodiversity. Environmental flows, or the necessary water flow levels to sustain ecosystems, influence fish habitats, with f...

Artificial embodied circuits uncover neural architectures of vertebrate visuomotor behaviors.

Science robotics
Brains evolve within specific sensory and physical environments, yet neuroscience has traditionally focused on studying neural circuits in isolation. Understanding of their function requires integrative brain-body testing in realistic contexts. To in...

Reinforcement learning for robust navigation of fish-like agents in various fluid environments.

Bioinspiration & biomimetics
Achieving robust and energy-efficient navigation in unknown fluid environments remains a key challenge for bioinspired underwater robots. In this study, we develop a reinforcement learning-based control framework that enables a fish-like swimmer to a...

Quantitative analysis of ferrohydrodynamics of blood containing magnetic nanocarriers for advanced drug delivery design via hybrid machine learning.

Scientific reports
Ferrohydrodynamics of blood containing magnetic nanocarriers was carried out in this study to evaluate the influence of magnetic field on the nanocarrier drug delivery formulation, with the goal of improving spatial control and efficiency in advanced...

Impact of AI-quantified fluid dynamics on visual outcomes over 5 years in patients with treatment-naïve nAMD from the FRB! registry.

Scientific reports
To investigate the impact of retinal fluid dynamics on visual outcomes in patients with treatment-naïve neovascular age-related macular degeneration (nAMD) treated in the real world over 5 years using approved AI-based fluid monitoring. Real-world da...

Sustainable and novel approaches for bioactive compound extraction: Development of hydrodynamic cavitation and coupled machine learning-spline techniques for Ascophyllum nodosum and Fucus vesiculosus.

Food chemistry
Ascophyllum nodosum and Fucus vesiculosus brown seaweeds are rich in polyphenols, phlorotannins, proteins, and antioxidants, valuable in the food, pharmaceutical, and cosmetic industries. This study compares hydrodynamic cavitation (HC) and conventio...

Flapping-wing robot achieves bird-style self-takeoff by adopting reconfigurable mechanisms.

Science advances
Flying vertebrates use specialized wingbeat kinematics in hovering, takeoff, and landing, featuring ventrally anterior downstrokes and aerodynamically inactive upstrokes to enhance aerodynamic characteristics at low airspeeds. Rarely implemented in r...