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Rheology

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Lignin-Incorporated Nanogel Serving As an Antioxidant Biomaterial for Wound Healing.

ACS applied bio materials
Oxidative phosphorylation is an important biological process in the body to produce energy, during which oxygen free radicals are generated as byproduct. Excessive oxygen free radicals cause cell death and reduce the rate of tissue regeneration and h...

Rheological and Dielectric Behavior of 3D-Printable Chitosan/Graphene Oxide Hydrogels.

ACS biomaterials science & engineering
The effect of concentration, temperature, and the addition of graphene oxide (GO) nanosheets on the rheological and dielectric behavior of chitosan (CS) solutions, which influences the formation of the blend materials for various applications includi...

Autonomic perspiration in 3D-printed hydrogel actuators.

Science robotics
In both biological and engineered systems, functioning at peak power output for prolonged periods of time requires thermoregulation. Here, we report a soft hydrogel-based actuator that can maintain stable body temperatures via autonomic perspiration....

Flowfields produced by a robotic sea lion foreflipper starting from rest.

Bioinspiration & biomimetics
Sea lions swim using primarily their foreflippers, which is uncommon among aquatic mammals. While a significant body of literature exists which investigates the hydrodynamics of body-caudal swimming, relatively little research has looked at sea lion ...

Machine learning-based design strategy for 3D printable bioink: elastic modulus and yield stress determine printability.

Biofabrication
Although three-dimensional (3D) bioprinting technology is rapidly developing, the design strategies for biocompatible 3D-printable bioinks remain a challenge. In this study, we developed a machine learning-based method to design 3D-printable bioink u...

Flow driven robotic navigation of microengineered endovascular probes.

Nature communications
Minimally invasive medical procedures, such as endovascular catheterization, have considerably reduced procedure time and associated complications. However, many regions inside the body, such as in the brain vasculature, still remain inaccessible due...

Machine learning enables design automation of microfluidic flow-focusing droplet generation.

Nature communications
Droplet-based microfluidic devices hold immense potential in becoming inexpensive alternatives to existing screening platforms across life science applications, such as enzyme discovery and early cancer detection. However, the lack of a predictive un...

Artificial intelligence velocimetry and microaneurysm-on-a-chip for three-dimensional analysis of blood flow in physiology and disease.

Proceedings of the National Academy of Sciences of the United States of America
Understanding the mechanics of blood flow is necessary for developing insights into mechanisms of physiology and vascular diseases in microcirculation. Given the limitations of technologies available for assessing in vivo flow fields, in vitro method...

Ultrasound deep learning for monitoring of flow-vessel dynamics in murine carotid artery.

Ultrasonics
Several arterial diseases are closely related with mechanical properties of the blood vessel and interactions of flow-vessel dynamics such as mean flow velocity, wall shear stress (WSS) and vascular strain. However, there is an opportunity to improve...

Rapid Temperature-Dependent Rheological Measurements of Non-Newtonian Solutions Using a Machine-Learning Aided Microfluidic Rheometer.

Analytical chemistry
Biofluids such as synovial fluid, blood plasma, and saliva contain several proteins which impart non-Newtonian properties to the biofluids. The concentration of such protein macromolecules in biofluids is regarded as an important biomarker for the di...