Performance Estimation and Ex Vivo Validation of Untethered Magnetic Robots in Soft Tissue
This study presents an empirical model that quantitatively predicts the step‐out frequency of screw‐type untethered magnetic robots (UMRs) in soft viscoelastic environments, including ex vivo brain tissue. By integrating key parameters into a dimensionless framework, the model enables estimation of robot performance across a range of biological ...
Leendert‐Jan W. Ligtenberg +19 more
wiley +1 more source
An in silico analysis of heart rate impact on wall shear stress hemodynamic parameters in aortic coarctation. [PDF]
Wang J +5 more
europepmc +1 more source
Gel Electrolytes for Flexible Zinc‐Air Batteries: Design, Challenges, and Perspectives
This review summarizes design strategies for gel electrolytes in flexible zinc‐air batteries, focusing on dendrite suppression, interfacial stability, and ultrathin architectures to enhance cycle life and energy density. ABSTRACT Flexible zinc‐air batteries (FZABs) have emerged as promising candidates for next‐generation flexible electronics and large ...
Yapeng Cao +5 more
wiley +1 more source
Geometry and Wall Shear Stress of the Contralesional Middle Cerebral Artery Are Associated With the Burden of Cerebral Small Vessel Disease in Acute Ischemic Stroke. [PDF]
Woo HG +7 more
europepmc +1 more source
Bio‐Based Polyurethanes for Sustainable and Multifunctional Applications
Bio‐based polyurethanes prepared from vegetable oils, lignin, and polysaccharides have attracted increasing interest as alternatives to fossil‐derived polyurethanes. This review summarizes recent progress in their chemistry, structural engineering, and advanced applications, highlighting the roles of feedstocks, chain‐segment design, dynamic covalent ...
Xin Li +6 more
wiley +1 more source
ML-ROM wall shear stress prediction in patient-specific vascular pathologies under a limited clinical training data regime. [PDF]
Chatpattanasiri C +8 more
europepmc +1 more source
Improved Direct Ink Writing of Liquid Metal Foams via Liquid Additives
The ability to pattern liquid metal is useful for making soft electrical and thermal devices. Dispensing liquid metal from a nozzle naturally results in the formation of spheroidal droplets, making direct‐write printing challenging. Liquid metal foams containing pockets of air can extrude as filaments, albeit inconsistently.
Febby Krisnadi +3 more
wiley +1 more source
Prediction of time averaged wall shear stress distribution in coronary arteries' bifurcation varying in morphological features via deep learning. [PDF]
Sarkhosh MH +3 more
europepmc +1 more source
This paper reviews the physics of liquid metals in RF devices, including the influence of mechanical strain on resonance as well as fabrication methods and strategies for designing tunable and strain‐tolerant inductors, capacitors, and antennas.
Md Saifur Rahman, William J. Scheideler
wiley +1 more source
Rapid wall shear stress prediction for aortic aneurysms using deep learning: a fast alternative to CFD. [PDF]
Faisal MAA +10 more
europepmc +1 more source

