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Flows in nanofluidic systems are strongly affected by liquid-solid slip, which is quantified by the slip length and by the position where the slip boundary condition applies. Here, we show that the viscosity, slip length, and hydrodynamic wall position (HWP) can be accurately determined from a single molecular dynamics (MD) simulation of a Poiseuille flow, after identifying a relation between the HWP and the wall shear stress in that configuration. From this relation, we deduce that in gravity-driven flows, the HWP identifies with the Gibbs dividing plane of the liquid-vacuum density profile. Simulations of a generic Lennard-Jones liquid confined between parallel frozen walls show that the HWP for a pressure-driven flow is also close to the Gibbs dividing plane (measured at equilibrium), which therefore provides an inexpensive estimate of the HWP, going beyond the common practice of assuming a given position for the hydrodynamic wall. For instance, we show that the HWP depends on the wettability of the surface, an effect usually neglected in MD studies of liquid-solid slip. Overall, the method introduced in this article is simple, fast, and accurate and could be applied to a large variety of systems of interest for nanofluidic applications.
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http://dx.doi.org/10.1063/1.5111966 | DOI Listing |
Acta Neurochir (Wien)
September 2025
Faculty of Medicine, The University of Queensland, Herston, QLD, 4006, Australia.
Background: Identifying haemodynamic factors associated with thin-walled regions (TWRs) of intracranial aneurysms is critical for improving pre-surgical rupture risk assessment. Intraoperatively, these regions are visually distinguished by a red, translucent appearance and are considered highly rupture prone. However, current imaging modalities lack the resolution to detect such vulnerable areas preoperatively.
View Article and Find Full Text PDFSci Rep
September 2025
Department of Mechanical Engineering, College of Engineering, University of Ha'il, Ha'il City, 81451, Saudi Arabia.
Accurate assessment of intracranial aneurysm rupture risk, particularly in Middle Cerebral Artery (MCA) aneurysms, relies on a detailed understanding of patient-specific hemodynamic behavior. In this study, we present an integrated framework that combines Computational Fluid Dynamics (CFD) with Proper Orthogonal Decomposition (POD) and machine learning (ML) to efficiently model pulsatile blood flow using a Casson non-Newtonian fluid model, without incorporating fluid-structure interaction (FSI). Patient-specific vascular geometries were reconstructed from DICOM imaging data and simulated using ANSYS Fluent to capture key hemodynamic factors, including velocity components, pressure, wall shear stress (WSS), and oscillatory shear index (OSI).
View Article and Find Full Text PDFBioinspir Biomim
September 2025
Mechanical Engineering, University of California Berkeley, 6177 Etcheverry Hall, Berkeley, California, 94720, UNITED STATES.
Riblets inspired by natural shark skin denticles are widely recognized for their drag-reducing performance. Although previous research has predominantly focused on two-dimensional riblet geometries, three-dimensional topographies remain underexplored due to the complex architecture of denticle-inspired surfaces. Natural riblet arrays, comprising thousands of interconnected denticles, pose challenges in terms of parameterization, simulation, and fabrication.
View Article and Find Full Text PDFMed Phys
September 2025
Department of Biomedical Imaging and Radiological Science, China Medical University, Taichung, Taiwan.
Background: Intracranial aneurysms, particularly saccular types, are localized dilations of cerebral vessels prone to rupture, leading to life-threatening complications such as subarachnoid hemorrhage.
Purpose: This study aimed to characterize the localized hemodynamic environment within the aneurysm dome and evaluate how spatial interactions among key flow parameters contribute to rupture risk, using a synergistic analytical framework.
Methods: We applied the targeted evaluation of synergistic links in aneurysms (TESLA) framework to analyze 18 intracranial aneurysms from 15 patients.
Comput Methods Programs Biomed
November 2025
Radiology, Spedali Civili Hospital, P.le Spedali Civili 1, Brescia, 25123, Italy; Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Viale Europa 11, Brescia, 25123, Italy.
Background And Objective: The hybrid surgical repair is a feasible alternative to conventional open surgical or total endovascular repairs for thoracoabdominal aneurysms. However, a small number of patients are treated every year with this procedure, and for this reason, a negligible amount of numerical or measured data is available in the literature. Moreover, the complex and highly variable stent graft design in hybrid surgical repairs means that a priori prediction of haemodynamic flow parameters and clinical or surgical outcomes remain challenging.
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