The effects of individual layer thickness, indentation velocity, and temperature on the mechanical properties and mechanics of nanoscale Au/Cu multilayers under indentation were studied using molecular dynamics simulations based on the many-body embedded-atom potential. The simulation results show that layer interfaces act as strong barriers that resist the propagation of dislocations, even at an extremely small individual layer thickness of 3 nm. The number of dislocations increases significantly and the growth of dislocations decreases with decreasing individual layer thickness. There is no clear relationship between the magnitude of the required indentation force and the number of film layers; however, the average required indentation force increases with increasing indentation velocity and decreasing temperature. During indentation at a relatively low velocity, dislocation propagation is more significant; the number of disordered atoms significantly increases at a relatively high indentation velocity.
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http://dx.doi.org/10.1007/s00894-018-3792-7 | DOI Listing |
J Biophotonics
March 2025
School of Mechanical Engineering, Kookmin University, Seoul, Republic of Korea.
This study evaluated the optomechanical and structural properties of individual macroscopic layers in swine skin tissues treated with a nontoxic optical clearing agent. The clearing agent was prepared by dissolving 2,2'-thiodiethanol in a phosphate-buffered solution and applied for up to 6 days. Prolonged clearing increased both the total and unscattered transmittance.
View Article and Find Full Text PDFR Soc Open Sci
March 2025
Arctic Aquatic Research Division, Fisheries and Oceans Canada, Winnipeg, Manitoba, Canada.
Monitoring Arctic marine mammals in response to rapid climate change requires reliable longitudinal data. To obtain such data is challenging, but sequential measurements of stable isotopes (SI) from metabolically inert tissues like dentine allow for chronological reconstruction of SI data that can provide insights into whale life history, behaviour and physiology. This study examined dentine samples from narwhal embedded canines to reconstruct individual SI profiles and assess intra-annual variation in δN and δC.
View Article and Find Full Text PDFR Soc Open Sci
March 2025
UAV Technology Research Institute, Beijing 100074, People's Republic of China.
Coordination serves as a crucial metric for analysing collective behaviour in complex systems. Given the prevalence of biological diversity, this study re-evaluated the coordination issue in strictly metric-free (SMF) swarms, incorporating both limited perceptual ranges and hierarchical dynamics. Initially, the study introduced a single-layer hierarchical SMF model that was optimized using differential evolution strategies.
View Article and Find Full Text PDFFront Neurosci
February 2025
York Neuroimaging Centre, University of York, York, United Kingdom.
Introduction: A full understanding of how we see our world remains a fundamental research question in vision neuroscience. While topographic profiling has allowed us to identify different visual areas, the exact functional characteristics and organization of areas up in the visual hierarchy (beyond V1 & V2) is still debated. It is hypothesized that visual area V4 represents a vital intermediate stage of processing spatial and curvature information preceding object recognition.
View Article and Find Full Text PDFClin Epidemiol
March 2025
Biomimetics and Intelligent Systems Group, Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland.
Purpose: This study applied machine learning (ML) and explainable artificial intelligence (XAI) to predict changes in HbA1c levels, a critical biomarker for monitoring glycemic control, within 12 months of initiating a new antidiabetic drug in patients diagnosed with type 2 diabetes. It also aimed to identify the predictors associated with these changes.
Patients And Methods: Electronic health records (EHR) from 10,139 type 2 diabetes patients in North Karelia, Finland, were used to train models integrating randomized controlled trial (RCT)-derived HbA1c change values as predictors, creating offset models that integrate RCT insights with real-world data.
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