Results 141 to 150 of about 1,384,185 (280)
Optimistic Prediction of Synchronization-Reversal Data Races [PDF]
arXivDynamic data race detection has emerged as a key technique for ensuring reliability of concurrent software in practice. However, dynamic approaches can often miss data races owing to nondeterminism in the thread scheduler. Predictive race detection techniques cater to this shortcoming by inferring alternate executions that may expose data races without
arxiv
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Advanced Engineering Materials, EarlyView.Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani +2 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.This article provides a comprehensive overview of fundamentals and recent advances of transparent thin‐film surface acoustic wave technologies on glass substrates for monitoring and prevention/elimination of fog, ice, and frost. Fogging, icing, or frosting on optical lenses, optics/photonics, windshields, vehicle/airplane windows, and solar panel ...
Hui Ling Ong +11 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
Advanced Engineering Materials, EarlyView.This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani +4 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.We develop a one‐step spray coating approach to coat the fluorinated graphene (FG) nanosheet onto the N95 respirators. The spray‐coated superhydrophobic N95 respirators can effectively repel respiratory droplets off instantaneously and prevent SARS‐CoV‐2 virus accumulation on the surface.
Fengjie He +4 more
wiley +1 more source
THE POPULATION BIOLOGY OF THE BUTTERFLY, EUPHYDRYAS EDITH A VII. HAS E. EDITH A EVOLVED A SERPENTINE RACE? [PDF]
, 1968 Michael Johnson +2 more
openalex +1 more source
Advanced Engineering Materials, EarlyView.Periodic submicron features are fabricated on 304 stainless steel using single and double femtosecond laser pulses. By adjusting polarization, fluence, and inter‐pulse delay, 1D and 2D nanostructures are formed. Enhanced hydrophobicity and dense surface‐enhanced Raman spectroscopy hotspots enable analyte detection down to 10−10 M with good ...
Balaji Baskar +3 more
wiley +1 more source