Abstract
Nanoalloy clusters have attracted a lot of attention in recent times and have grown enormously in various domains, ranging from semiconductor, material sciences, biophysics, life sciences to earth sciences. In this report, we presented a review of nanoalloy clusters and their application. The background of clusters, nanoalloys and their isomers, their classification, and potential applications ranging from catalysis, optoelectronics, magnetic to bio-diagnosis are reported. Experimental techniques as well as the importance of theoretical and computational studies in nanoalloy clusters are also presented.
Keywords: Nanoalloy clusters, optical properties, electronic properties, magnetic properties, catalysis, bio-diagnostics.
Graphical Abstract
Call for Papers in Thematic Issues
Advanced Experimental, Computational Fluid Dynamics and Intelligent Computing Techniques on Complex Multiphase Flow Problems
Computational fluid dynamics (CFD) and Intelligent computing are very emerging technology in various industrial applications. Multiphase flow problems are very dominant in hydro as well as power plants, mining, marine, cementing, food processing, and ore-processing industries. Multiphase flows include gas-solid as well as liquid-solid flows. The solid like ores, ash, ...read more
Advanced materials for energy production, transmission, and utilization
Hydrogen storage and production materials: Developing high-performance hydrogen generation and storage materials, as well as researching the mechanism of hydrogen-material interaction. The emphasis for supercapacitors is on carbon-based materials derived from various biomass carbonization methods, as well as carbon-containing electrode materials such as metal sulfide, oxides, and other similar compounds. ...read more
Advancements in Machine Learning for Medical Applications in Material Science
The fusion of machine learning with medical applications and material science has ushered in a new era of innovation, offering transformative solutions to complex healthcare challenges. "Advancements in Machine Learning for Medical Applications in Material Science," a special issue, serves as a crucible for exploring the remarkable synergy between these ...read more
Computational Methods in Engineering
In recent decades, computational methods have revolutionized the field of engineering, playing a pivotal role in enhancing efficiency, accuracy, and innovation across various disciplines. This proposed thematic issue aims to explore and showcase the latest advancements, challenges, and applications of computational methods in engineering. As technology continues to evolve, computational ...read more
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