The evolution of alloy-based materials, transitioning from simple binary alloy systems to more intricate compositions, has played a pivotal role in facilitating the advancement of innovative technologies and, in turn, driving social progress. This transformative journey has been accompanied by a significant enhancement in humanity’s capacity to create novel materials. High-entropy alloys (HEAs)

High-entropy alloys (HEAs) have emerged as a promising class of materials that exhibit exceptional mechanical properties, corrosion resistance, and high-temperature stability. They have become a significant area of research in the materials science domain owing to their potential for a wide range of applications. This chapter provides an overview of the concept, phase selection rules, the

High-entropy alloys (HEAs) are a relatively new class of materials that have been attracting significant attention in material science and engineering research. This chapter provides an introductory discourse on the microstructural characterization and properties of these fascinating materials. The term “HEAs” refers to an innovative concept of metallic materials composed of multiple principal

Despite the fact that numerous equiatomic and nonequiatomic high-entropy alloys (HEAs) have been observed to form a single solid solution (SS), it has also been established that several intermediate phases can emerge, some of which exhibit the structural characteristics of intermetallic compounds (ICs) such as Laves, B2, sigma, L12, and amorphous phases. This phenomenon has been extensively

High-Entropy Alloys: Design, Manufacturing, and Emerging Applications presents cutting-edge advances in the field of these materials, covering their mechanics, methods of manufacturing, and applications, all while emphasizing the link between their structure/microstructure and functional properties. The book starts with a section on the fundamentals of high-entropy alloys (HEAs), with chapters

This paper presents a comprehensive methodology for gender detection using hand palm images, leveraging image processing techniques and PySpark for scalable and efficient processing. The approach encompasses a meticulous image preprocessing pipeline, incorporating essential stages like grayscale conversion, the application ofthe Difference of Gaussians (DoG) filter, and adaptive histogram

Steady State Visually Evoked Potentials (SSVEPs) are intrinsic responses to specific visual stimulus frequencies. When the retina is activated by a frequency ranging from 3.5 to 75 Hz, the brain produces electrical activity at the same frequency as the visual signal, or its multiples. Identifying the preferred frequencies of neurocortical dynamic processes is a benefit of SSVEPs. However, the time

This study presents a comprehensive examination of the Al-Zn-Mg-Cu alloy, focusing on the effects of high strain rate dynamic compression and heat treatment on its performance. The research aimed to understand the underlying microstructural mechanisms contributing to the enhanced mechanical properties of the alloy, which is critical for applications in aerospace and automotive industries. High

The just-in-time concept, mass customization, omnichannel distribution, and the rising global population have all fueled the logistics sector. Consequently, using automation inside the warehouses to make them more dynamic and sustainable for the future is one of the crucial components to adapt to this quick shift. Giants in the industry and technology are becoming more interested in the “smart

Quantum Dots have shown a significant potential as a top candidate for infrared photodetection at higher temperatures. In the presented work, a theoretical model for estimating the coefficient of optical absorption of self-assembled truncated conical quantum dot is developed. This model considers both bound-to-continuum and bound-to-bound absorption mechanisms that increase the accuracy of the