Recent developments in artificial intelligence (AI) and machine learning (ML), implemented
through self-driving laboratories (SDLs), are rapidly creating unprecedented opportunities …

This study presents a machine learning (ML) framework aimed at accelerating the discovery
of multi-property optimized Fe-Ni-Co alloys, addressing the time-consuming, expensive, and …

High-throughput (HT) chemical synthesis facilitates accelerated materials discovery
products. However, HT methods are limited by the need for expensive robotic systems …

Ternary iron-cobalt-nickel (Fe–Co–Ni) alloys have many structural and magnetic industrial
applications. The counterpart binary Ni–Co alloys, which are used in energy systems, have …

The next generation of rotating electrical machines requires materials with an optimized
combination of magnetic, electrical and mechanical properties. High-throughput …

The anisotropic magnetoresistance (AMR) effect is one of the fundamental spin-dependent
transport phenomena in ferromagnets and has been the subject of numerous experimental …

Fe-Si binary alloys are one of the most widely used magnetic materials, while some ternary
Fe-Si-Al alloys also have excellent magnetic properties and high electrical resistivity …

Develo** high-performance alloys is essential for applications in advanced
electromagnetic energy conversion devices. In this study, we assess Fe-Co-Ni alloy …

Abstract Fe-Ni-Co alloy films demonstrate outstanding soft magnetic properties and are
widely used as magnetic materials. The ultrasonic-assisted electrodeposition method is …

This work reports the effect of growth rate and substrate temperature on the structural,
magnetic and magneto-microstructural properties of Fe-Co-Al alloy thin films. 75 nm thick Fe …