Controllable and fast heating profiles provide unique capabilities to realize enhanced soft
magnetic properties of amorphous and nanocrystalline materials in conventional …

This study announces the anomalous phase separation in CoNiP alloy electroplating. The
observed phenomenon of the formation of magnetic bubbles was described for the first time …

Fault Detection and Diagnosis of electrical machine and drive systems are of utmost
importance in modern industrial automation. The widespread use of Machine Learning …

Real-time temperature map** that solves local overheating problems is important for
obtaining an optimized thermal design for high-efficiency power transformers. Internal …

In this work, novel alloy compositions possessing promising combinations of properties were
identified by accelerated methodologies. Assessment of the structure as well as the …

Soft magnets are extensively deployed in rotating electric machines. Accelerated
development of new high Curie temperature, mechanically strong, magnetically soft …

FeNi-based metal amorphous nanocomposite alloys are emerging soft magnetic materials
with promise for high-speed motor applications. Here we demonstrate a technique to …

In this work, we present characterization of surface oxidation and crystallization behavior of
Metal Amorphous Nanocomposite (MANC)(Fe 70 Ni 30) 80 Nb 4 Si 2 B 14 alloys via …

The solid-state transformer (SST) is an emerging technology which is gaining increasing
importance for future power distribution systems. Here, we present 2-D finite-element …

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 …