Using a new physics-informed machine learning approach, researchers discovered two new high-entropy alloys with extremely low thermal expansion, a new study reports. The approach could represent a ...

Prof Rahul, is Indian pioneer with regard to the use of machine learning for alloy design has focused on high entropy alloys (HEA), a relatively new concept, which are over conventional alloys ...

Understanding defect dynamics and evolution in high entropy alloys (HEAs) s is complicated due to the wide and intricate configurational space in HEAs. Machine learning techniques have significant ...

Keeping reduction of computation time as the objective, here we present, an entropy query by bagging (EQB)-based AL approach in the extreme learning machine (ELM) framework for remote sensing image ...

The concept of entropy—commonly understood as “disorder”—was developed in the 19th century by Sadi Carnot and Rudolf Clausius, who were searching for the most efficient way to convert ...

Entropy is a confusing concept, but it is also extremely useful for quantifying the properties of complex systems like the human brain. This article attempts to demystify the term.