The realm of information entropy research represents a multidisciplinary field, merging mathematical theories with real-world data. At its core, information entropy is the study of uncertainty in ...

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 ...

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 ...

Entropy is one of the most useful concepts in science but also one of the most confusing. This article serves as a brief introduction to the various types of entropy that can be used to quantify the ...

In an article recently published in the open-access journal npj Computational Materials, researchers discussed the intelligent framework based on machine learning (ML) for finding refractory ...

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 ...