Information theory provides a mathematical framework for quantifying information and uncertainty, forming the backbone of modern communication, signal processing, and data analysis. Central to this ...

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 ...

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 ...

This is a preview. Log in through your library . Abstract Active learning (AL) technique is the classification of remote sensing images, where collecting efficient training data is costly in terms of ...

As a measurement of a system's randomness, entropy has specific scientific meaning. Last month, we saw how entropy can be scientifically defined in terms As a measurement of a system's randomness, ...

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 ...