Furthermore, the quest to apply entropy in machine learning algorithms aims to teach machines not only to process data but also to comprehend and predict the inherent unpredictability of the ...

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 ...

Study: Machine-learning-based intelligent framework for discovering refractory high-entropy alloys with improved high-temperature yield strength. Image Credit: Quardia/Shutterstock.com Background ...

The review, entitled “Design strategies for high entropy materials in water electrolysis: enhancing activity, stability, and ...

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.

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 ...