EurekAlert!

High‑entropy materials: a new paradigm in the design of advanced batteries

High-entropy materials (HEMs) have attracted considerable research attention in battery applications due to exceptional properties such as remarkable structural stability, enhanced ionic conductivity, ...
The GW Hatchet

GW researcher finds unexpected order in metallic alloy atomic structure

The study, led by Xiaochen Jin, used machine learning to determine that the atomic structure of Group 4 alloys, which ...
Hoodline

Oak Ridge National Lab Innovates Nuclear Validation, Aims to Reduce Licensing Timelines with Entropy-Based Methodology

ORNL patented a new validation method using entropy for advanced nuclear reactor testing, promising to shorten licensing ...
JSTOR Daily

Entropy query by bagging-based active learning approach in the extreme learning machine framework for hyperspectral image classification

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 ...
Forbes

A Quantum Leap In AI: IonQ Aims To Create Quantum Machine Learning Models At The Level Of General Human Intelligence

Classical machine learning (ML) is a powerful subset of artificial intelligence. Machine learning has advanced from simple pattern recognition in the 1960s to today's advanced use of massive datasets ...