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 ...
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, ...
AlphaGalileo

Machine Learning-Driven Design of a High-Energy NASICON Cathode for Sodium-Ion Batteries

Sodium-ion batteries (SIBs) emerge as a key option for next-generation electrochemical energy storage, thanks to abundant sodium resources, ...
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 times and ensure safety.
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 ...