AI slashes the time needed to design better heat-harvesting devices

From wearable technology to industrial heat recovery, thermoelectric generators which convert waste heat into electricity ...
Hosted on MSN

AI is transforming high-entropy alloy research

From atomic-scale imaging to machine learning predictions, AI is revolutionizing how scientists design and optimize high-entropy alloys. These materials, prized for their strength and resilience, are ...
Hosted on MSN

Machine learning is reinventing high-entropy alloys

High-entropy alloys (HEAs) are rewriting the rules of materials science, and machine learning is accelerating their design. By predicting phase stability and performance from large datasets, ...
Communications of the ACM

Artificial Intelligence in Physics: ‘The Influence is Huge’

Now, artificial intelligence (AI) tools are providing powerful new ways to address long-standing problems in physics. “The ...

Neural network speeds tuning of attosecond light pulses for physics experiments

Researchers from Skoltech and the Shanghai Institute of Optics and Fine Mechanics have developed an approach that helps ...
IEEE

Phase Formation in Vacuum Arc Melted High Entropy Alloys: Insights From Machine Learning and Experimental Validation

Abstract: In recent years, High Entropy Alloys (HEAs) have gained significant interest due to their unique properties such as high strength, wear resistance, and high temperature stability. However, ...
GitHub

RitzwiK/F1-Explorative-Data-Analysis

F1_Analytics/ │ ├── main.py # Application entry point ├── config.py # Configuration settings ├── data_loader.py # Data loading utilities ├── visualization.py # Chart components ├── analysis.py # ...
EurekAlert!

From trial-and-error to intelligent design: Machine Learning boosts a breakthrough in the performance of BaTiO3-based High-Entropy energy-storage ceramics

Dielectric ceramic capacitors are essential core components for electronics, smart grids and new energy vehicles, prized for their high power density. As electronic devices move toward miniaturization ...
IEEE

Integration of Spatial Entropy and Quartile Based Formula on Multi-Schema Machine Learning Model for Flood Disaster

Indonesia is a disaster-prone country, where most of Indonesia's territory is at high risk of natural disasters (BNPB Disaster Risk Index, 2021). Based on the perspective of Geography, Geology, ...
Scientific Research Publishing

Rubinstein, R., & Kroese, D. (2004). The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation, and Machine-Learning. Springer-Verlag.

ABSTRACT: The objective of this study is to assess the trends and predict the maximum daily rainfall using Benin century rainfall gauges. The Pettitt, Buishand, and entropy breakpoint detection tests ...