A new study in Small introduces OptiMate, a machine learning model that predicts optical properties and identifies ...

By combining machine learning with traditional atmospheric ... AI can potentially save lives and reduce property damage. The ...

Infrared optoelectronic functional materials are essential for applications in lasers, photodetectors, and infrared imaging, ...

Also for material science. Machine learning has large potential for the prediction of properties of new polymers and for the design of new polymers with desired properties. Hence, the promise of ...

The researchers created four machine learning (ML ... As a result, reliable storm surge predictions are crucial for safeguarding lives and property in coastal regions. In this study, a hybrid ...

Get Instant Summarized Text (Gist) Integrating statistical physics with machine learning enhances predictions of liquid-gas phase transitions. This approach accurately determines the conditions ...

The variants on steepest descent try to improve the convergence properties. machine learning algorithms are ... the applicant default on this loan?). Prediction problems (e.g. What will the ...

The project I was a part of, Tectonic, was using machine learning to advance earthquake prediction. The European Research Council was sufficiently convinced of its potential to award it a four ...