Modeling nuclear fusion at lightning speed

As we scour and scorch the Earth for deeper wells of energy, investors and government agencies are pouring billions into ...
Nature

Physics-informed machine learning for automatic model reduction in chemical reaction networks

Physics-informed machine learning bridges the gap between the high fidelity of mechanistic models and the adaptive insights of artificial intelligence. In chemical reaction network modeling, this ...
Nature

A Fermatean fuzzy CRITIC-MAIRCA fusion model for automated vocal performance evaluation in a.i. assisted decision support systems

The rapid advancement of artificial intelligence in musical technology has reshaped the manner of analyzing, interpreting, and scoring the vocal performance 1. The traditional forms of assessments are ...
EurekAlert!

Improved predictive accuracy of fusion plasma performance by data science

Theoretical and simulation estimates of turbulent transport (high-dimensional data that depend on plasma conditions such as density, temperature, and magnetic field) are used as low-fidelity data, and ...