Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

From DFT calculation to ML prediction, the potential catalysts with highly active and selective performance are efficiently screened by four ML models, i.e. decision tree, random forest, support ...

High-temperature proton exchange membrane fuel cells (HT-PEMFCs) are highly promising for next-generation aviation, as they can operate above 160 °C and tolerate impurities in the fuel. However, they ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

A new heat exchanger architecture/technology is being developed to address increasing demands for lightweight, high-performance thermal management across aerospace, defense, space, and data center ...

Distance-learning technology and other methods are helping the La Crosse School District better serve students who have been identified as high-performance learners.