In this work, we introduce a comprehensive machine-learning algorithm, namely, a
multifidelity neural network (MFNN) architecture for data-driven constitutive metamodeling of …

This study investigates the local container drayage problem in semi-automated platooning
mode, focusing on the effect of laden-or-empty state of trucks on platoon fuel consumption …

Optimized and informed design of im**ing jets can effectively enhance their rate of heat
transfer. One practical pathway for such designing is to add nanoparticles to a background …

Microchannel flow is of great interest across many disciplines and applications, from
biochemical diagnostics to thermal management systems. Nonetheless, such flow requires …

Gas liquefaction is one of the main applications of cryogenics science. Due to the unique
properties of Helium, it can be used for several important applications. Therefore …

(57) ABSTRACT A comprehensive machine learning algorithm, namely a Multi-Fidelity
Neural Network (MFNN) architecture, is disclosed for data-driven constitutive meta …