A University of Manchester researcher has developed a machine-learning method to spot sudden changes in fluid behavior, known as bifurcation points, before traditional simulations fail. The approach ...

This Research Topic highlights recent advances in fractal geometry, fractional calculus, and artificial intelligence (AI) for addressing complex problems in ...

The most demanding calculations in quantum chemistry can now be solved with graphics processing unit (GPU) supercomputers. A ...

The dorsal S-duct inlet of a HALE blended wing body UAV faces complex unsteady disturbances during operation. This study ...

The study, titled “GenAI-Powered Framework for Reliable Sentiment Labeling in Drug Safety Monitoring,” published in Applied ...

To accurately simulate fish morphologies, the rigid foil model should be improved to a flexible filament model. This study ...

In his doctoral thesis, Michael Roop develops numerical methods that allow finding physically reliable approximate solutions ...

Both field practices and laboratory experiments in mature, high water-cut oilfields have confirmed that long-term water flooding dynamically alters rock wettability and micro-pore structure, causing ...

Abstract: Electrifying future aircraft requires the development of advanced embedded electrical power systems. To achieve this objective, increasing on-board voltage levels are needed, beyond the ...