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 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 ...
In a study published in ACS Central Science, researchers at the University of Rochester and Edison Scientific describe an AI based-method that allows users to input natural language prompts about the ...
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 ...
Huzhou Key Laboratory of Intelligent Sensing and Optimal Control for Industrial Systems, School of Engineering, Huzhou University, Huzhou 313000, PR China Zhejiang Key Laboratory of Industrial Solid ...
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 ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...
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