Human memory and attention are core cognitive functions that shape perception, learning, and decision-making. And whilst decades of research have provided ...
Computational methods are now a cornerstone in the study of fluid flow, heat transfer and mass transfer phenomena, underpinning modern simulations that inform both fundamental research and engineering ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
New theoretical physics research introduces a simulation method of machine-learning-based effective Hamiltonian for ...
A computational method for finding transition states in chemical reactions, greatly reducing computational costs with high reliability, has been devised. Compared to the most widely used existing ...
Researchers from Chinese Academy of Sciences propose a hierarchical Physics-Informed AI framework that balances model fidelity with speed, paving the way for reliable Digital Twins Researchers from ...
Beauty R&D is shifting toward “materials intelligence,” using AI and atom-level simulation to model ingredient interactions, ...
Nature Research Intelligence Topics Topic summaries Engineering Fluid Mechanics and Thermal Engineering Computational Methods in Fluid Flow, Heat and Mass Transfer Computational methods are now a ...
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