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 ...

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 ...

Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have developed a novel reinforcement learning–based generative model to predict neural signals, creating ...

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, cut trial-and-error, reduce waste, and speed the development of safer, ...