Results 171 to 180 of about 23,385 (265)
Attention‐Based Spatial–Temporal Model for the Entire Indoor Space Temperature Estimation
This study proposes a novel attention‐based spatial–temporal model for indoor temperature estimation, which integrates positional encoding and an attention mechanism with a fully connected neural network. By jointly capturing temporal dynamics and spatial correlations, the model enables high‐resolution estimation of temperature fields across the entire
Goro Terumichi +3 more
wiley +1 more source
ABSTRACT Accurate surface‐pressure prediction over broad operating envelopes is critical for supersonic aerodynamic analysis and design. To overcome the bottlenecks of traditional computational fluid dynamics (CFD) in real‐time performance and computational efficiency, data‐driven deep learning methods have emerged. However, existing data‐driven models
Hongbin Xu, Yin Long, Junlin Wu
wiley +1 more source
ABSTRACT With increasing demands for fire safety and environmental friendliness, retrofilling transformers with alternative insulating liquids has become a growing trend. However, retrofilling power transformers remains uncertain, as more residual mineral oil compromises K‐class flame retardancy, and its impact on environmental performance has yet to ...
Zhenfu Tang +5 more
wiley +1 more source
Use of the FDA nozzle model to illustrate validation techniques in computational fluid dynamics (CFD) simulations. [PDF]
Hariharan P +5 more
europepmc +1 more source
ABSTRACT The complex diffusion of characteristic gases within oil‐immersed transformers significantly influences the timeliness between the fault occurrence and gas detection. So far, the gas transport processes and spatio‐temporal distributions remain inadequately understood.
Chunpeng Li +7 more
wiley +1 more source
Exposure to 305 nm PP NPs significantly disrupts the airway barrier‐on‐chip, reducing TEER, suppressing ZO‐1/ACE2 expression, and triggering ROS‐mediated apoptosis. In biological media, PP NPs exhibit a biphasic adsorption pattern, leading to the formation of a protein corona that increases their size to 364 nm.
Omur Sert +9 more
wiley +1 more source
This is the first study assessing in vivo blood flow profiles during extracorporeal circulation (ECC) scenarios. Magnetic resonance imaging data served for the calibration of computational fluid dynamics algorithms, enabling accurate replication of the hemodynamic conditions.
Anna Kathrin Assmann +9 more
wiley +1 more source
Blade shapes (leading‐edge geometry and thickness) in rotodynamic blood pumps were systematically evaluated. Thinner blades improve pump efficiency by reducing blockage effects, while neither blade thickness nor leading‐edge geometry shows clear hemocompatibility benefits. Overall, blade shape has a limited impact on hemocompatibility, indicating it is
Benjamin Torner +7 more
wiley +1 more source
This study utilized an extensive optimization involving n = 540 design of experiments to produce a superior drainage cannula design. Compared to the clinically used Maquet model, our optimized design demonstrated reduced blood stagnation volumes, increased cannula tip velocities, and higher upper body drainage, potentially minimizing risk of thrombosis
Avishka Wickramarachchi +3 more
wiley +1 more source
ABSTRACT This study evaluates the application of computational fluid dynamics (CFD) simulations, integrated with controlled fire experiments, to investigate combustion processes in semi‐closed spaces. The framework enables systematic modeling of smoke dispersal, particulate transport, and hearth performance under variable morphologies and ventilation ...
Yafit Kedar
wiley +1 more source

