Physics-trained networks accelerate wind and pressure simulations
Physics-regularised neural networks trained on 292 simulations predicted fine-scale wind and pressure fields in seconds, while conservation penalties improved physical ...
Physics-regularised neural networks trained on 292 simulations predicted fine-scale wind and pressure fields in seconds, while conservation penalties improved physical ...
Researchers have developed a signal-processing method that combines non-convex sparse optimization with an iteratively sharpened time-frequency transform to detect weak ...
A new data-driven study of 319 wind turbines worldwide finds that the extreme coherent gust with direction change, a standard ...
Researchers have developed an interpretable deep reinforcement learning framework that schedules wind turbine maintenance to maximize power generation and minimize ...
A new study comparing fast annual energy production models for wind farm layout optimization finds that a novel method called ...
Using six months of strain data from an onshore wind turbine, researchers show that strongly compressed 15-second stress representations recover ...
A fifteen-year study of 1,527 bird carcasses at eight wind farms in southern Mexico shows that resident, ground-foraging species such ...
Pressurized wind tunnel experiments have allowed researchers to simulate full-scale atmospheric conditions and identify control strategies that could add tens ...
A simulation study of GPS-tagged Taiga Bean Geese in Denmark shows that losing winter cereal fields to a planned renewable ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine