Researchers have developed a deep reinforcement learning method that generates day-ahead pre-control schemes coordinating batteries and generators to protect power...

Researchers at Huzhou University have developed ESM, a deep reinforcement learning system that adapts video streaming bitrates to improve perceived...

A new study finds that 10 mole percent ceria doping maximizes the ionic conductivity of yttria-stabilized zirconia electrolytes for solid...

Researchers at Yangzhou University have developed an AI-driven evolutionary algorithm that reconfigures electrical distribution networks to reduce power losses, validated...

A new physics-embedded machine learning framework called SPEL-VFL reconstructs hidden hydrogen energy flows in smart grids and pipeline networks even...

A five-month campaign in Bremerhaven combined three synchronized short-range lidars with mast anemometry to deliver the most detailed picture yet...

Researchers have woven naturally occurring halloysite nanotubes into a polymer-ceramic electrolyte, creating fast lithium-ion channels that boost conductivity, suppress dendrites,...

A new Nature Communications study shows that existing models have underestimated U.S. hydrogen pipeline construction costs and that repurposing natural...

Researchers have developed a battery-free wearable sensor chip that detects high-frequency electromagnetic fields by converting them into a visible optical...

Researchers have developed improved analytical models for flow curvature effects and a novel actuator line method that enforces aerodynamic moments,...