AI Learns to Master Supersonic Mixing With Far Fewer Costly Simulations
Researchers at the Dalian Institute of Chemical Physics have used a deep reinforcement learning framework with adaptive noise scaling to...
Audrey Campbell is a Scienmag editorial specialist profile for Fluid Dynamics coverage.
Researchers at the Dalian Institute of Chemical Physics have used a deep reinforcement learning framework with adaptive noise scaling to...
New simulations and high-altitude experiments reveal a critical Reynolds number near 1.22 × 10⁵ where axial compressor efficiency and stall...
Researchers in China have developed a fully coupled numerical method that captures the interplay of aerodynamic heating, two-temperature thermochemistry, and...
An open-source lattice Boltzmann solver validated against wind tunnel data ran barn airflow simulations up to about 46 times faster...
A new two-way fluid–structure interaction study shows that a flexible foam micro-air-vehicle wing gains about 37 percent more lift than...
A validated GIS and CFD framework tested in Seville shows reflective materials cool the air but worsen pedestrian heat stress,...
A new numerical study shows that combining counter-current flow with shaped pin fins can slash wall temperature differences in microchannel...
A computational design optimization study shows that concentrating propellers at the wingtips can raise UAV cruise lift-to-drag ratios by 15.4...
Researchers report that disturbed blood flow can make vessel walls vibrate at high frequencies, and that these vibrations may directly...
AI Models Are Learning the Physics of Blood Flow Through Narrowed Arteries A new systematic review has charted how physics-informed...
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© 2025 Scienmag - Science Magazine