A team of Brown-led engineers show that a sphere held almost completely under flowing water induces drag forces several times greater than if it were fully submerged, detailing new and interesting physics of drag resistance.
A new in-depth analysis of sea ice motion in the fastest-warming part of the globe shows how Arctic Ocean sea ice responds to different ocean currents and reveals that the seafloor plays a crucial role.
Developed by a team of Brown-led researchers, Pleobot is a krill-inspired robot offering potential solutions for underwater locomotion and ocean exploration, both on Earth and moons throughout the solar system.
Two teams from Brown were among 28 selected this year through DEPSCoR, which is designed to strengthen basic research infrastructure at higher education institutions and propel forward science in areas important to U.S. defense.
Researchers from Brown and MIT suggest how scientists can circumvent the need for massive data sets to forecast extreme events with the combination of an advanced machine learning system and sequential sampling techniques.
The lab of George Karniadakis, professor of applied mathematics and engineering, leads the charge of developing physics-informed neural networks to diagnose and predict the severity of arterial aneurysms.
With the help of an advanced machine learning technique, researchers from Brown University suggest strategies for improving the performance of epidemiological models used to predict the course of pandemics.
A new study shows that an artificial intelligence system informed with the physical laws governing flowing fluids can infer pressures and stresses on capillaries just by analyzing images or videos of blood flow.
A new study uses computer simulations to track airflows inside a car’s passenger cabin, providing potential strategies — some of them counterintuitive — for reducing the risk of transmitting airborne diseases.
Taking a cue from birds and insects, Brown University researchers have come up with a new wing design for small drones that helps them fly more efficiently and makes them more robust to atmospheric turbulence.
In a finding that could be useful in designing small aquatic robots, researchers have measured the forces that cause small objects to cluster together on the surface of a liquid — a phenomenon known as the "Cheerios effect."