It may someday be possible to listen to a favorite podcast or song without disturbing the people around you, even without wearing headphones. In a new advancement in audio engineering, a team of researchers led by Yun Jing, professor of acoustics in the Penn State College of Engineering, has precisely narrowed where sound is perceived by creating localized pockets of sound zones, called audible enclaves. In an enclave, a listener can hear sound, while others standing nearby cannot, even if the people are in an enclosed space, like a vehicle, or standing directly in front of the audio source.

SAN ANTONIO — March 17, 2025 — New Southwest Research Institute-led modeling indicates the main belt asteroid (52246) Donaldjohanson may have formed about 150 million years ago when a larger parent asteroid broke apart; its orbit and spin properties have undergone significant evolution since. When NASA’s Lucy spacecraft flies by this approximately three-mile-wide space rock on April 20, 2025, the data collected could provide independent insights on such processes based on its shape, surface geology and cratering history.

The James Webb Space Telescope has captured its first direct images of carbon dioxide in a planet outside the solar system in HR 8799, a multiplanet system 130 light-years away that has long been a key target for planet formation studies.

A combination of cosmic processes shapes the formation of one of the most common types of planets outside of our solar system, according to a new study led by researchers at Penn State.

Researchers from Science Tokyo have discovered that bacterial swarms transition from stable vortices to chaotic turbulence through distinct intermediate states. Combining experiments with bacterial swarms, computer simulations, and mathematical modeling, the team clarified the intricate process by which orderly swirling turns to disordered turbulence as the free space available to bacteria increases. These findings provide new insights into active matter physics and could inform future applications in micro-robotics, biosensing, and active fluid-based micro-scale systems.

An Osaka Metropolitan University-led research team has developed a deep learning model that uses AI image recognition to efficiently and accurately detect bubble-like structures in the universe, including many previously unlisted in astronomical databases.

A team of researchers from Huazhong University of Science and Technology has systematically reviewed the key scientific technologies of construction robots in extreme environments, summarized the research advancements, and discussed future research directions. The research article detailing these innovations, titled "Construction Robotics in Extreme Environments: From Earth to Space," has been published in the prestigious journal Engineering.