Astronomers from Chalmers University of Technology, Sweden, have discovered a vast and expanding bubble of gas and dust surrounding a red supergiant star – the largest structure of its kind ever seen in the Milky Way. The bubble, which contains as much mass as the Sun, was blown out in a mysterious stellar eruption around 4000 years ago. Why the star survived such a powerful event is a puzzle, the scientists say.

The new results are published in the scientific journal Astronomy and Astrophysics, and the team was led by Mark Siebert, Chalmers, Sweden. Using the ALMA radio telescope in Chile, the researchers observed the star DFK 52 – a red supergiant similar to the well-known star Betelgeuse.

Using XRISM, JAXA’s new high-precision X-ray spectroscopic satellite, researchers observed a stellar-mass black hole in the Milky Way and detected highly ionized iron absorption lines — clear signatures of hot gas. Remarkably, this detection was achieved at the dimmest X-ray state ever reported for such a system. The results reveal the complex structure and motion of gas around the black hole, offering new insights into the dynamic behavior of black holes.

SAN ANTONIO — August 19, 2025 — Southwest Research Institute led a James Webb Space Telescope (JWST) survey, discovering a previously unknown tiny moon orbiting Uranus. A team led by SwRI’s Dr. Maryame El Moutamid discovered the small object in a series of images taken on Feb. 2, 2025, bringing Uranus’ total moon count to 29.

Precise prediction of rocket plume radiative heat flux is critical for reusable launch vehicle design. LandSpace researchers have developed a breakthrough computational method integrating the discrete transfer method (DTM) with wide-band k-distribution modeling. Validated against high-resolution benchmarks with ≤6.0% error, this approach achieves engineering-viable efficiency while quantifying base/sidewall radiative heating throughout flight profiles for nine-engine LOX/CH4 rockets – providing key insights for thermal protection system optimization.

From the precise movements of drone wings to the smooth opening of cabin doors, modern aircraft rely heavily on electro-mechanical actuation. But a hidden challenge – disruptive "multi-source disturbances" – can limit their performance, affecting everything from response time to positioning accuracy and efficiency. New research, focusing on a powerful control strategy called Active Disturbance Rejection Control (ADRC), aims to conquer these disturbances, paving the way for significant advancements in aviation safety and capability.

The number of satellites, especially those operating in Low-Earth Orbit (LEO), has been exploding in recent years. Additionally, the burgeoning development of Artificial Intelligence (AI) software and hardware has opened up new industrial opportunities in both air and space, with satellite-powered computing emerging as a new computing paradigm: Orbital Edge Computing (OEC). Compared to terrestrial edge computing, the mobility of LEO satellites and their limited communication, computation, and storage resources pose challenges in designing task-specific scheduling algorithms.

Shock wave/boundary layer interaction (SWBLI) has long been a challenge in compressible flow simulations due to its complex multi-scale and non-equilibrium characteristics. Particularly, the simulation of multi-scale SWBLI under near-space conditions poses significant challenges to traditional continuum models such as the Navier–Stokes (NS) equations. To address this, researchers employed a mesoscopic Discrete Boltzmann Method (DBM) to investigate the discrete effects and non-equilibrium behaviors in SWBLI which are beyond the NS description. Given that different interfaces such as temperature and density will provide different characteristic scales, correspondingly, will provide local Knudsen (Kn) numbers of different perspectives. From one perspective, the Kn number is increasing, but from another perspective, it may be decreasing. Therefore, the early understanding based on the definition of the Kn number from a single perspective was one-sided or even wrong. Therefore, researchers proposed the concept of the local Kn number vector: each component of it is a Kn number from one perspective. Based on the developed DBM theory and method, they discovered a series of kinetic features and new mechanisms in rarefied laminar SWBLI.