Surface temperatures Tsurf (đC+O, C/O) for varying Psurf (from left to right: 1, 10, and 100 bar). For comparability, the internal temperatures Tint (185, 104, and 56 K, respectively) were
Surface temperatures Tsurf (đC+O, C/O) for varying Psurf (from left to right: 1, 10, and 100 bar). For comparability, the internal temperatures Tint (185, 104, and 56 K, respectively) were
Atmospheric conditions in the case with Sp = 0.4 S0, pN2 = 1.0 bar, pCO2 = 0.1 bar. Each case shows (a) horizontal distribution of surface temperature, (b) horizontal distribution
Credit: The Nippon Foundation-Nekton Ocean Census/©JAMSTEC Japan has led a major international effort to explore and document new life in the deep ocean. Following the Nippon FoundationâNekton Ocean Census Expedition
Artistic renderings of representative small self-cleaving ribozymes. Structures are shown in their native, substrate-free, trans-acting forms to emphasize intrinsic architectural organization rather than the catalytic conformation adopted during cleavage. Each
Space-based Sunshade â University of Innsbruck An international research team including Stefan Kimeswenger, astrophysicist at the University of Innsbruck, has tested a new approach to studying Earth-like exoplanets. The idea
Best-fit orbit solutions. Here we show the on-sky orbit traced by Eps Ind Ab in panel (a); the evolution of on-sky separation and position angle of the planet during our
The top panel are the inner and outer HZ limits for main-sequence stars as a function of stellar mass, according to (R. K. Kopparapu et al. 2013). The bottom panel
So why should we expect interstellar comets like 3I/ATLAS and ‘Oumuamua and even to some extent Borisov to be different-different?
This pair of images shows stars observed Feb. 6, 2026, by the SPARCS space telescope simultaneously in the near-ultraviolet, left, and far-ultraviolet, right. The fact that one star is seen
TAMPA, Fla. â A Vienna-based startup has raised $4 million to scale a software platform that generates synthetic satellite data for training AI models to detect environmental and operational risks.






