Mars is a terrible place to build a house. It’s bitterly cold, blasted by radiation, and a near vacuum. Not to mention that the building materials, even for a modest shelter, could spend months hurtling through space before construction begins.

But they don’t have to. In a study publishing September 10 in the journal Chem Circularity, researchers developed a recipe that could one day be used to 3D print houses on Mars. The recipe combines Martian rocks with Earthly ingredients: gelatin and yeast. Once dried and hardened, this living building material is as strong as low-grade concrete and can be broken down, recycled, and brewed again for new construction.

As high-value orbital regions become increasingly congested, pursuit–evasion confrontations among spacecraft have emerged as a critical issue in the field of space security. Active defense strategies, in which a target spacecraft releases defensive vehicles to implement counter-interception against the pursuer, constitute a three-body engagement scenario involving the target, the pursuer, and the defender. However, in actual engagements, the presence of observation noise, incomplete information, and multi-strategy adversarial conditions arising from uncertain pursuit policies render existing guidance methods—whether based on unilateral optimal control, differential games, or conventional reinforcement learning—incapable of simultaneously addressing the multiple challenges posed by unknown pursuit strategies, information deficiencies, and high-maneuverability confrontations. Consequently, how to achieve cooperative adaptive guidance between the target and the defender under conditions of incomplete observations and variable pursuit policies has become a key technological bottleneck for enhancing spacecraft survivability.

With the rapid advancement of global aerospace technology, human space exploration is progressively extending from near-Earth orbit to the lunar sphere. Large-scale deep-space exploration activities, such as the construction of lunar research stations and lunar bases, are gradually becoming a reality. Major spacefaring entities, including China, the United States, Europe, and Japan, have successively proposed their own lunar exploration and long-term residency programs. Current lunar exploration missions now encompass complex scenarios such as scientific investigation, in-situ resource utilization, lunar construction, and operational maintenance, which impose entirely new demands on lunar robotic technologies. However, existing lunar and Mars exploration missions still predominantly rely on pre-programmed commands and ground-based teleoperation, exhibiting limited intelligence levels. They face significant challenges in addressing five core issues: multi-task high-precision manipulation, autonomous navigation and obstacle avoidance, self-learning interactive collaboration, adaptation to extreme environments, and high-reliability long-duration operation. Consequently, the systematic integration of emerging technologies—including artificial intelligence, deep learning, large-scale models, and embodied intelligence—into lunar robotic design, so as to achieve the transition from programmed robots to intelligent robots, has become a critical technological bottleneck for supporting future large-scale lunar exploration and development.

The unexplained results could enhance future efforts to study out-of-body experiences, researchers say.

Previous studies may have underestimated how much Mercury has contracted as the planet cooled over billions of years because its rough surface hides some of the geological evidence.

The FAST All Sky HI Survey (FASHI) team has released its second data set (DR2), cataloging 156,411 extragalactic neutral hydrogen (HI) sources over ~19,500 square degrees — nearly half the entire sky. The number of detected sources is nearly four times that of the first data release (DR1) and five times that of the Arecibo ALFALFA survey. With a median sensitivity of 0.57 mJy/beam, FASHI DR2 represents the largest and most sensitive blind HI survey ever conducted, providing a landmark dataset for studies of galaxy evolution, cosmology, and large scale structure in the local Universe.

Sun-like stars can release more energy in massive solar flares than trillions of hydrogen bombs. Researchers at the Max Planck Institute for Solar System Research (MPS) have found new evidence that our star can hold its own as compared to other stars. Dark regions on the Sun are often the starting points for solar flares. The larger the sunspot, the more powerful its explosive potential. The giant sunspot of 1947 had enough energy to trigger a superflare. The Sun is therefore, in principle, capable of producing superflares. 

The results help assess the impact of space storms on Mercury's surface and on Earth's atmosphere. These are the first Mercury results from the SIXS instrument, which was designed and built in Finland.