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Updates every hour. Last Updated: 9-Jun-2026 17:15 ET (9-Jun-2026 21:15 GMT/UTC)
NASA’s Juno spacecraft measures thickness of Europa’s ice shell
Southwest Research Institute- Journal
- Nature Astronomy
AI tool differentiates between tumors in shared brain region
Thomas Jefferson UniversityAutomated machine learning can accurately identify two types of benign tumors that develop in the same space within the brain
Origami principle in space deployable membrane structures: Mechanism, application and prospects
SciOpenThe accelerated evolution of space technology has elevated the importance of high power and lightweight attributes in satellite design. In response to the conflict between the demand for large-scale, high-power payloads and the need for lightweight, compact platforms, flexible space origami membrane structures have emerged as a potential solution. These structures possess the ability to overcome the limitations of traditional deployable mechanisms. Their geometric reconfiguration capabilities, characterized by high folding ratios, effectively satisfy the high-power performance demands.
- Journal
- Chinese Journal of Aeronautics
Using 100-year-old data to help predict future solar cycle activity
Southwest Research Institute- Journal
- The Astrophysical Journal
New analytical model revolutionizes spacecraft orbit prediction under third-body gravitational effects
SciOpenA research team from the Beijing Institute of Technology (BIT) and Yinhe Hangtian has achieved a major advance in orbit mechanics by developing an analytical method capable of directly predicting spacecraft trajectories under third-body gravitational perturbations. This work, recently published in the Chinese Journal of Aeronautics, resolves a long-standing challenge in celestial dynamics and provides a new theoretical tool for deep-space exploration and autonomous spacecraft control.
- Journal
- Chinese Journal of Aeronautics
Machine learning revolutionizes design of green solvents for carbon capture: a new era for ionic liquid development
Shanghai Jiao Tong University Journal CenterWith climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green chemical processes and carbon dioxide capture has surged. Ionic liquids (ILs) have emerged as promising "designer solvents" due to their negligible volatility, broad liquid temperature range, and exceptional thermal stability. However, the immense chemical space of ILs—with theoretically up to 10¹⁸ possible cation-anion combinations—has created a critical bottleneck in efficient screening and design. Traditional experimental methods are costly and time-consuming, while theoretical calculations like molecular dynamics and quantum chemistry remain computationally prohibitive for large-scale screening. This urgent need for accelerated discovery has set the stage for a transformative technological leap.
- Journal
- Frontiers in Energy