With the continuous growth of global communication demands, fiber-optic networks are undergoing rapid expansion, and the most widely used silica-based optical fibers are now approaching their intrinsic loss limits. Heavy-metal fluoride ZBLAN fibers theoretically exhibit losses in the mid-infrared band that can be approximately 20 times lower than those of silica fibers. However, this theoretical advantage has long been constrained by the inevitable crystallization problem during ground-based fabrication—ZBLAN glass possesses a critical cooling rate far higher than that of silica, rendering it highly susceptible to crystallization during the fiber drawing process on Earth, which leads to a significant increase in scattering loss. Although microgravity environments may reduce crystallization rates by suppressing buoyancy-driven convection, and theoretical models support this mechanism, the lack of space-qualified automated fiber drawing equipment has previously prevented the acquisition of fiber samples of sufficient length for systematic characterization. Therefore, validating the practical feasibility and performance enhancement effects of ZBLAN fiber drawing under microgravity conditions has become a key scientific issue in overcoming the bottleneck to realizing the ultra-low-loss potential of this material.

Over nearly five decades, biomolecular simulation techniques have become indispensable tools for uncovering fundamental principles governing life at molecular scale. These computational approaches enable quantitative characterization of complex biomolecular events including protein folding, conformational dynamics and protein‑protein interactions, and have greatly advanced both fundamental and applied biological research. In recent years, the integration of machine learning, especially deep‑learning algorithms, has sparked substantial innovation within this field.

Solid electrolytes are promising materials for safer, more compact all-solid-state batteries, but producing smooth thin films with high ionic conductivity remains challenging. In a recent study, researchers from Shibaura Institute of Technology, Japan, developed a multilayer method using lithium borohydride and lithium iodide to create high-iodine thin films. Their approach improved iodine incorporation, maintained relatively smooth surfaces, and produced good room-temperature ionic conductivity, opening new possibilities for thin-film solid electrolytes.