This study proposes a "fine molecular engineering" strategy to address the trade-off between efficiency and stability by designing non-fullerene acceptors (NFAs). Based on 7C-2F with a 1,4-diazahexane core, three NFAs  were synthesized by selectively controlling the side chain length and the degree of π-conjugation of the terminal groups. The results show that shortening the side chain (7C-BO-2F and 7C-eC9-2F) or extending the π-conjugation of the terminal groups (7C-N2F) both improve molecular crystallinity, shorten the π-π stacking distance, and suppress nonradiative energy loss. In bulk heterojunction devices, the PM6:7C-eC9-2F system achieved a PCE of 19.67% with an energy loss of only 0.539 eV. Devices based on 7C-eC9-2F exhibit excellent photostability and thermal stability: under continuous illumination, the device's T₈₀ reaches 2728 h⁻¹; at 65 °C, its T₈₀ reaches 1242 h⁻¹, significantly outperforming other control systems. Furthermore, when these acceptors are applied to quasi-planar heterojunction structures, excellent photovoltaic performance is also obtained, demonstrating good fabrication adaptability. In summary, precise molecular engineering provides a reliable pathway to obtaining high-efficiency, low-energy-loss, and intrinsically stable OPVs, laying the foundation for the practical application of next-generation organic photovoltaic devices. The article was published as an open access Research Article in CCS Chemistry, the flagship journal of the Chinese Chemical Society.

With the continuously increasing demands on imaging accuracy and on-orbit service life of space optical remote sensors, efficient thermal management under extreme thermal environments has become a critical bottleneck constraining their performance. The substantial temperature fluctuations induced by solar radiation and cold space can cause thermal deformation of optical components, elevation of focal-plane dark current, and even system failure. Traditional metallic thermal conductive materials can no longer meet the increasingly stringent requirements for heat dissipation and lightweighting. Carbon-based materials—including graphene, carbon nanotubes, and carbon/carbon composites—exhibit enormous potential for breaking through the bottlenecks of space thermal management by virtue of their ultra-high thermal conductivity, low density, and low coefficient of thermal expansion. However, systematic performance comparisons and application guidelines for these materials in the specific scenarios of space optical remote sensors remain absent, hindering the effective translation from laboratory research to engineering implementation. Therefore, a systematic review of the thermal conduction mechanisms, fabrication processes, and space applicability of carbon-based high-thermal-conductivity materials is of great significance for promoting their precise application in the thermal management of space optical remote sensors.

The tea industry is an important part of China’s agricultural economy, but the industrial development challenge of “who will grow tea and how to grow it well” has become increasingly prominent. In the face of realities such as accelerating aging of the rural labor force and insufficient resource endowments of smallholder farmers, promoting the implementation and widespread adoption of agricultural socialized services has become a key path to overcoming the development dilemma of the tea industry.

With the increasingly prominent role of high-resolution remote sensing data in supporting the digital economy and intelligent industries, on-orbit assembly of large space optical systems has become a critical pathway to overcome launch vehicle constraints and achieve large-aperture detection. However, during on-orbit assembly, the manipulator is required to simultaneously satisfy multiple objectives, including replicating standardized paths, avoiding non-cooperative obstacles, and precisely passing through key waypoints. Existing global methods are limited by the real-time bottleneck of high-dimensional search, while local methods lack global consistency guarantees. Although Dynamic Movement Primitives (DMPs) possess parametric trajectory representation capabilities, they struggle to reconcile the inherent conflict between path shape accuracy and safe obstacle avoidance under multi-objective constraints. Therefore, how to synergistically optimize path passing accuracy and obstacle avoidance safety for manipulators in dynamic, unstructured space environments has become a core challenge constraining the effectiveness of on-orbit autonomous assembly for large-aperture optical systems.