The performance of organic solar cells (OSCs) is critically governed by the fibrillar organization of bulk-heterojunction active layers, yet controlling long-range, directional fibrillar morphology under nonequilibrium processing remains challenging. Here we report that two-dimensional cobalt phosphosulfide (CoPS3) nanocrystals act as kinetic templates that reprogram molecular self-assembly during film formation. Through collective electronic interactions with conjugated polymer donors and small-molecule acceptors, CoPS3 modulates molecular densification and phase separation pathways, enabling refined, long-range fibrillar networks without increasing crystallinity. The resulting morphology enhances exciton dissociation and charge transport, and inhibits recombination, delivering a power conversion efficiency of 21.0%. This templating strategy is effective across multiple OSC systems, simultaneously improving efficiency and storage stability, offering a promising route for kinetic morphology control in organic optoelectronics. Controlling long-range, directional fibrillar morphology is important for organic solar cells (OSC). Here, the authors show that cobalt phosphosulfide nanocrystals can template film formation in OSCs, improving charge generation and transport, and achieving a power conversion efficiency of 21.0%.
Reliable wireless connectivity is essential for urban air mobility (UAM) networks in dense urban environments. It is therefore imperative to carefully plan the supporting communication infrastructure for UAM flight corridors. Most existing works optimize communication infrastructure and UAV flight paths independently, often leading to unnecessary base station (BS) deployment or excessive flight detours. This paper studies the joint optimization of BS deployment and UAV flight corridors in complex urban environments, aiming to minimize both infrastructure investment and flight distance while satisfying communication quality constraints. We propose CR-CMAB, a channel reciprocity-guided combinatorial multi-armed bandit framework. The framework constructs high-fidelity radio maps using 3D ray tracing, selects BS combinations via coverage-aware CMAB search, and dynamically expands the search space by identifying promising BS locations through channel reciprocity. Experimental results from a detailed case study demonstrate that CR-CMAB outperforms baseline methods with moderate computational time, yielding more strategically positioned BSs and shorter flight corridors. This study offers a practical planning perspective for cost-effective and communication-reliable UAM deployment in future smart cities.
