Strategies for Improving the Brightness of Aggregation-Induced Emission Materials at Aggregate Level

The brightness of fluorescent agents directly determines the imaging performance as required.Among various fluorophores,small organic species are promising given its exact purity/composition and excellent processibility.However,chromophores with planar geometry may suffer from the undesirable aggregation-caused quenching(ACQ)phenomenon.Encouragingly,luminogens showing aggregation-induced emission(AIE)features are preferable as the aggregates which are the most common used state.In this review,we mainly focus on the strategies employed for boosting the brightness of AIE-active luminogens(AIEgens).From molecule to mor-phology levels,approaches that regulate electronic transition processes of the molecule or the packing extent of aggregates in order to confine molecular motion,reduceπ-πstacking,disrupt fluorophore-water interactions,etc.,are presented.In the end,the current challenges and perspectives are briefly discussed.We anticipate that this review will stimulate new insights and more efforts for the advancement of ultrabright AIEgens.

Enhanced ionic diffusion interface in hierarchical metal-organic framework@layered double hydroxide for high-performance hybrid supercapacitors

Layered double hydroxides(LDHs)with abundant accessible active sites are promising electrode materials for hybrid supercapacitor(HSC)due to their ultrahigh theoretical capacitances.However,the structural agglomeration of LDH leads to poor rate capability and durability.Herein,we construct a diffusion-controlled interface in hierarchical architecture of metal-organic framework(MOF)HKUST-1@cobalt-nickel LDH(denoted as HKUST-1@CoNiLDH)through an in situ etching/electro-deposition strategy.The rapid charge transfer and ionic diffusion in HKUST-1@CoNiLDH deliver a remarkable specific capacity of 297.23 mAh·g^(−1) at 1 A·g^(−1),superior to mostly reported LDH-based electrodes.More importantly,the as-prepared HKUST-1@CoNiLDH//activated carbon HSC exhibit a high energy density of 39.8 Wh·kg^(−1) at a power density of 799.9 W·kg^(−1) with an outstanding capacitance retention of 90%after 5,000 charge–discharge cycles.The in-depth understanding of the ionic diffusion among the MOF/LDH interfaces will greatly promote the further development of designing and synthesizing high performance energy conversion and storage devices.

Climate Services for Water Resource Management in China: The Case Study of Danjiangkou Reservoir

The efficiencies and effectiveness of water resource management are inextricably linked to climate services. This study demonstrates a climate information service for Danjiangkou Reservoir, which is the largest artificial lake in Asia, facing mounting challenges for flood control, water storage, and water diversion. Unlike traditional water resource management on the basis of short-term weather forecast and runoff monitoring, subseasonal to seasonal(S2S)and annual climate predictions as well as long-term climate change projections were well used to support the decision makers in Danjiangkou Reservoir. The National Climate Center(NCC) has projected the changes of future climate and extreme events by dynamically downscaling the Coupled Model Intercomparison Project phase 5(CMIP5)projections to 25-km resolution for the long-term planning of water resource management in Danjiangkou Reservoir.Real-time climate predictions based on climate models and downscaling interpretation and application methods at different timescales were also provided to meet the specific needs of earlier predictions and spatial refinement for the short-term diversion of the reservoir. Our results show that such climate services facilitated the Diversion Center of Danjiangkou Reservoir(DCDR) to reasonably control the operational water level, increased the ecological water supply to the northern portion of China by 844 million m^(3), and reduced as much as 1.67 billion m^(3) of abandoned water in 2019. In the future, it is necessary to develop climate prediction methods to increase spatial and temporal resolutions and prediction skills, and enhance interactions between providers and users.