Decoupling engineering of formamidinium-cesium perovskites for efficient photovoltaicsOA

Although pure formamidinium iodide perovskite(FAPbI₃) possesses an optimal gap for photovoltaics,their poor phase stability limits the long-term operational stability of the devices.A promising approach to enhance their phase stability is to incorporate cesium into FAPbI₃.However,state-of-the-art formamidinium-cesium(FA-Cs) iodide perovskites demonstrate much worse efficiency compared with FAPbI₃,limited by the different crystallization dynamics of formamidinium ...     

Graphene for gold extractionOA

<正>Gold is a unique element,characterized not only by limited,though still reasonable,availability (useful for monetary applications) but also for its rather unique properties useful for many industries [1]:chemical inertness,high electrical conductivity,plasticity,etc.As gold reserves in Earth’s crust diminish with traditional minings’urban mining’that recycles gold from gold-containing wastes (such as electronic waste,e-waste) has emerged as an important supply method for gold sustainabi...     

Climbing robots for manufacturingOA

Robotized intelligent manufacturing is a growing trend in the manufacturing of large and complex components in aviation,aerospace,marine engineering and other industries.With their expansive workspaces and flexible deployment,climbing manufacturing robots can create a revolutionary manufacturing paradigm for large and complex components.This paper defines the climbing manufacturing robot based on the application status of climbing robots and then analyzes four key technical re quirements:adhesio...     

Superscattering of water wavesOA

Inspired by the concept of superscattering in optics,we for the first time theoretically predict and experimentally demonstrate the superscattering phenomenon in water waves.The subwavelength superscatterer is constructed by multi-layered concentric cylinders with an inhomogeneous depth profile.The superscatterer breaks the long-held single-channel scattering limit by several times and thus significantly enhances the total scattering strength.The underlying mechanism originates from the near deg...     

Photodegradable polar-functionalized polyethylenesOA

The degradation of plastics has attracted much attention from the global community.Polyethylenes(PEs),as the most abundant synthetic plastics,are most frequently studied.PE is non-degradable and non-polar because of the sole presence of the pure hydrocarbon components.Concurrent incorporation of both in-chain cleavable and functional groups into the PE chain is an effective pathway to overcome the non-degradable and non-polar issue;however,the method for achieving this pathway remains elusive.He...     

Evolution of artificial ion channelsOA

<正>Protein ion channels on a cell membrane generate action potentials for cellular signal transduction, and regulate biological activities during life. Since the discovery of the asymmetric ion transport phenomenon in quartz nanopipettes by Bard and colleagues [1], synthetic nanofluidic materials and devices have attracted a lot of research interests from the scientific community,     

The heterogeneity-diversity-system performance nexusOA

Ever-growing human population and nutritional demands,supply chain disruptions,and advancing climate change have led to the re alization that changes in diversity and system performance are intimately linked.Moreover,diversity and system performance depend on heterogeneity.Mitigating changes in system performance and promoting sustainable living conditions requires transformative decisions.Here,we introduce the heterogeneity-diversity-system performance(HDP) nexus as the conceptual basis upon wh...     

Metal-organic frameworks bonded with metal N-heterocyclic carbenes for efficient catalysisOA

Metal N-heterocyclic carbenes(M-NHCs) on the pore walls of a porous metal-organic framework(MOF)can be used as active sites for efficient organic catalysis. Traditional approaches that need strong alkaline reagents or insoluble Ag₂O are not, however, suitable for the incorporation of NHCs on the backbones of MOFs because such reagents could destroy their frameworks or result in low reactivity. Accordingly,development of facile strategies toward functional MOFs with covalently bound M-...     

Van der Waals superlatticesOA

<正>Semiconductor technology has enabled many essential devices,including transistors for computing and communication,diodes for solid-state lighting and photovoltaics.Behind all these devices,the material foundation is a series of highly elaborated heterostructures and superlattices[1].To this end,integrating different materials into heterostructures or superlattices with well-defined spatial modulation of chemical compositions and electronic structures is central for generating designed e...     

High-entropy-alloy nanoparticles with 21 ultra-mixed elements for efficient photothermal conversionOA

Multi-metallic nanoparticles have been proven to be an efficient photothermal conversion material, for which the optical absorption can be broadened through the interband transitions(IBTs), but it remains a challenge due to the strong immiscibility among the repelling combinations. Here, assisted by an extremely high evaporation temperature, ultra-fast cooling and vapor-pressure strategy, the arc-discharged plasma method was employed to synthesize ultra-mixed multi-metallic nanoparticles compose...     

Ecological restoration for sustainable development in ChinaOA

Facing the need for transdisciplinary research to promote ecological restoration that achieves both social and ecological benefits,research on past restoration efforts that have directly or indirectly contributed to regional or national sustainable development warrants reassessment.Using China as an example,in this review,we address three basic research questions that can be summarized as follows:ecological restoration—of what,for whom and to what purpose?Accordingly,a landscape pattern—ecosyste...     

Organic semiconductor-incorporated two-dimensional halide perovskitesOA

<正>Recently,the search for novel two-dimensional (2D) organic-inorganic halide perovskite materials has come to a renaissance.There is significant interest not only in terms of their intriguing optoelectronic properties,but also their structural diversity and improved stability.The 2D perovskite structure can be visualized as atomically thin slabs cut from 3D parent structures along different crystal directions that are sandwiched between two layers of large organic cations.The bulky organ...     

Cyclic-anion salt for high-voltage stable potassium-metal batteriesOA

Electrolyte anions are critical for achieving high-voltage stable potassium-metal batteries(PMBs).However,the common anions cannot simultaneously prevent the formation of ’dead K’ and the corrosion of Al current collector,resulting in poor cycling stability.Here,we demonstrate cyclic anion of hexafluoropropane-1,3-disulfonimide-based electrolytes that can mitigate the ’dead K’ and remarkably enhance the high-voltage stability of PMBs.Particularly,even using low salt concentration(0.8 M) and addi...     

Anthropogenic monoterpenes aggravating ozone pollutionOA

Monoterpenes have been known to have a critical influence on air quality and climate change through their impact on the formation of fine particles.Here we present field evidence that monoterpene oxidations largely enhanced local ozone production in a regional site in eastern China.The observed monoterpene was most likely from biomass burning rather than biogenic emissions,as indicated by the high correlation with CO at night-time,and the observed ratio of these two species was consistent with p...     

Competition on robust deep learningOA

<正>PROBLEM In recent years,the rapid development of artificial intelligence (AI) technology,especially machine learning and deep learning, is profoundly changing human production and lifestyle.In various fields,such as robotics,face recognition,autonomous driving and healthcare,AI is playing an important role.However,although AI is promoting the technological revolution and industrial progress,its security risks are often overlooked.Previous studies have found that the wellperforming deep ...     

In pursuit of reconstructing missing human handsOA

<正>Human beings are the most intelligent living beings on Earth.Creating reconstructions of missing human limbs that can be naturally integrated into the human body is a lofty ambition and faces challenges in neuroscience,information science,mechanical and electronic engineering,and many other disciplines.Based on the development history of robotic prosthetic hands over the past 70 years,     

Theory and classification of mass extinction causationOA

Theory regarding the causation of mass extinctions is in need of systematization, which is the focus of this contribution. Every mass extinction has both an ultimate cause, i.e. the trigger that leads to various climato-environmental changes, and one or more proximate cause(s), i.e. the specific climato-environmental changes that result in elevated biotic mortality. With regard to ultimate causes, strong cases can be made that bolide(i.e. meteor) impacts, large igneous province(LIP) eruptions an...     

An orthogonal dual-regulation strategy for sensitive biosensing applicationsOA

Biosensing systems based on controllable motion behaviors of droplets have attracted extensive attention,but still face challenges of insufficient sensitivity and uncontrollable dynamic range due to imprecise manipulation of droplet motion on the surfaces.Here,we report an orthogonal dual-regulation strategy for precise motion control of droplets and we demonstrate its utility as a sensitive sensing system with controllable dynamic ranges of sensing for adenosine triphosphate,miRNA,thrombin and ...     

Universal adversarial examples and perturbations for quantum classifiersOA

Quantum machine learning explores the interplay between machine learning and quantum physics, which may lead to unprecedented perspectives for both fields. In fact, recent works have shown strong evidence that quantum computers could outperform classical computers in solving certain notable machine learning tasks. Yet, quantum learning systems may also suffer from the vulnerability problem: adding a tiny carefully crafted perturbation to the legitimate input data would cause the systems to make ...