Data quantity governance for machine learning in materials scienceOA

Data-driven machine learning(ML) is widely employed in the analysis of materials structure-activity relationships,performance optimization and materials design due to its superior ability to reveal latent data patterns and make accurate prediction.However,because of the laborious process of materials data acquisition,ML models encounter the issue of the mismatch between a high dimension of feature space and a small sample size(for traditional ML models) or the mismatch between model parameters a...     

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...     

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...     

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...     

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...     

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...     

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...     

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...     

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 ...     

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,     

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...     

New progress in zeolite synthesis and catalysisOA

The rational design synthesis of zeolite catalysts with effective,environmentally benign and atom-economic routes is a major topic in the field of microporous materials,as it would avoid the high labor cost and inefficiency of traditional trial-and-error methods in developing new structures and dispel environmental concerns regarding the industrial mass production of zeolites.Catalytic applications of zeolite materials have expanded from conventional single functionalities,such as solid acids or...     

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...     

MOPCS: next-generation nucleic acid molecular biosensorOA

<正>Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has had a huge impact on the world, causing millions of deaths and a serious blow to the global economy. SARS-CoV-2 can aack most body tissues with devastating consequences [1].e current global SARS-CoV-2 outbreak has exposed our shortcomings in the prevention and control of infectious diseases,     

Global weirding at mass extinction horizonsOA

<正>A strong motivation for studying mass extinctions is understanding how current climatic and biodiversity crises will affect creatures living on land such as ourselves. Perhaps the question is: how bad can it get? In that case, terrestrial Permian-Triassic mass extinctions are an irresistible worst-case scenario [1].     

Boosted on-chip energy storage with transistorsOA

<正>On-chip energy-storage devices play an important role in powering wireless environmental sensors and microelectrome chanical systems [1,2].Starting from the 1980s,on-chip energy-storage devices,including microbatteries and super capacitors,have been applied to power the real-time clock on a chip [3].These tiny batteries/supercapacitors enable the real-time clock to keep working when the electronics are off.In this way,electronic devices can be restarted with a valid time.With the develo...     

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 ...     

Bio-syncretic robots composed of biological and electromechanical systemsOA

<正>After eons of evolution,biological systems have developed excellent performance in terms of sensing,intelligence,and actuation—the three primary robotics elements that are closely related to the overall performance of robot systems.For example,the buccal pits of some snakes,as the necessary sensors for accurate predation,have a high-temperature sensitivity of 0.003 K[1];