原子级制造的关键基础科学问题

人类的制造技术逐步向原子级推进,原子作为化学反应中的最小粒子,虽然它可以分成更小的原子核、电子等,但是从制造的角度看,原子级制造可以说是人类制造的最底层技术,也是继微纳制造之后新的制造范式,可将制造精度以及产品性能推向极致水平,代表着人类对物质世界认知和制造能力发展的新阶段,是引领未来产业变革发展的战略性技术,也是保障国家安全和推动国计民生重大装备跨代升级的重要前沿方向。本文基于第330期双清论坛总结了原子级制造的研究现状、发展趋势及机遇挑战,凝练出未来5~10年原子级制造的焦点问题和亟需解决的关键科学问题,探讨了相关领域的前沿发展方向和科学基金资助战略。

原子精度制造新原理和新方法

目前航空航天、核物理、微电子、光电子和半导体等国家战略领域高性能装备的性能需求日渐严苛,核心零部件的制造精度必须迈进原子级水平,亟需研究原子精度的高性能制造新原理和新方法。本文归纳并提出了目前迫切需求的原子级表面精度、原子级结构精度、原子级损伤控制以及原子级特征尺寸结构创成四大原子精度制造核心能力,从能场辅助原子级切削、多能场辅助原子有序排布、表面能弱化原子精度材料去除以及超光学衍射极限的原子精度制造四大方向进行系统梳理,介绍了面向不同应用场景的原子精度制造新原理和新方法的研究现状,并概述了各类方法的优势和缺点,从中提炼出多能场耦合条件下的能量和原子间相互作用机理这一关键科学问题,并从四大方向上对未来我国原子级制造的基础研究提出了建议。

A novel approach of jet polishing for interior surface of small-grooved components using three developed setups

It is a challenge to polish the interior surface of an additively manufactured component with complex structures and groove sizes less than 1 mm.Traditional polishing methods are disabled to polish the component,meanwhile keeping the structure intact.To overcome this challenge,small-grooved components made of aluminum alloy with sizes less than 1 mm were fabricated by a custom-made printer.A novel approach to multi-phase jet(MPJ)polishing is proposed,utilizing a self-developed polisher that incorporates solid,liquid,and gas phases.In contrast,abrasive air jet(AAJ)polishing is recommended,employing a customized polisher that combines solid and gas phases.After jet polishing,surface roughness(Sa)on the interior surface of grooves decreases from pristine 8.596μm to 0.701μm and 0.336μm via AAJ polishing and MPJ polishing,respectively,and Sa reduces 92%and 96%,correspondingly.Furthermore,a formula defining the relationship between linear energy density and unit defect volume has been developed.The optimized parameters in additive manufacturing are that linear energy density varies from 0.135 J mm^(-1)to 0.22 J mm^(-1).The unit area defect volume achieved via the optimized parameters decreases to 1/12 of that achieved via non-optimized ones.Computational fluid dynamics simulation results reveal that material is removed by shear stress,and the alumina abrasives experience multiple collisions with the defects on the heat pipe groove,resulting in uniform material removal.This is in good agreement with the experimental results.The novel proposed setups,approach,and findings provide new insights into manufacturing complex-structured components,polishing the small-grooved structure,and keeping it unbroken.

Trace Amounts of Triple-Functional Additives Enable Reversible Aqueous Zinc-Ion Batteries from a Comprehensive Perspective

Although their cost-effectiveness and intrinsic safety,aqueous zinc-ion batteries suffer from notorious side reactions including hydrogen evolution reaction,Zn corrosion and passivation,and Zn dendrite formation on the anode.Despite numerous strategies to alleviate these side reactions have been demonstrated,they can only provide limited performance improvement from a single aspect.Herein,a triple-functional additive with trace amounts,ammonium hydroxide,was demonstrated to comprehensively protect zinc anodes.The results show that the shift of electrolyte pH from 4.1 to 5.2 lowers the HER potential and encourages the in situ formation of a uniform ZHS-based solid electrolyte interphase on Zn anodes.Moreover,cationic NH^(4+)can preferentially adsorb on the Zn anode surface to shield the“tip effect”and homogenize the electric field.Benefitting from this comprehensive protection,dendrite-free Zn deposition and highly reversible Zn plating/stripping behaviors were realized.Besides,improved electrochemical performances can also be achieved in Zn//MnO_(2)full cells by taking the advantages of this triple-functional additive.This work provides a new strategy for stabilizing Zn anodes from a comprehensive perspective.

Downlink Resource Allocation for NOMA-Based Hybrid Spectrum Access in Cognitive Network

To solve the contradiction between limited spectrum resources and increasing communication demand,this paper proposes a wireless resource allocation scheme based on the Deep Q Network(DQN)to allocate radio resources in a downlink multi-user cognitive radio(CR)network with slicing.Secondary users(SUs)are multiplexed using non-orthogonal multiple access(NOMA).The SUs use the hybrid spectrum access mode to improve the spectral efficiency(SE).Considering the demand for multiple services,the enhanced mobile broadband(eMBB)slice and ultrareliable low-latency communication(URLLC)slice were established.The proposed scheme can maximize the SE while ensuring Quality of Service(QoS)for the users.This study established a mapping relationship between resource allocation and the DQN algorithm in the CR-NOMA network.According to the signal-to-interference-plusnoise ratio(SINR)of the primary users(PUs),the proposed scheme can output the optimal channel selection and power allocation.The simulation results reveal that the proposed scheme can converge faster and obtain higher rewards compared with the Q-Learning scheme.Additionally,the proposed scheme has better SE than both the overlay and underlay only modes.

Ectopic expression of OsNF-YA8,an endosperm-specific nuclear factor Y transcription-factor gene,causes vegetative and reproductive development defects in rice

Nuclear factor Y(NF-Y),a group of conserved transcription-factor complexes that consist of NF-YA,B,and C subunits,is essential for developmental regulation and for responses to environmental changes in eukaryotes.We previously found that some NF-Y genes,such as OsNF-YA8,were expressed specifically in the endosperm of rice.In the present study,overexpression of OsNF-YA8 in rice resulted in reduced plant height due to suppressed cell elongation in internodes.Gibberellin(GA)biosynthetic genes,including OsCPS1,OsGA20ox1,and OsGA20ox2,were down-regulated.OsNF-YA8 bound to the promoters of these genes to repress their expression.Endogenous GA content was decreased in OsNF-YA8 overexpressors,whose dwarf phenotype could be partially rescued by exogenous GA treatment.The findings suggested that ectopic expression of OsNF-YA8 causes defective GA biosynthesis in vegetative stage.Heading date in OsNF-YA8 overexpressors was delayed,especially under short-day conditions.OsNFYA8 bound to the promoter of Heading Date 3a(Hd3a),the florigen gene in rice,to negatively regulate flowering.Either ectopic activation or knockout of OsNF-YA8 impaired seed development,as indicated by reduced seed size and increased grain chalkiness.These results suggest that ectopic expression of the endosperm-specific OsNF-YA8 in rice disrupts both vegetative and reproductive development.

3D printing of personalized polylactic acid scaffold laden with GelMA/autologous auricle cartilage to promote ear reconstruction

At present,the clinical reconstruction of the auricle usually adopts the strategy of taking autologous costal cartilage.This method has great trauma to patients,poor plasticity and inaccurate shaping.Three-dimensional(3D)printing technology has made a great breakthrough in the clinical application of orthopedic implants.This study explored the combination of 3D printing and tissue engineering to precisely reconstruct the auricle.First,a polylactic acid(PLA)polymer scaffold with a precisely customized patient appearance was fabricated,and then auricle cartilage fragments were loaded into the 3D-printed porous PLA scaffold to promote auricle reconstruction.In vitro,gelatin methacrylamide(GelMA)hydrogels loaded with different sizes of rabbit ear cartilage fragments were studied to assess the regenerative activity of various autologous cartilage fragments.In vivo,rat ear cartilage fragments were placed in an accurately designed porous PLA polymer ear scaffold to promote auricle reconstruction.The results indicated that the chondrocytes in the cartilage fragments could maintain the morphological phenotype in vitro.After three months of implantation observation,it was conducive to promoting the subsequent regeneration of cartilage in vivo.The autologous cartilage fragments combined with 3D printing technology show promising potential in auricle reconstruction.

Pharmacological effects of denervated muscle atrophy due to metabolic imbalance in different periods

Denervation-induced skeletal muscle atrophy can potentially cause the decline in the quality of life of patients and an increased risk of mortality.Complex pathophysiological mechanisms with dynamic alterations have been documented in skeletal muscle atrophy resulting from innervation loss.Hence,an in-depth comprehension of the key mechanisms and molecules governing skeletal muscle atrophy at varying stages,along with targeted treatment and protection,becomes essential for effective atrophy management.Our preliminary research categorizes the skeletal muscle atrophy process into four stages using microarray analysis.This review extensively discusses the pathways and molecules potentially implicated in regulating the four stages of denervation and muscle atrophy.Notably,drugs targeting the reactivare oxygen species stage and the inflammation stage assume critical roles.Timely intervention during the initial atrophy stages can expedite protection against skeletal muscle atrophy.Additionally,pharmaceutical intervention in the ubiquitin-proteasome pathway associated with atrophy and autophagy lysosomes can effectively slow down skeletal muscle atrophy.Key molecules within this stage encompass MuRF1,MAFbx,LC3II,p62/SQSTM1,etc.This review also compiles a profile of drugs with protective effects against skeletal muscle atrophy at distinct postdenervation stages,thereby augmenting the evidence base for denervation-induced skeletal muscle atrophy treatment.

基于大气等离子喷涂的镍铬基粉末制备及其涂层组织结构

以高能球磨后的镍基合金、银、氟化物共晶复合粉末为原料,采用喷雾干燥和烧结技术制备了粒径为20~110μm的热喷涂喂料,利用等离子喷涂技术制备了镍基复合涂层。分析了喂料粒子物理性能及涂层的微观组织结构。结果表明:造粒后的粉末球形度较好,流动性大为提高。造粒烧结处理过程中,随着温度增加,粉末的流动性和松装密度均提高。经800℃热处理烧结后形貌圆整光滑,密实,平均粒径为32.92μm,松装密度为1.37g/cm^3,流动性为12.18s/50g,适合用作热喷涂喂料。制备的涂层为典型的层状结构,厚度约为320μm。涂层总体比较致密,局部存在孔洞,涂层孔隙率约3.6%。所含物相为NiCr、Ni3Al、NiAl、Ag,BaF2、CaF2等相,喷涂过程中未见新物相生成。

Lake Area Changes and the main causes in the hinterland of Badain Jaran Desert during 1973–2010,China

Lake area information in the Badain Jaran Desert in 1973, 1990, 2000, and 2010 was obtained by visual interpretation and water index analysis of remote sensing images, based on the spatial and temporal characteristics of lake area changes during 37 years. Results indicated that the nttmber of lakes declined from 94 to 82 and the total surface area was reduced by 3.69 km2 during 1973-2010. The desert lake area reduced by different degrees in different periods, but this occurred most rapidly during 1973-1990. According to the statistics of lake area changes, lake area decreases mainly occurred in the lakes with areas less than 0.2 km2, while the areas of lakes greater than 0.9 km2 only fluctuated. The changes of lake areas were probably due to changes in the quantity of underground water supplies rather than the effects of local climate change or human factors.

Boron based hypergolic ionic liquids:A review

The advance of space technology is deeply affected by the breakthrough of high-performance fuels.Hypergolic ionic liquids(HILs)are one of the most potential fuels for bipropellant systems.However,high viscosity value and low specific impulse of traditional N-based HILs limit their application.Recently,boron-based HILs with low viscosity become the new candidates,and their derivatives are also found to promote the hypergolicity as additives in HILs.Here,the synthesis,physical chemical properties and thermal performance of boron-based HILs and HILadditive system are reviewed.

A Low-Complexity Signal Detection Utilizing AOR Iterative Method for Massive MIMO Systems

Massive multiple-input multiple-output(MIMO) system is capable of substantially improving the spectral efficiency as well as the capacity of wireless networks relying on equipping a large number of antenna elements at the base stations. However, the excessively high computational complexity of the signal detection in massive MIMO systems imposes a significant challenge for practical hardware implementations. In this paper, we propose a novel minimum mean square error(MMSE) signal detection using the accelerated overrelaxation(AOR) iterative method without complicated matrix inversion, which is capable of reducing the overall complexity of the classical MMSE algorithm by an order of magnitude. Simulation results show that the proposed AOR-based method can approach the conventional MMSE signal detection with significant complexity reduction.

Degradation of glucosinolates in rapeseed meal by Lactobacillus delbrueckii and Bacillus subtilis

Lactobacillus delbrueckii and Bacillus subtilis were employed as a new combination of strains to treat rapeseed meal by solid-state fermentation,aiming to efficiently degrade the glucosinolates,which are the main toxin in the meal.Single-factor tests and Response surface methodology(RSM)were used to optimize the fermentation parameters.Under the optimum fermentation parameters of 15%total injection volume of the mixture of Lactobacillus delbrueckii and Bacillus subtilis with a ratio of 2:1,bran content of16%,feed to water ratio of 1:1.5,fermentation temperature of 36°C and fermentation time of 72 h,the content of glucosinolates in rapeseed meal was decreased from 64.558μmol/g to 3.473μmol/g,reaching a high degradation rate(94.62%).The high detoxification rate by a consortium of Lactobacillus delbrueckii and Bacillus subtilis provides a bright application prospect in feed utilization of rapeseed meal.

An Early Pregnant Chinese Woman with Cerebral Venous Sinus Thrombosis Succeeding in Induction of Labor in the Second Trimester

Cerebral venous sinus thrombosis(CVST)is a rare condition in early pregnancy.A22-year-old Chinese woman at10weeks of pregnancy requested induced abortion and was diagnosed as CVST for a severe headache accompanying with nausea and vomiting.The patient was treated successfully with anticoagulation,followed by amniocentesis,and finally succeeded in induction of labor safely.The diagnosis,treatment and prognosis for this rare condition are discussed in this paper.

Approach the Gell-Mann–Okubo Formula with Machine Learning

Machine learning is a novel and powerful technology and has been widely used in various science topics.We demonstrate a machine-learning-based approach built by a set of general metrics and rules inspired by physics.Taking advantages of physical constraints,such as dimension identity,symmetry and generalization,we succeed to approach the Gell-Mann-Okubo formula using a technique of symbolic regression.This approach can effectively find explicit solutions among user-defined observables,and can be extensively applied to studying exotic hadron spectrum.

Research on the Prediction Model for the Security Situation of Metro Station Based on PSO/SVM

Security situation awareness is a new technology about security. This paper brings it to the assessment of security situation of metro station which serves as a new way to secure the security of passengers as well as the operation of the metro station. This paper sets up an index system for assessing the security situation awareness and makes a prediction model for the security situation of metro station based on PSO/SVM after doing lots of researches and analyses. Furthermore, through case studies, we find that the model has high accuracy and ability to accurately predict the security situation of metro station in the future and a certain practical value.

Fault Detection and Recovery for Full Range of Hydrogen Sensor Based on Relevance Vector Machine

In order to improve the reliability of hydrogen sensor,a novel strategy for full range of hydrogen sensor fault detection and recovery is proposed in this paper. Three kinds of sensors are integrated to realize the measurement for full range of hydrogen concentration based on relevance vector machine( RVM). Failure detection of hydrogen sensor is carried out by using the variance detection method. When a sensor fault is detected,the other fault-free sensors can recover the fault data in real-time by using RVM predictor accounting for the relevance of sensor data. Analysis,together with both simulated and experimental results,a full-range hydrogen detection and hydrogen sensor self-validating experiment is presented to demonstrate that the proposed strategy is superior at accuracy and runtime compared with the conventional methods. Results show that the proposed methodology provides a better solution to the full range of hydrogen detection and the reliability improvement of hydrogen sensor.

Enhancement of electrochemical performance in lithium-ion battery via tantalum oxide coated nickel-rich cathode materials

Nickel-rich cathode materials are increasingly being applied in commercial lithium-ion batteries to realize higher specific capacity as well as improved energy density.However,low structural stability and rapid capacity decay at high voltage and temperature hinder their rapid large-scale application.Herein,a wet chemical method followed by a post-annealing process is utilized to realize the surface coating of tantalum oxide on LiNi_(0.88)Mn_(0.03)Co_(0.09)O_(2),and the electrochemical performance is improved.The modified Li Ni_(0.88)Mn_(0.03)Co_(0.09)O_(2)displays an initial discharge capacity of~233 m Ah/g at0.1 C and 174 m Ah/g at 1 C after 150 cycles in the voltage range of 3.0 V–4.4 V at 45℃,and it also exhibits an enhanced rate capability with 118 m Ah/g at 5 C.The excellent performance is due to the introduction of tantalum oxide as a stable and functional layer to protect the surface of LiNi_(0.88)Mn_(0.03)Co_(0.09)O_(2),and the surface side reactions and cation mixing are suppressed at the same time without hampering the charge transfer kinetics.

Mechanically induced Cu active sites for selective C–C coupling in CO_(2)electroreduction

Developing a convenient method to endow bulk Cu-based electrode with high activity of electrocatalytic CO_(2)reduction reaction(CO_(2)RR)to multicarbon(C_(2+))products is desirable but challenging.Herein,for the first time,we report that mechanical polishing induces highly reactive Cu sites for selective C-C coupling in CO_(2)RR.We find that mechanical polishing could endow Cu foil with abundant nanocavity surface structure,which efficiently confines the carbonaceous intermediates to enhance the probability of C-C coupling reaction.By confining the carbonaceous intermediates with Cu nanocavity,the as-prepared electrode delivers a Faradaic efficiency toward C_(2+)products of 65.7%at-1.3 V vs.RHE,which is enhanced up to 1.7 folds compared with that of commercial Cu foil.This work provides a new method to enable Cu foil with high activity of CO_(2)RR to C_(2+)products.

Probing the improved stability for high nickel cathode via dual-element modification in lithium-ion

One of the major hurdles of nickel-rich cathode materials for lithium-ion batteries is the low cycling stability,especially at high temperature and high voltage,originating from severe structural degradation,which makes this class of cathode less practical.Herein,we compared the effect of single and dual ions on electrochemical performance of high nickel(LiNi_(0.88)Mn_(0.03)Co_(0.09)O_(2),NMC)cathode material in different temperatures and voltage ranges.The addition of a few amounts of tantalum(0.2 wt%)and boron(0.05 wt%)lead to improved electrochemical performance.The co-modified Li Ni_(0.88)Mn_(0.03)Co_(0.09)O_(2)displays an initial discharge capacity of 234.9 m Ah/g at 0.1 C and retained 208 m Ah/g at 1 C after 100 cycles at 45℃,which corresponds to a capacity retention of 88.5%,compared to the initial discharge capacity of234.1 m Ah/g and retained capacity of 200.5 m Ah/g(85.6%).The enhanced capacity retention is attributed to the synergetic effect of foreign elements by acting as a surface structural stabilizer without sacrificing specific capacity.