Machine learning in metal-ion battery research: Advancing material prediction, characterization, and status evaluation

Metal-ion batteries(MIBs),including alkali metal-ion(Li^(+),Na^(+),and K^(3)),multi-valent metal-ion(Zn^(2+),Mg^(2+),and Al^(3+)),metal-air,and metal-sulfur batteries,play an indispensable role in electrochemical energy storage.However,the performance of MIBs is significantly influenced by numerous variables,resulting in multi-dimensional and long-term challenges in the field of battery research and performance enhancement.Machine learning(ML),with its capability to solve intricate tasks and perform robust data processing,is now catalyzing a revolutionary transformation in the development of MIB materials and devices.In this review,we summarize the utilization of ML algorithms that have expedited research on MIBs over the past five years.We present an extensive overview of existing algorithms,elucidating their details,advantages,and limitations in various applications,which encompass electrode screening,material property prediction,electrolyte formulation design,electrode material characterization,manufacturing parameter optimization,and real-time battery status monitoring.Finally,we propose potential solutions and future directions for the application of ML in advancing MIB development.

初中物理“欧姆定律”生活化教学初探

“欧姆定律”是初中物理学习中的一个非常重要的知识点,是组成电学内容的骨干知识,也是今后学习电磁学的基础知识.通过对常用重量测量仪器“电子秤”进行拆解分析,从生活化的角度探讨了如何结合学生的生活经验开展“欧姆定律”的实验教学,探索出了一条能有效提高学生物理核心素养的生活化教学新途径.

An Active Anti-Jamming Approach for Frequency Diverse Array Radar with Adaptive Weights

Due to the rapid development of electronic countermeasures(ECMs),the corresponding means of electronic counter countermeasures(ECCMs)are urgently needed.In this paper,an act-ive anti-jamming method based on frequency diverse array radar is proposed.By deriving the closed form of the phase center in a uniform line array FDA,we establish a model of the FDA signal based on adaptive weights and derive the effect of active anti-jamming in this regime.The pro-posed active anti-jamming method makes it difficult for jammers to detect or locate our radar.Fur-thermore,the effectiveness of the two frequency increment schemes in terms of anti-jamming is ana-lyzed by comparing the deviation of phase center.Finally,the simulation results verify the effective-ness and superiority of the proposed method.

The investigation of DARC etch back in DRAM capacitor oxide mask opening

Opening the silicon oxide mask of a capacitor in dynamic random access memory is a critical process on a capacitive coupled plasma(CCP)etch tool.Three steps,dielectric anti-reflective coating(DARC)etch back,silicon oxide etch and strip,are contained.To acquire good performance,such as low leakage current and high capacitance,for further fabricating capacitors,we should firstly optimize DARC etch back.We developed some experiments,focusing on etch time and chemistry,to evalu-ate the profile of a silicon oxide mask,DARC remain and critical dimension.The result shows that etch back time should be con-trolled in the range from 50 to 60 s,based on the current equipment and condition.It will make B/T ratio higher than 70%mean-while resolve the DARC remain issue.We also found that CH_(2)F_(2) flow should be~15 sccm to avoid reversed CD trend and keep in-line CD.

Oceanic crustal structure and tectonic origin of the southern Kyushu-Palau Ridge in the Philippine Sea

A new high-resolution velocity model of the southern Kyushu-Palau Ridge(KPR) was derived from an activesource wide-angle seismic reflection/refraction profile. The result shows that the KPR crust can be divided into the upper crust with the P-wave velocity less than 6.1 m/s, and lower crust with P-wave velocity between 6.1 km/s and 7.2 km/s. The crustal thickness of the KPR reaches 12.0 km in the center, which gradually decreases to 5.0–6.0 km at sides. The velocity structure of the KPR is similar to the structures of the adjacent West Philippine Basin and Parece Vela Basin(PVB), indicating a typical oceanic crust. Isostatic analysis shows that some regional compensation occurs during the loading of the KPR, which implies that the KPR was built mainly by magmatism during the splitting of the Izu-Bonin-Mariana arc and the following back-arc seafloor spreading of the PVB during30–28 Ma BP. The absence of the thick middle crust(6.0–6.5 km/s) and high velocity lower-crustal layers(7.2–7.6 km/s) suggest that arc magmatism plays a less important role in the KPR formation.

Fractional Order [Proportional Integral] Controllers Parameters Algorithm Based on the Vector Method

A new calculation method of fractional order [proportional integral ]( FO [PI ]) controller parameters is proposed. And the systematic design schemes of fractional order [proportional integral ]( FO[PI]) controllers based on vector method are discussed in detail. The FO[PI]controller parameters algorithm based on the vector method can be programmed in MATLAB. According to MATLAB programs of the FO[PI]controller parameters algorithm,the FO[PI] controllers are designed following the different phase margins,different gain crossover frequency and different plants,respectively. From the simulation results,the calculated parameters based on MATLAB program is unique and the designed FO[PI] controllers work efficiently.

Forecast on Price of Agricultural Futures in China Based on ARIMA Model

The forecast on price of agricultural futures is studied in this paper. We use the ARIMA model to estimate the price trends of agricultural futures,which can help the investors to optimize their investing plans. The soybean future contracts are taken as an example to simulate the forecast based on the auto-regression coefficient(p),differential times(d) and moving average coefficient(q). The results show that ARIMA model is better to simulate and forecast the trend of closing prices of soybean futures contract,and it is applicable to forecasting the price of agricultural futures.

Defects in photoreduction reactions:Fundamentals,classification,and catalytic energy conversion

Powered by optical energy,photocatalytic reduction for fuel production promises to be an ideal long-term solution to a number of key energy challenges.Photocatalysts with enhanced light absorption,fast electron/hole separation rates,and exposed activity sites are essential to improve photocatalytic efficiency.Semiconductors are constrained by their own intrinsic properties and have limited performance in photocatalysis,but defect engineering provides an opportunity to modulate the physical and chemical properties of semiconductors.Defect engineering has been shown to be effective in regulating electron distribution and accelerating photocatalytic kinetics during photocatalysis.This review introduces the definition and categorization of defects,then explains the main effects of defect engineering on photoabsorption,carrier separation/migration,and surface reduction reactions.We then review the milestones in the design of defect-engineered photocatalysts for key chemical reactions,including hydrogen evolution,CO_(2)reduction,and N_(2)reduction,and tabulate their respective effects on catalytic performance.Finally,we provide insights and perspectives on the challenges and potential of defect engineering for photoreduction reactions.

Mn single-atoms decorated CNT electrodes for high-performance supercapacitors

Developing highly robust and efficient electrode materials is of critical importance to promoting the energy density of current supercapacitors for commercialization.Herein,we report an efficient catalyst with monodispersed Mn single-atoms embedded in carbon nanotubes(Mn-CNTs)for enhancing the electrode performance of supercapacitors.A high specific capacitance(1523.6 F·g^(-1) at 1.0 A·g^(-1))can be achieved,which is about twice as high as the specific capacitance of the electrode material without the introduction of Mn single-atoms.Remarkably,the asymmetric electrochemical capacitor created with Mn-CNT and activated carbon exhibits a high energy density of 180.8 Wh·kg^(-1) at a power density of 1.4 kW·kg^(-1),much higher than most reported results.The study shows that the integration of Mn atoms into the CNT can enhance the charge transport capacity and the number of polar active sites of Mn-CNT and then facilitate chemical interactions between Mn-CNT and OH-.This work provides a novel strategy to enable high-energy storage in supercapacitors by introducing single-atoms into carbon nanotubes to improve electrodes’energy density and cycle life.

Expanding the targeting scope of CRISPR/Cas9-mediated genome editing by Cas9 variants in Brassica

CRISPR/Cas9,presently the most widely used genome editing technology,has provided great potential for functional studies and plant breeding.However,the strict requirement for a protospacer adjacent motif(PAM)has hindered the application of the CRISPR/Cas9 system because the number of targetable genomic sites is limited.Recently,the engineered variants Cas9-NG,SpG,and SpRY,which recognize non-canonical PAMs,have been successfully tested in plants(mainly in rice,a monocot).In this study,we evaluated the targeted mutagenesis capabilities of these Cas9 variants in two important Brassica vegetables,Chinese cabbage(Brassica rapa spp.pekinensis)and cabbage(Brassica oleracea var.capitata).Both Cas9-NG and SpG induced efficient mutagenesis at NGN PAMs,while SpG outperformed Cas9-NG at NGC and NGT PAMs.SpRY achieved efficient editing at almost all PAMs(NRN>NYN),albeit with some self-targeting activity at transfer(T)-DNA sequences.And SpRY-induced mutants were detected in cabbage plants in a PAM-less fashion.Moreover,an adenine base editor was developed using SpRY and TadA8e deaminase that induced A-to-G conversions within target sites using non-canonical PAMs.Together,the toolboxes developed here induced successful genome editing in Chinese cabbage and cabbage.Our work further expands the targeting scope of genome editing and paves the way for future basic research and genetic improvement in Brassica.

Thermally drawn flexible inorganic thermoelectric fibers

Thermoelectric materials can directly realize the mutual conversion of heat and electric energy.Thermo-electric generation and refrigeration devices have advantages such as environmental friendliness,low energy consumption and small size,making them an effective means of achieving carbon neutrality[1].

A secreted phospholipase A_(2) (BmsPLA_(2)) regulates melanization of immunity through BmDDC in the silkworm Bombyx mori

Insect immune-associated phospholipase A_(2) (PLA_(2)) is an important target of pathogen invasion. Melanization, an effective defense response, has significant correlations with other immune responses to coordinate immune attack against invaders. However, the effect of PLA_(2) on melanization has not yet been reported in insects or other arthropods. In this work, we cloned a PLA_(2) gene (BmsPLA_(2)), and its protein had characteristic features of secreted PLA_(2) (sPLA_(2)). After injection of bacteria, BmsPLA_(2) expression and sPLA_(2) activity in hemolymph significantly increased. BmsPLA_(2) fluorescence was transferred from the cytoplasm to the cell membranes of circulating hemocytes. These results indicated that BmsPLA_(2) was related to hemolymph immunity in silkworms. Interestingly, reducing BmsPLA_(2) by RNA interference decreased melanosis (melanistic hemocytes) levels in vivo and in vitro, while BmsPLA_(2) overexpression had the opposite effect. The larval survival and melanization rate in the hemocoel both slowed depending on the PLA_(2) inhibitor dosage. These results demonstrated that BmsPLA_(2) plays a role in melanization during the immune process of silkworms. Surprisingly, the level of BmDDC matched the degree of melanization in various observations. BmDDC expression showed a significant increase, with the peak occurring later than that of BmsPLA_(2) after injection of bacteria, implying that BmsPLA_(2) was activated prior to BmDDC. Moreover, the alteration of BmsPLA_(2) by RNA interference or overexpression led to altered BmDDC levels. These results suggested that BmsPLA_(2) regulates the melanization response in silkworms through BmDDC. Our study proposes a new regulatory mechanism of the melanization response and new directions for understanding the complex immune networks of insects.

On the origins and evolution of phytohormone signaling and biosynthesis in plants

Phytohormones modulate nearly all aspects of plant biology.Phytohormone signaling and biosynthesis pathways have been characterized mainly through studies of angiosperms,particularly the model plant Arabidopsis thaliana(Blázquez et al.,2020).Phylogenetic analyses across plants provide insights into the origins and evolution of phytohormone signaling pathways(Wang et al.,2015).However,these studies come with one caveat:homology at the level of sequences does not necessarily demonstrate functional conservation.Due to the lack of functional verification,much remains obscure and contentious about the origins of phytohormone signaling and biosynthesis pathways.In a recent study,Jia et al.,2023 employed a combined approach of phylogenetic analysis and functional characterization to explore the origin and evolution of the signaling and biosynthesis pathways of salicylic acid(SA),a crucial plant defense hormone.

Anomaly Detection of Industrial Control Systems Based on Transfer Learning

Industrial Control Systems(ICSs)are the lifeline of a country.Therefore,the anomaly detection of ICS traffic is an important endeavor.This paper proposes a model based on a deep residual Convolution Neural Network(CNN)to prevent gradient explosion or gradient disappearance and guarantee accuracy.The developed methodology addresses two limitations:most traditional machine learning methods can only detect known network attacks and deep learning algorithms require a long time to train.The utilization of transfer learning under the modification of the existing residual CNN structure guarantees the detection of unknown attacks.One-dimensional ICS flow data are converted into two-dimensional grayscale images to take full advantage of the features of CNN.Results show that the proposed method achieves a high score and solves the time problem associated with deep learning model training.The model can give reliable predictions for unknown or differently distributed abnormal data through short-term training.Thus,the proposed model ensures the safety of ICSs and verifies the feasibility of transfer learning for ICS anomaly detection.

Effects of surface roughness on interfacial dynamic recrystallization and mechanical properties of Ti-6Al-3Nb-2Zr-1Mo alloy joints produced by hot-compression bonding

The influence of surface roughness on the interfacial dynamic recrystallization kinetics and mechanical properties of Ti-6 Al-3 Nb-2 Zr-1 Mo hot-compression bonding joints was systematically investigated.It is found that for the bonding interface of rough surfaces,elongated fine grains are formed at the bonding interface due to shear deformation of the interfacial area.As the surface roughness increases,the proportion of elongated grains drastically decreases as they further reorient to form equiaxed grains along the bonding interface of rougher surfaces resulting from severe incompatible deformation of the interface area.Meanwhile,high-density geometrically necessary dislocations accumulate around the interfacial recrystallization area to accommodate the incompatible strain and lattice rotation.A rotational dynamic recrystallization mechanism is thereby proposed to rationalize the formation of fine interfacial recrystallization grains during bonding of rough surfaces.In contrast to that of rough surfaces,bonding interface of polished surfaces exists in the form of straight interface grain boundaries without fine grains under the same deformation conditions.While with the increase of deformation strain,small grain nuclei form along the bonding interface,which is associated with discontinuous dynamic recrystallization assisted by strain-induced boundary migration of interface grain boundaries.Moreover,the bonding joints of rough surfaces show lower elongation compared with that of polished surfaces.This is because the formation of heterogeneous fine grains with low Schmid factor along the bonding interface of rough surfaces,leading to worse compatible deformation capability and thereby poor ductility of bonding joints.

Pyridoxine regulates hair follicle development via the PI3K/Akt, Wnt and Notch signalling pathways in rex rabbits

This study was conducted to evaluate the effect of pyridoxine on the development of hair follicles in Rex rabbits and the underlying molecular mechanism.Two hundred 3-month-old Rex rabbits were randomly divided into 5 groups and fed diets supplemented with 0,5,10,20,or 40 mg/kg pyridoxine.The hair follicle density on the dorsal skin and the gene and protein expression levels of components of the phosphoinositide 3-kinase(PI3 K)/protein kinase B(PKB or Akt),Wnt,Notch and bone morphogenetic protein(BMP)signalling pathways were measured.In addition,free hair follicles were isolated from Rex rabbits and cultured with pyridoxine in vitro to measure hair shaft growth.Furthermore,dermal papilla cells(DPC)were isolated from the skin of Rex rabbits and cultured with pyridoxine in vitro to measure the gene and protein expression levels of components of the PI3 K/Akt,Wnt,Notch and BMP signalling pathways.The results showed that the addition of dietary pyridoxine significantly increased the total follicle density,secondary follicle density,and secondary-to-primary ratio(S/P,P<0.05),that the growth ratio of hair stems was promoted by pyridoxine in basic culture medium,and that the growth length of tentacle hair follicles cultured in the pyridoxine group was longer than that in the control group(P<0.05).In addition,pyridoxine changed the DPC cycle progression and promoted cell proliferation,and appropriate concentrations of pyridoxine(10 and 20μmol/L)significantly inhibited cell apoptosis(P<0.05).Pyridoxine significantly affected the gene expression of components of the PI3 K/Akt,Wnt and Notch signalling pathways in the skin and DPC of Rex rabbits(P<0.05),increased the levels of phosphorylated catenin beta 1(CTNNB1)and Akt,and decreased the level of phosphorylated glycogen synthase kinase 3 beta(GSK-3β)(P<0.05).Therefore,the molecular mechanism by which pyridoxine promotes hair follicle density in Rex rabbits probably occurs through activation of the PI3 K/Akt,Wnt and Notch signalling pathways,prolonging hair follicle growth and delaying the onset of telogen.

Effects of annealing and cold roll-bonded interface on the microstructure and mechanical properties of the embedded aluminum-steel composite sheet

Embedded aluminum-steel composite sheets used in heat exchanger were produced by cold roll bonding(CRB). The influences of annealing temperature and annealing time on the microstructure and the bonding strength of the composite sheet were investigated. The recrystallization of the steel layer began at 525℃ and finished at 600℃. With the increase of the annealing temperature, the peel strength of the composite sheet whose original steel sheet surface was treated by scratch brush initially increased and then decreased, which was resulted from the competition of the mechanical locking and metallurgical bonding. After annealing, the cracks which formed between the broken work-hardened steel surface layer and its matrix during cold roll bonding remained. The composite sheet produced by CRB with the steel surface treatment of flap disc had less interfacial defects, higher bonding quality, higher diffusion rate of Al and Fe atoms at the interface and larger metallurgical bonding extent than the composite sheet produced by CRB with the steel surface treatment of scratch brush under the same conditions of annealing,which was helpful to shorten annealing time, reduce energy consumption and improve production efficiency.

A novel PI3K inhibitor XH30 suppresses orthotopic glioblastoma and brain metastasis in mice models

Glioblastoma is carcinogenesis of glial cells in central nervous system and has the highest incidence among primary brain tumors.Brain metastasis,such as breast cancer and lung cancer,also leads to high mortality.The available medicines are limited due to blood-brain barrier.Abnormal activation of phosphatidylinositol 3-kinases(PI3 K)signaling pathway is prevalent in glioblastoma and metastatic tumors.Here,we characterized a 2-amino-4-methylquinazoline derivative XH30 as a potent PI3 K inhibitor with excellent anti-tumor activity against human glioblastoma.XH30 significantly repressed the proliferation of various brain cancer cells and decreased the phosphorylation of key proteins of PI3 K signaling pathway,induced cell cycle arrest in G1 phase as well.Additionally,XH30 inhibited the migration of glioma cells and blocked the activation of PI3 K pathway by interleukin-17 A(IL-17 A),which increased the migration of U87 MG.Oral administration of XH30 significantly suppressed the tumor growth in both subcutaneous and orthotopic tumor models.XH30 also repressed tumor growth in brain metastasis models of lung cancers.Moreover,XH30 reduced IL-17 A and its receptor IL-17 RA in vivo.These results indicate that XH30 might be a potential therapeutic drug candidate for glioblastoma migration and brain metastasis.

Ultrafast Preparation of Nonequilibrium FeNi Spinels by Magnetic Induction Heating for Unprecedented Oxygen Evolution Electrocatalysis

Carbon-supported nanocomposites are attracting particular attention as high-performance,low-cost electrocatalysts for electrochemical water splitting.These are mostly prepared by pyrolysis and hydrothermal procedures that are time-consuming(from hours to days)and typically difficult to produce a nonequilibrium phase.Herein,for the first time ever,we exploit magnetic induction heating-quenching for ultrafast production of carbon-FeNi spinel oxide nanocomposites(within seconds),which exhibit an unprecedentedly high performance towards oxygen evolution reaction(OER),with an ultralow overpotential of only+260 mV to reach the high current density of 100 mA cm^(-2).Experimental and theoretical studies show that the rapid heating and quenching process(ca.10^(3)K s^(-1))impedes the Ni and Fe phase segregation and produces a Cl-rich surface,both contributing to the remarkable catalytic activity.Results from this study highlight the unique advantage of ultrafast heating/quenching in the structural engineering of functional nanocomposites to achieve high electrocatalytic performance towards important electrochemical reactions.