High product quality is one of key demands of customers in the field of manufacturing such as computer numerical control(CNC)*** monitoring and prediction is of great importance to assure high-quality or zero defect *...
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High product quality is one of key demands of customers in the field of manufacturing such as computer numerical control(CNC)*** monitoring and prediction is of great importance to assure high-quality or zero defect *** this work,we consider roughness parameter Ra,profile deviation Pt and roundness deviation RONt of the machined products by a ***,these three parameters are much related to the machine spindle parameters of preload,temperature,and rotations per minute(RPMs),while in this paper,spindle vibration and cutting force are taken as inputs and used to predict the three quality *** spectral density(PSD)based feature extraction,the method to generate compact and well-correlated features,is proposed in details in this *** the efficient features,neural network based machine learning technique turns out to be able to result in high prediction accuracy with R2 score of 0.92 for roughness,0.86 for profile,and 0.95 for roundness.
The increasing demand for hydrogen energy to address environmental issues and achieve carbon neutrality has elevated interest in green hydrogen production,which does not rely on fossil *** various hydrogen production ...
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The increasing demand for hydrogen energy to address environmental issues and achieve carbon neutrality has elevated interest in green hydrogen production,which does not rely on fossil *** various hydrogen production technologies,anion exchange membrane water electrolyzer(AEMWE)has emerged as a next-generation technology known for its high hydrogen production efficiency and its ability to use non-metal ***,this technology faces significant challenges,particularly in terms of the membrane durability and low ionic *** address these challenges,research efforts have focused on developing membranes with a new backbone structure and anion exchange groups to enhance durability and ionic ***,the super-acid-catalyzed condensation(SACC)synthesis method stands out due to its user convenience,the ability to create high molecular weight(MW)polymers,and the use of oxygen-tolerant organic *** the synthesis of anion exchange membranes(AEMs)using the SACC method began in 2015,and despite growing interest in this synthesis approach,there remains a scarcity of review papers focusing on AEMs synthesized using the SACC *** review covers the basics of SACC synthesis,presents various polymers synthesized using this method,and summarizes the development of these polymers,particularly their building blocks including aryl,ketone,and anion exchange *** systematically describe the effects of changes in the molecular structure of each polymer component,conducted by various research groups,on the mechanical properties,conductivity,and operational stability of the *** review will provide insights into the development of AEMs with superior performance and operational stability suitable for water electrolysis applications.
It is generally accepted that anomalous slip(AS) takes place by hexagonal dislocation networks(HDNs) in body centered cubic(BCC) metals,but the role of the HDN formation process in AS has rarely been investigated so *...
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It is generally accepted that anomalous slip(AS) takes place by hexagonal dislocation networks(HDNs) in body centered cubic(BCC) metals,but the role of the HDN formation process in AS has rarely been investigated so *** this work,the critical yield conditions of the HDNs and isolated dislocations were first calculated,respectively,by molecular statics simulations in two BCC *** on these data,a novel mechanism,entitled as the "conjugated dislocation sources"(CDS),to analyze the formation of the HDNs was proposed for the first time and then incorporated into the criterion of the occurrence of *** prediction is in agreement with experimental *** to previous study,it has been revealed that the multiplication of isolated screw dislocations involved in AS has to be considered for correctly understanding the AS origin.
Differential interference contrast (DIC) microscopy plays an important role in biological sample imaging, with the merit of high contrast, low phototoxicity and no fluorescent label required. Commercial DIC microscopy...
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Hard carbon (HC) has been considered as promising anode material for sodium-ion batteries (SIBs).The optimization of hard carbon’s microstructure and solid electrolyte interface (SEI) property are demonstrated effect...
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Hard carbon (HC) has been considered as promising anode material for sodium-ion batteries (SIBs).The optimization of hard carbon’s microstructure and solid electrolyte interface (SEI) property are demonstrated effective in enhancing the Na+storage capability,however,a one-step regulation strategy to achieve simultaneous multi-scale structures optimization is highly ***,we have systematically investigated the effects of boron doping on hard carbon’s microstructure and interface chemistry.A variety of structure characterizations show that appropriate amount of boron doping can increase the size of closed pores via rearrangement of carbon layers with improved graphitization degree,which provides more Na+storage ***-situ Fourier transform infrared spectroscopy/electrochemical impedance spectroscopy (FTIR/EIS) and X-ray photoelectron spectroscopy (XPS) analysis demonstrate the presence of more BC3and less B–C–O structures that result in enhanced ion diffusion kinetics and the formation of inorganic rich and robust SEI,which leads to facilitated charge transfer and excellent rate *** a result,the hard carbon anode with optimized boron doping content exhibits enhanced rate and cycling *** general,this work unravels the critical role of boron doping in optimizing the pore structure,interface chemistry and diffusion kinetics of hard carbon,which enables rational design of sodium-ion battery anode with enhanced Na+storage performance.
Lithium(Li)dendrite issue,which is usually caused by inhomogeneous Li nucleation and fragile solid electrolyte interphase(SEI),impedes the further development of high-energy Li metal ***,the integrated construction of...
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Lithium(Li)dendrite issue,which is usually caused by inhomogeneous Li nucleation and fragile solid electrolyte interphase(SEI),impedes the further development of high-energy Li metal ***,the integrated construction of a high-stable SEI layer that can regulate uniform nucleation and facilitate fast Li-ion diffusion kinetics for Li metal anode still falls ***,we designed an artificial SEI with hybrid ionic/electronic interphase to regulate Li deposition by in-situ constructing metal Co clusters embedded in LiF *** generated Co and LiF both enable fast Li-ion diffusion kinetics,meanwhile,the lithiophilic properties of Co clusters can serve as Li-ion nucleation sites,thereby contributing to uniform Li nucleation and non-dendritic *** a result,a dendrite-free Li deposition with a low overpotential(16.1 mV)is achieved,which enables an extended lifespan over 750 h under strict *** full cells with high-mass-loading LiFePO_(4)(11.5 mg/cm^(2))as cathodes exhibit a remarkable rate capacity of 84.1 mAh/g at 5 C and an improved cycling performance with a capacity retention of 96.4%after undergoing 180 cycles.
The enormous computational requirements and unsustainable resource consumption associated with massive parameters of large language models and large vision models have given rise to challenging ***,we propose an inter...
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The enormous computational requirements and unsustainable resource consumption associated with massive parameters of large language models and large vision models have given rise to challenging ***,we propose an interpretable'small model'framework characterized by only a single core-neuron,*** one-core-neuron system(OCNS),to significantly reduce the number of parameters while maintaining performance comparable to the existing'large models'in time-series *** multiple delay feedback designed in this single neuron,our OCNS is able to convert one input feature vector/state into one-dimensional time-series/sequence,which is theoretically ensured to fully represent the states of the observed dynamical *** the spatiotemporal information transformation,the OCNS shows excellent and robust performance in forecasting tasks,in particular for short-term high-dimensional *** results collectively demonstrate that the proposed OCNS with a single core neuron offers insights into constructing deep learning frameworks with a small model,presenting substantial potential as a new way for achieving efficient deep learning.
Interstitial strengthening with nitrogen(N)is one of the effective ways to improve the mechanical properties of HEAs,but the effects of N on the microstructures and mechanical properties of the irradiated HEAs have no...
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Interstitial strengthening with nitrogen(N)is one of the effective ways to improve the mechanical properties of HEAs,but the effects of N on the microstructures and mechanical properties of the irradiated HEAs have not been studied ***,the microstructures and mechanical properties of N-free and N-doped Ti_(2)ZrNbV_(0.5)Mo_(0.2)HEAs before and after He irradiation were *** results showed that the solid solution strengthening caused by interstitial N improved the yield strength at room temperature and 1023 K without significantly reducing plasticity.N doping significantly promoted the growth,aggregation and wider spatial distribution of He bubbles by enhancing the mobility of He atoms/He-vacancy complexes,with the average size of He bubbles increasing from 10.4 nm in N-free HEA to 31.0 nm in N-doped *** addition,N-doped HEA showed a much higher irradiation hardness increment and hardening fraction than N-free *** to conventional materials doped with N,the introduction of N into Ti_(2)ZrNbV_(0.5)Mo_(0.2)HEA had adverse effects on its resistance to He bubble growth and irradiation *** results of this study indicated that N doping may not improve the irradiation resistance of HEAs.
Proton exchange membrane(PEM)water electrolysis presents considerable advantages in green hydrogen ***,oxygen evolution reaction(OER)catalysts in PEM water electrolysis currently encounter several pressing challenges,...
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Proton exchange membrane(PEM)water electrolysis presents considerable advantages in green hydrogen ***,oxygen evolution reaction(OER)catalysts in PEM water electrolysis currently encounter several pressing challenges,including high noble metal loading,low mass activity,and inadequate durability,which impede their practical application and *** we report a self-constructed layered catalyst for acidic OER by directly using an Ir-Ta-based metallic glass as the matrix,featuring a nanoporous IrO2 surface formed in situ on the amorphous IrTaOx nanostructure during *** distinctive architecture significantly enhances the accessibility and utilization of Ir,achieving a high mass activity of 1.06 A mgIr-1 at a 300 mV overpotential,13.6 and 3 1.2 times greater than commercial Ir/C and IrO2,*** cata-lyst also exhibits superb stability under industrial-relevant current densities in acid,indicating its potential for practical *** analyses reveal that the coordinated nature of the surface-active Ir species is effectively modulated through electronic interaction between Ir and Ta,preventing them from rapidly evolving into high valence states and suppressing the lattice oxygen ***,the underlying IrTaOx dynamically replenishes the depletion of surface-active sites through inward crystallization and selective dissolution,thereby ensuring the catalyst's long-term durability.
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