简介:Theadsorptionandelectronicpropertiesofisolatedcobaltphthalocyanine(CoPc)moleculeonanultrathinlayerofNaClhavebeeninvestigated.High-resolutionSTMimagesgiveadetailedpictureofthelowestunoccupiedmolecularorbital(LUMO)ofanisolatedCoPc.ItisshownthattheNaClultrathinlayerefficientlydecouplestheinteractionofthemoleculesfromtheunderneathmetalsubstrate,whichmakesitanidealsubstrateforstudyingthepropertiesofsinglemolecules.Moreover,strongdependenceoftheappearanceofthemoleculesonthesamplebiasintheregionofrelativelyhighbias(>3.1V)isascribedtotheimagepotentialstates(IPSs)ofNaCl/Cu(100),whichmayprovideuswithapossiblemethodtofabricatequantumstoragedevices.
简介:Asamemberof1Dnanostructuredmaterials,theferromagneticandnonmagneticmultilayernanowiresexhibittremendouspotentialapplicationsinmanyfieldsduetotheiruniquemagneticandelectricalproperties.Thebasicpropertyofmultilayernanowirearrays,suchascoercivity,iscrucialimportantforthefutureapplication.Inordertoobtainthecoercivityinformation,besidesdirectlymeasuringitthroughexperiment,theoreticalcalculationalsoprovidesausefulandfastwaytoevaluatethemultilayer’scoervicity.Fig.1(a)and(b)demonstrateasinglemultilayernanowireandnanowirearraysembodiedinamatrix,respectively.Inthiswork,byimprovingPant’smodel,wedevelopedthenewmodelandsuccessfullypredictedtherelationshipbetweenthecoercivitychangingofCu/Nimultilayernanowirearraysandstructualparameters.Fig.
简介:第三的Ni-5%Cu-5%Sn和Ni-10%Cu-10%Sn合金的液体状态undercoolability和水晶生长动力学被玻璃fluxing方法调查。在这二合金,304K的试验性的最大的undercoolings(0.18TL)和286K(0.17TL)被完成,树枝状的生长速度分别地达到39.8和25.1m/s。从进equiaxed结构的粗糙的树突的形态学的转变发生并且谷物尺寸(Ni)当undercooling增加时,显著地分阶段执行减少。格子常数和microhardness与undercooling的改进显然增加。Cu和Sn溶质内容的丰富减少树枝状的生长速度,当时提高格子常数和microhardness(Ni)阶段。
简介:AnefficientprocessfortheconversionofdimethyloxalateintoethyleneglycolwithhighselectivityandhighyieldoverCu2Owasinvestigated.InsituformedCuasatruecatalyticallyactivespeciesshowedagoodcatalyticperformanceforDMOconversiontoproduceEGin95%yield.
简介:StraightandBentnano-cantileverspecimensarerespectivelyproposedtoinvestigatethesingle-modeandmixed-modecrackinitiationattheCu/Siinterfaceedgeinnanoscalecomponents.Withaminuteloadingapparatus,allnanoscalesamplesareinsituloadedandobserved.Numericalanalysisisemployedtoacquirethecriticalinterfacialstressdistributionsduringcrackinitiation.ThestressconcentrationregionsneartheedgeofCu/Siinterfaceinallspecimensarewithinthescaleof100nm,andthecriticalnormalandshearstresseshaveacircularrelationinnanoscalecomponents,whichrepresentsthefracturecriterionoftheinterfaceinnanoscalecomponents.
简介:Inrecentyears,themagneticmultilayerednanomaterialshavebeenextensivelystudiedforelectronics[1],ultrahightensilestrength[2],highstoragemedia[3],andmicrowavedevices[4]sincethegiantmagnetoresistance(GMR)effectwasfoundin1988.Asamemberof1Dnanostructuredmaterials,theferromagneticandnonmagneticmultilayernanowiresalsoexhibittremendouspotentialapplicationsinmanyfieldsduetotheiruniquemagneticandelectricalproperties.Inthiswork,theCu/NimultilayernanowirearraysarepreparediniontracktemplatewithelectrodepositionmethodandanewfacilemethodisfirstintroducedtoeasilyconfirmthedifferentlayerthicknessandcomponentbyremovingthenonmagneticlayerofCu.
简介:Inthiswork,anewphotocatalytsIn(0.1),Cu(x)-ZnS(x=0.01,0.03,0.05)issuccessfullysynthesizedusingsimplehydrothermalmethod.ThephysicalandchemicalpropertiesoftheInandCuco-dopedZnSphotocatalystwerecharacterizedbyX-raydiffraction(XRD),fieldemissionscanningelectronmicroscopy(FESEM),diffusereflectanceUV-visiblespectroscopy(DRUV-visible)andphotoluminescencespectroscopy(PL).Thephotocatalyticactivityoftheas-preparedInandCuco-dopedZnSforhydrogenproductionfromwaterwithNa2SO3andNa2Sassacrificialagentundervisiblelightirradiation(λ≥425nm)wasinvestigated.Thepresenceofco-dopantsfacilitatedtheseparationofelectron-holeaswellasincreasesthevisiblelightabsorption.Theabsorptionedgeoftheco-dopedZnSphotocatalystshiftedtolongerwavelengthastheamountofCuincreases.ThisindicatesthattheabsorptionpropertiesdependedontheamountofCudoped.ThephotocatalyticactivityofsingledopedIn(0.1)-ZnSwassignificantlyenhancedbyco-dopingwithCuundervisiblelightirradiation.ThehighestphotocatalyticactivitywasobservedonIn(0.1),Cu(0.03)-ZnSwiththehydrogenproductionrateof131.32μmol/hundervisiblelightirradiation.Thisisalmost8timeshigherthansingledopedIn(0.1)-ZnS.
简介:
简介:AnewlayeredCu-basedoxychalcogenideBa3Fe2O5Cu2S2hasbeensynthesizedanditsmagneticandelectronicpropertieswererevealed.Ba3Fe2O5Cu2S2isbuiltupbyalternativelystacking[Cu2S2]2-layersandironperovskiteoxide[(FeO2)(BaO)(FeO2)]2-layersalongthecaxisthatareseparatedbybariumionswithFe3+fivefoldcoordinatedbyasquare-pyramidalarrangementofoxygen.Fromthebondvalencearguments,weinferredthatinlayeredCuCh-based(Ch=S,Se,Te)compoundsthe+3cationinperovskiteoxidesheetprefersasquarepyramidalsite,whilethelowervalencecationprefersthesquareplanarsites.Thestudiesonsusceptibility,transport,andopticalreflectivityindicatethatBa3Fe2O5Cu2S2isanantiferromagneticsemiconductorwithaNe′eltemperatureof121Kandanopticalbandgapof1.03eV.Themeasurementofheatcapacityfrom10Ktoroomtemperatureshowsnoanomalyat121K.TheDebyetemperatureisdeterminedtobe113K.TheoreticalcalculationsindicatethattheconductionbandminimumispredominantlycontributedbyO2pand3dstatesofFeionsthatantiferromagneticallyarrangedinFeO2layers.TheFe3dstatesarelocatedatlowerenergyandresultinanarrowbandgapincomparisonwiththatoftheisostructuralSr3Sc2O5Cu2S2.
简介:基于刚性配体2-(4-噻唑基)苯并咪唑和二价金属铜离子在水热条件下成功地合成了2个Keggin型多酸化合物[CuⅡ(L1)2(H2O)]2[SiW12O40](1)和[(L1)4(L2)2(H3PMo12O40)2]·5H2O(2)(L1=2-(4-噻唑基)苯并咪唑,L2=苯并咪唑).通过单晶X-射线、红外光谱和元素分析对化合物1和2进行了表征.在化合物1中,存在2个独立的结构单元:Keggin型多酸和蝴蝶状的络合物阳离子[Cu(L1)2(H2O)]2+.化合物2为含有混合配体的超分子结构,由Keggin型多酸、4个游离的L1和2个L2配体组成.此外,研究了化合物1和2的电化学和光催化性能.
简介:本文研究一类带有扰动且舍相依索赔的复合二项风险模型,考虑两种类型的索赔:主索赔和副索赔,主索赔以一定的概率引起副索赔且副索赔可能以一定的概率延迟到下一个时间段发生.通过引入辅助模型,利用递归等方法,得到了该模型下的Gerber--Shiu折现罚金函数和破产概率的明确表达式.最后给出了索赔额服从几何分布的数值模拟.
简介:
简介:带柔性时间窗的开放式车辆路径问题(OpeningVehicleRoutingProblemwithFlexibleTimewin—dows,OVRPFTW)对物流配送中的延迟或者提早具有一定程度的容忍.本文首先建立了OVRPFTW的数学模型,然后分别将Sine映射,Chebyshev映射和Logistic映射引入基本蚁群算法,构建了三种混沌蚁群算法,并将其用于求解OVRPFTW.算倒测试表明:Sine映射和Chebyshev映射能够明显地改进基本蚁群算法的优化性能,基于Sine映射和Chebyshev映射的混沌蚁群算法的求解性能优于基本蚁群算法和基于Logistic映射的混沌蚁群算法.