Nanoparticles are increasingly being recognized for their potential utility in biological applications including nanomedicine.Here,we have synthesized zinc oxide(ZnO)nanorods using zinc acetate and hexamethylenetetram...Nanoparticles are increasingly being recognized for their potential utility in biological applications including nanomedicine.Here,we have synthesized zinc oxide(ZnO)nanorods using zinc acetate and hexamethylenetetramine as precursors followed by characterizing using X-ray diffraction,fourier transform infrared spectroscopy,scanning electron microscopy and transmission electron microscopy.The growth of synthesized zinc oxide nanorods was found to be very close to its hexagonal nature,which is confirmed by X-ray diffraction.The nanorod was grown perpendicular to the long-axis and grew along the[001]direction,which is the nature of ZnO growth.The morphology of synthesized ZnO nanorods from the individual crystalline nucleus was confirmed by scanning and transmission electron microscopy.The length of the nanorod was estimated to be around 21 nm in diameter and 50 nm in length.Our toxicology studies showed that synthesized ZnO nanorods exposure on hela cells has no significant induction of oxidative stress or cell death even in higher concentration(10μg/ml).The results suggest that ZnO nanorods might be a safer nanomaterial for biological applications.展开更多
In the present work adaptation in meshless framework is proposed.The grid adaptation or mesh adaptation is quite well developed area in case of conventional grid based solvers and is popularly known asAdaptivemesh ref...In the present work adaptation in meshless framework is proposed.The grid adaptation or mesh adaptation is quite well developed area in case of conventional grid based solvers and is popularly known asAdaptivemesh refinement(AMR).In such cases the adaptation is done by subdividing the cells or elements into finer cells or elements.In case ofmeshlessmethods there are no cells or elements but only a cloud of points.In this work we propose to achieve the meshless adaptation by locally refining the point density in the regions demanding higher resolution.This results into an adaptive enriched cloud of points.We call this method as Adaptive Cloud Refinement(ACR).Themeshless solvers need connectivity information,which is a set of neighboring nodes.It is crucial part of meshless solvers.Obviously because of refining point density,the connectivity of nodes in such regions gets modified and hence has to be updated.An efficient connectivity update must exploit the fact that the node distribution would be largely unaffected except the region of adaptation.Hence connectivity updating needs to be done locally,only in these regions.In this paper we also present an extremely fast algorithm to update connectivity over adapted cloud called as ACU(Automatic Connectivity Update).展开更多
基金supported by NASA funding NNX08BA47ANCC-1-02038+1 种基金NIH-1P20MD001822-1NSF(RISE)HRD-0734846
文摘Nanoparticles are increasingly being recognized for their potential utility in biological applications including nanomedicine.Here,we have synthesized zinc oxide(ZnO)nanorods using zinc acetate and hexamethylenetetramine as precursors followed by characterizing using X-ray diffraction,fourier transform infrared spectroscopy,scanning electron microscopy and transmission electron microscopy.The growth of synthesized zinc oxide nanorods was found to be very close to its hexagonal nature,which is confirmed by X-ray diffraction.The nanorod was grown perpendicular to the long-axis and grew along the[001]direction,which is the nature of ZnO growth.The morphology of synthesized ZnO nanorods from the individual crystalline nucleus was confirmed by scanning and transmission electron microscopy.The length of the nanorod was estimated to be around 21 nm in diameter and 50 nm in length.Our toxicology studies showed that synthesized ZnO nanorods exposure on hela cells has no significant induction of oxidative stress or cell death even in higher concentration(10μg/ml).The results suggest that ZnO nanorods might be a safer nanomaterial for biological applications.
文摘In the present work adaptation in meshless framework is proposed.The grid adaptation or mesh adaptation is quite well developed area in case of conventional grid based solvers and is popularly known asAdaptivemesh refinement(AMR).In such cases the adaptation is done by subdividing the cells or elements into finer cells or elements.In case ofmeshlessmethods there are no cells or elements but only a cloud of points.In this work we propose to achieve the meshless adaptation by locally refining the point density in the regions demanding higher resolution.This results into an adaptive enriched cloud of points.We call this method as Adaptive Cloud Refinement(ACR).Themeshless solvers need connectivity information,which is a set of neighboring nodes.It is crucial part of meshless solvers.Obviously because of refining point density,the connectivity of nodes in such regions gets modified and hence has to be updated.An efficient connectivity update must exploit the fact that the node distribution would be largely unaffected except the region of adaptation.Hence connectivity updating needs to be done locally,only in these regions.In this paper we also present an extremely fast algorithm to update connectivity over adapted cloud called as ACU(Automatic Connectivity Update).
