Oxide-polymer coatings were formed on the surface of the vanadium-free Ti–15Mo titanium alloy.The Ti alloy surface was modified by the plasma electrolytic oxidation process,and then,the polymer layer of a poly(D,Llac...Oxide-polymer coatings were formed on the surface of the vanadium-free Ti–15Mo titanium alloy.The Ti alloy surface was modified by the plasma electrolytic oxidation process,and then,the polymer layer of a poly(D,Llactide-co-glycolide)with doxycycline was formed.The polymer evenly covered the porous oxide layer and filled some of the pores.However,the microstructure of the polymer surface was completely different from that of the PEO layer.The surface morphology,roughness and microstructure of the polymer layer were examined by scanning electron microscopy(SEM)and a confocal microscope.The results confirmed the effectiveness of polymer and doxycycline deposition in their stable chemical forms.The drug analysis was performed by highperformance liquid chromatography.The 1H NMR technique was used to monitor the course of hydrolytic degradation of PLGA.It was shown that the PLGA layer is hydrolysed within a few weeks,and the polyglycolidyl part of the copolymer is hydrolysed to glycolic acid as first and much faster than the polylactide one to lactic acid.This paper presents influence of different microstructures on the biological properties of modified titanium alloys.Cytocompatibility and bacterial adhesion tests were evaluated using osteoblast-like MG-63 cells and using the reference S.aureus and S.epidermidis strains.The results showed that the optimum concentration of doxycycline was found to inhibit the growth of the bacteria and that the layer is still cytocompatible.展开更多
Artificial intelligence(AI)advancements are driving the need for highly paral-lel and energy-efficient computing analogous to the human brain and visualsystem.Inspired by the human brain,resistive random-access memori...Artificial intelligence(AI)advancements are driving the need for highly paral-lel and energy-efficient computing analogous to the human brain and visualsystem.Inspired by the human brain,resistive random-access memories(ReRAMs)have recently emerged as an essential component of the intelligentcircuitry architecture for developing high-performance neuromorphic comput-ing systems.This occurs due to their fast switching with ultralow power con-sumption,high ON/OFF ratio,excellent data retention,good endurance,andeven great possibilities for altering resistance analogous to their biologicalcounterparts for neuromorphic computing applications.Additionally,with theadvantages of photoelectric dual modulation of resistive switching,ReRAMsallow optically inspired artificial neural networks and reconfigurable logicoperations,promoting innovative in-memory computing technology forneuromorphic computing and image recognition tasks.Optoelectronicneuromorphic computing architectured ReRAMs can simulate neural func-tionalities,such as light-triggered long-term/short-term plasticity.They can beused in intelligent robotics and bionic neurological optoelectronic systems.Metal oxide(MOx)–polymer hybrid nanocomposites can be beneficial as anactive layer of the bistable metal–insulator–metal ReRAM devices,which holdpromise for developing high-performance memory technology.This reviewexplores the state of the art for developing memory storage,advancement inmaterials,and switching mechanisms for selecting the appropriate materials asactive layers of ReRAMs to boost the ON/OFF ratio,flexibility,and memorydensity while lowering programming voltage.Furthermore,material designcum-synthesis strategies that greatly influence the overall performance of MOx–polymer hybrid nanocomposite ReRAMs and their performances arehighlighted.Additionally,the recent progress of multifunctional optoelectronicMOx–polymer hybrid composites-based ReRAMs are explored as artificial syn-apses for neural networks to emulate neuromorphic visualization and memo-rize information.Finally,the challenges,limitations,and future outlooks ofthe fabrication of MOx–polymer hybrid composite ReRAMs over the conven-tional von Neumann computing systems are discussed.展开更多
基金supported by the National Science Centre,Poland(UMO-2016/21/D/ST5/01652)supported by Rector’s Grant in the field of research and development(Silesian University of Technology,Poland,04/010/RGJ19/0095).
文摘Oxide-polymer coatings were formed on the surface of the vanadium-free Ti–15Mo titanium alloy.The Ti alloy surface was modified by the plasma electrolytic oxidation process,and then,the polymer layer of a poly(D,Llactide-co-glycolide)with doxycycline was formed.The polymer evenly covered the porous oxide layer and filled some of the pores.However,the microstructure of the polymer surface was completely different from that of the PEO layer.The surface morphology,roughness and microstructure of the polymer layer were examined by scanning electron microscopy(SEM)and a confocal microscope.The results confirmed the effectiveness of polymer and doxycycline deposition in their stable chemical forms.The drug analysis was performed by highperformance liquid chromatography.The 1H NMR technique was used to monitor the course of hydrolytic degradation of PLGA.It was shown that the PLGA layer is hydrolysed within a few weeks,and the polyglycolidyl part of the copolymer is hydrolysed to glycolic acid as first and much faster than the polylactide one to lactic acid.This paper presents influence of different microstructures on the biological properties of modified titanium alloys.Cytocompatibility and bacterial adhesion tests were evaluated using osteoblast-like MG-63 cells and using the reference S.aureus and S.epidermidis strains.The results showed that the optimum concentration of doxycycline was found to inhibit the growth of the bacteria and that the layer is still cytocompatible.
基金Council of Scientific and Industrial Research,India,Grant/Award Number:08/096(0012)/2020-EMR-IGovernment of Uttar Pradesh,India,Grant/Award Numbers:108/2021/2585/Sattar-4-2021-4(28)/2021/20,78/2022/1984/Sattar-4-2022-003-70-4099/7/022/19,CST/D-1524+1 种基金Chaudhary Charan Singh University,India,Grant/Award Number:Dev./1043/29.06.2022National Research Foundation of Korea,Grant/Award Numbers:2019R1A2C1085448,2023R1A2C1005421。
文摘Artificial intelligence(AI)advancements are driving the need for highly paral-lel and energy-efficient computing analogous to the human brain and visualsystem.Inspired by the human brain,resistive random-access memories(ReRAMs)have recently emerged as an essential component of the intelligentcircuitry architecture for developing high-performance neuromorphic comput-ing systems.This occurs due to their fast switching with ultralow power con-sumption,high ON/OFF ratio,excellent data retention,good endurance,andeven great possibilities for altering resistance analogous to their biologicalcounterparts for neuromorphic computing applications.Additionally,with theadvantages of photoelectric dual modulation of resistive switching,ReRAMsallow optically inspired artificial neural networks and reconfigurable logicoperations,promoting innovative in-memory computing technology forneuromorphic computing and image recognition tasks.Optoelectronicneuromorphic computing architectured ReRAMs can simulate neural func-tionalities,such as light-triggered long-term/short-term plasticity.They can beused in intelligent robotics and bionic neurological optoelectronic systems.Metal oxide(MOx)–polymer hybrid nanocomposites can be beneficial as anactive layer of the bistable metal–insulator–metal ReRAM devices,which holdpromise for developing high-performance memory technology.This reviewexplores the state of the art for developing memory storage,advancement inmaterials,and switching mechanisms for selecting the appropriate materials asactive layers of ReRAMs to boost the ON/OFF ratio,flexibility,and memorydensity while lowering programming voltage.Furthermore,material designcum-synthesis strategies that greatly influence the overall performance of MOx–polymer hybrid nanocomposite ReRAMs and their performances arehighlighted.Additionally,the recent progress of multifunctional optoelectronicMOx–polymer hybrid composites-based ReRAMs are explored as artificial syn-apses for neural networks to emulate neuromorphic visualization and memo-rize information.Finally,the challenges,limitations,and future outlooks ofthe fabrication of MOx–polymer hybrid composite ReRAMs over the conven-tional von Neumann computing systems are discussed.
