Cobalt (Co) thermal or plasma enhanced atomic layer deposition (PE-ALD) was investigated using a novel metal organic precursor, Co(MeCp)2, and NH3 or H2 or their plasma as a reactant. The growth characteristics,...Cobalt (Co) thermal or plasma enhanced atomic layer deposition (PE-ALD) was investigated using a novel metal organic precursor, Co(MeCp)2, and NH3 or H2 or their plasma as a reactant. The growth characteristics, electrical and microstructural properties were investigated. Especially, PE-ALD produced Co thin films at low growth temperature down to 100℃. Interestingly, the low temperature growth of Co films showed the formation of columnar structure at substrate temperature below 300℃. The growth characteristics and films properties of PE-ALD Co using bis(η-methylcyclopentadienyl) Co(II) (Co(MeCp)2) was compared with those of PE-ALD Co using other Cp based metal organic precursors, bis-cyclopentadienyl cobalt (II) (CoCp2) and cyclopentadienyl isopropyl acetamidinato-cobalt (Co(CpAMD)).展开更多
The ongoing pandemic caused by the novel coronavirus,SARS-CoV-2,is influencing global health.Moreover,there is a major threat of future coronaviruses affecting the entire world in a similar,or even more dreadful,manne...The ongoing pandemic caused by the novel coronavirus,SARS-CoV-2,is influencing global health.Moreover,there is a major threat of future coronaviruses affecting the entire world in a similar,or even more dreadful,manner.Therefore,effective and biocompatible therapeutic options against coronaviruses are urgently needed.To address this challenge,medical specialists require a well-informed and safe approach to treating human coronaviruses(HCoVs).Herein,an environmental friendly approach for viral inactivation,based on plasma technology,was considered.A microwave plasma system was employed for the generation of the high amount of gaseous nitric oxide to prepare nitric oxide enriched plasma-activated water(NO-PAW),the effects of which on coronaviruses,have not been reported to date.To determine these effects,alpha-HCoV-229E was used in an experimental model.We found that NO-PAW treatment effectively inhibited coronavirus infection in host lung cells,visualized by evaluating the cytopathic effect and expression level of spike proteins.Interestingly,NO-PAW showed minimal toxicity towards lung host cells,suggesting its potential for therapeutic application.Moreover,this new approach resulted in viral inactivation and greatly improved the gene levels involved in host antiviral responses.Together,our findings provide evidence of an initiation point for further progress toward the clinical development of antiviral treatments,including such coronaviruses.展开更多
Continued research on the epidermal electronic sensor aims to develop sophisticated platforms that reproduce key multimodal responses in human skin,with the ability to sense various external stimuli,such as pressure,s...Continued research on the epidermal electronic sensor aims to develop sophisticated platforms that reproduce key multimodal responses in human skin,with the ability to sense various external stimuli,such as pressure,shear,torsion,and touch.The development of such applications utilizes algorithmic interpretations to analyze the complex stimulus shape,magnitude,and various moduli of the epidermis,requiring multiple complex equations for the attached sensor.In this experiment,we integrate silicon piezoresistors with a customized deep learning data process to facilitate in the precise evaluation and assessment of various stimuli without the need for such complexities.With the ability to surpass conventional vanilla deep regression models,the customized regression and classification model is capable of predicting the magnitude of the external force,epidermal hardness and object shape with an average mean absolute percentage error and accuracy of<15 and 96.9%,respectively.The technical ability of the deep learning-aided sensor and the consequent accurate data process provide important foundations for the future sensory electronic system.展开更多
基金supported by the Technology Innovation Program Industrial Strategic Technology Development Program(10035430)Development of reliable fine-pitch metallization technologies funded by the Ministry of Knowledge Economy MKE,Korea.The synchrotron radiation XRD analysis was performed at Pohang Light Source beam line 3C2
文摘Cobalt (Co) thermal or plasma enhanced atomic layer deposition (PE-ALD) was investigated using a novel metal organic precursor, Co(MeCp)2, and NH3 or H2 or their plasma as a reactant. The growth characteristics, electrical and microstructural properties were investigated. Especially, PE-ALD produced Co thin films at low growth temperature down to 100℃. Interestingly, the low temperature growth of Co films showed the formation of columnar structure at substrate temperature below 300℃. The growth characteristics and films properties of PE-ALD Co using bis(η-methylcyclopentadienyl) Co(II) (Co(MeCp)2) was compared with those of PE-ALD Co using other Cp based metal organic precursors, bis-cyclopentadienyl cobalt (II) (CoCp2) and cyclopentadienyl isopropyl acetamidinato-cobalt (Co(CpAMD)).
基金the National Research Foundation(NRF)of Korea,funded by the Korean government(2021R1A6A1A03038785,2021R1F1A1055694),and by Kwangwoon University in 2021.
文摘The ongoing pandemic caused by the novel coronavirus,SARS-CoV-2,is influencing global health.Moreover,there is a major threat of future coronaviruses affecting the entire world in a similar,or even more dreadful,manner.Therefore,effective and biocompatible therapeutic options against coronaviruses are urgently needed.To address this challenge,medical specialists require a well-informed and safe approach to treating human coronaviruses(HCoVs).Herein,an environmental friendly approach for viral inactivation,based on plasma technology,was considered.A microwave plasma system was employed for the generation of the high amount of gaseous nitric oxide to prepare nitric oxide enriched plasma-activated water(NO-PAW),the effects of which on coronaviruses,have not been reported to date.To determine these effects,alpha-HCoV-229E was used in an experimental model.We found that NO-PAW treatment effectively inhibited coronavirus infection in host lung cells,visualized by evaluating the cytopathic effect and expression level of spike proteins.Interestingly,NO-PAW showed minimal toxicity towards lung host cells,suggesting its potential for therapeutic application.Moreover,this new approach resulted in viral inactivation and greatly improved the gene levels involved in host antiviral responses.Together,our findings provide evidence of an initiation point for further progress toward the clinical development of antiviral treatments,including such coronaviruses.
基金support of the MSIT (Ministry of Science and ICT),Korea,under the ICT Creative Consilience program (IITP-2020-0-01821)support by a National Research Foundation of Korea (NRF)grant funded by the Korea government (MSIP+5 种基金Ministry of Science,ICT&Future Planninggrant no.NRF-2021R1C1C1009410,and NRF2022R1A4A3032913)support by the Nano Material Technology Development Program (2020M3H4A1A03084600)through the National Research Foundation of Korea (NRF)funded by the Ministry of Science and ICT of Koreasupported by the Institute of Information&communications Technology Planning&Evaluation (IITP)grant funded by the Korea government (IITP-2021-0-02068)supported by the National Research Foundation of Korea (NRF)grant funded by the Korea government (MSITNRF-2018M3A7B4071110).
文摘Continued research on the epidermal electronic sensor aims to develop sophisticated platforms that reproduce key multimodal responses in human skin,with the ability to sense various external stimuli,such as pressure,shear,torsion,and touch.The development of such applications utilizes algorithmic interpretations to analyze the complex stimulus shape,magnitude,and various moduli of the epidermis,requiring multiple complex equations for the attached sensor.In this experiment,we integrate silicon piezoresistors with a customized deep learning data process to facilitate in the precise evaluation and assessment of various stimuli without the need for such complexities.With the ability to surpass conventional vanilla deep regression models,the customized regression and classification model is capable of predicting the magnitude of the external force,epidermal hardness and object shape with an average mean absolute percentage error and accuracy of<15 and 96.9%,respectively.The technical ability of the deep learning-aided sensor and the consequent accurate data process provide important foundations for the future sensory electronic system.