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Plasma-enhanced atomic layer deposition of Co using Co(MeCp)_2 precursor 被引量:3
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作者 Jusang Park Han-Bo-Ram Lee +5 位作者 doyoung kim Jaehong Yoon Clement Lansalot Julien Gatineau Henri Chevrel Hyungjun kim 《Journal of Energy Chemistry》 SCIE EI CAS CSCD 2013年第3期403-407,共5页
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
关键词 PE-ALD Th-ALD cobalt metal thin films metal organic precursors
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Nitric-oxide enriched plasma-activated water inactivates 229E coronavirus and alters antiviral response genes in human lung host cells
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作者 Nagendra Kumar Kaushik Pradeep Bhartiya +5 位作者 Neha Kaushik Yungoh Shin Linh Nhat Nguyen Jang Sick Park doyoung kim Eun Ha Choi 《Bioactive Materials》 SCIE CSCD 2023年第1期569-580,共12页
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
关键词 Nitric oxide enriched plasma-activated water Microwave plasma CORONAVIRUS Virus inactivation Gene expression
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Epidermal piezoresistive structure with deep learning-assisted data translation
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作者 Changrok So Jong Uk kim +12 位作者 Haiwen Luan Sang Uk Park Hyochan kim Seungyong Han doyoung kim Changhwan Shin Tae-il kim Wi Hyoung Lee Yoonseok Park Keun Heo Hyoung Won Baac Jong Hwan Ko Sang Min Won 《npj Flexible Electronics》 SCIE 2022年第1期672-680,共9页
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
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