Gallium nitride(GaN)nanostructures are highly promising for photoelectrochemical(PEC)water splitting due to their excellent electron mobility,chemical stability,and large surface area.However,the wide bandgap(~3.4 eV)...Gallium nitride(GaN)nanostructures are highly promising for photoelectrochemical(PEC)water splitting due to their excellent electron mobility,chemical stability,and large surface area.However,the wide bandgap(~3.4 eV)of GaN limits its ability to absorb a broad spectrum of solar radiation,restricting its PEC performance.To address this limitation,MoS_(2)/GaN nanorods(NRs)heterostructures for enhanced PEC applications were fabricated on thin tungsten foil using a combination of atmospheric pressure chemical vapor deposition(CVD)and laser molecular beam epitaxy(LMBE).The Raman spectroscopy and X-ray diffraction revealed the hexagonal phase of GaN and MoS_(2).X-ray photoelectron spectroscopy examined the electronic states of the GaN and MoS_(2).PEC measurements revealed that the MoS_(2)-decorated GaN NRs exhibited a photocurrent density of approximately172μA/cm_(2),nearly 2.5-fold compared to bare GaN NRs(~70μA/cm_(2)).The increased photocurrent density is ascribed to the Type II band alignment between MoS_(2)and GaN,which promotes effective charge separation,the decrease in charge transfer resistance,and the increase in active sites.The findings of this work underscore that the CVD and LMBE technique fabricated MoS_(2)/GaN heterostructures on W metal foil substrate can provide the vital strategy to raise the PEC efficiency toward solar water splitting.展开更多
The advancement in technologies made the entire manufacturing system,to be operated with more efficient,flexible,user friendly,more productive and cost effective.One such a system to be focused for advancement is plas...The advancement in technologies made the entire manufacturing system,to be operated with more efficient,flexible,user friendly,more productive and cost effective.One such a system to be focused for advancement is plasma cutting system,which has wider industrial applications.There are many researches pursuing at various area of plasma cutting technology,still the automated and optimized parameters value selection is challenging.The work is aimed to eliminate the manual mode of feeding the input parameters for cutting operation.At present,cutting parameters are fed by referring the past cut data information or with the assistance of experienced employers.The cutting process parameters selections will have direct impact on the quality of the material being cut,and life of the consumables.This paper is intended to automate the process parameters selection by developing the mathematical model with existing cutting process parameters database.In this,three different approaches,multiple regression,multiple polynomial regression and AI technique,are selected and analyzed with the mathematical relations developed between the different cutting process parameters.The accuracy and reliability of those methods are detailed.The advantage and disadvantage of those methods for optimal setting conditions are discussed.The appropriate method that can be preferred for automated and optimal settings are elucidated.Finally,the selected technique is checked for accuracy and reliability for the existing cut data.展开更多
基金funded by the CSIR-FIRST(MLP211732)SAMMARTH(HCP-55).
文摘Gallium nitride(GaN)nanostructures are highly promising for photoelectrochemical(PEC)water splitting due to their excellent electron mobility,chemical stability,and large surface area.However,the wide bandgap(~3.4 eV)of GaN limits its ability to absorb a broad spectrum of solar radiation,restricting its PEC performance.To address this limitation,MoS_(2)/GaN nanorods(NRs)heterostructures for enhanced PEC applications were fabricated on thin tungsten foil using a combination of atmospheric pressure chemical vapor deposition(CVD)and laser molecular beam epitaxy(LMBE).The Raman spectroscopy and X-ray diffraction revealed the hexagonal phase of GaN and MoS_(2).X-ray photoelectron spectroscopy examined the electronic states of the GaN and MoS_(2).PEC measurements revealed that the MoS_(2)-decorated GaN NRs exhibited a photocurrent density of approximately172μA/cm_(2),nearly 2.5-fold compared to bare GaN NRs(~70μA/cm_(2)).The increased photocurrent density is ascribed to the Type II band alignment between MoS_(2)and GaN,which promotes effective charge separation,the decrease in charge transfer resistance,and the increase in active sites.The findings of this work underscore that the CVD and LMBE technique fabricated MoS_(2)/GaN heterostructures on W metal foil substrate can provide the vital strategy to raise the PEC efficiency toward solar water splitting.
文摘The advancement in technologies made the entire manufacturing system,to be operated with more efficient,flexible,user friendly,more productive and cost effective.One such a system to be focused for advancement is plasma cutting system,which has wider industrial applications.There are many researches pursuing at various area of plasma cutting technology,still the automated and optimized parameters value selection is challenging.The work is aimed to eliminate the manual mode of feeding the input parameters for cutting operation.At present,cutting parameters are fed by referring the past cut data information or with the assistance of experienced employers.The cutting process parameters selections will have direct impact on the quality of the material being cut,and life of the consumables.This paper is intended to automate the process parameters selection by developing the mathematical model with existing cutting process parameters database.In this,three different approaches,multiple regression,multiple polynomial regression and AI technique,are selected and analyzed with the mathematical relations developed between the different cutting process parameters.The accuracy and reliability of those methods are detailed.The advantage and disadvantage of those methods for optimal setting conditions are discussed.The appropriate method that can be preferred for automated and optimal settings are elucidated.Finally,the selected technique is checked for accuracy and reliability for the existing cut data.
