Radical chemistry of dissolved black carbon under sunlight irradiation: quantum yield prediction and effects on sulfadiazine photodegradation

2021 ◽  
Author(s):  
Yina Tu ◽  
Huaying Liu ◽  
Yingjie Li ◽  
Zhiyu Zhang ◽  
Yajie Lei ◽  
...  
Keyword(s):  
Quantum Yield ◽  
Black Carbon ◽  
Yield Prediction ◽  
Sunlight Irradiation ◽  
Radical Chemistry

A visible light responsive rhodium and antimony-codoped SrTiO3 powdered photocatalyst loaded with an IrO2 cocatalyst for solar water splitting

2014 ◽  
Vol 50 (19) ◽  
pp. 2543-2546 ◽  
Author(s):  
Rikako Asai ◽  
Hiroaki Nemoto ◽  
Qingxin Jia ◽  
Kenji Saito ◽  
Akihide Iwase ◽  
...  
Keyword(s):  
Solid State ◽  
Quantum Yield ◽  
Visible Light ◽  
Water Splitting ◽  
Solid State Reaction ◽  
Simulated Sunlight ◽  
Apparent Quantum Yield ◽  
Conventional Solid State Reaction ◽  
Sunlight Irradiation ◽  
Solar Water Splitting

IrO2-loaded SrTiO3 doped with rhodium and antimony synthesized by a conventional solid-state reaction splits water under visible light and simulated sunlight irradiation giving 0.1% of the apparent quantum yield at 420 nm.

A robust and efficient catalyst of CdxZn1−xSe motivated by CoP for photocatalytic hydrogen evolution under sunlight irradiation

2017 ◽  
Vol 53 (5) ◽  
pp. 897-900 ◽  
Author(s):  
Bocheng Qiu ◽  
Qiaohong Zhu ◽  
Mingyang Xing ◽  
Jinlong Zhang
Keyword(s):  
Quantum Yield ◽  
Hydrogen Evolution ◽  
High Efficiency ◽  
High Quantum Yield ◽  
Efficient Catalyst ◽  
Sunlight Irradiation ◽  
Photocatalytic Hydrogen Evolution ◽  
High Quantum

CdxZn1−xSe/CoP composites have a high efficiency of 45.1 mmol h−1 g−1 and a high quantum yield of 11.8% at ∼520 nm.

Radical chemistry of the antitumor drug pazelliptine (PZE) in aqueous solution or intercalated in poly(dA)-poly(dT)

1996 ◽  
Vol 93 ◽  
pp. 194-202
Author(s):  
E Renault ◽  
MP Fontaine-Aupart ◽  
M Gardès-Albert ◽  
C Rivalle ◽  
E Bisagni
Keyword(s):  
Aqueous Solution ◽  
Antitumor Drug ◽  
Radical Chemistry

Numerical analysis on the reduction of the inflow of black carbon from a road into an elementary school by a noise barrier

2016 ◽  
Vol 15 (4) ◽  
pp. 329-336 ◽  
Author(s):  
Gihoon Kim ◽  
◽  
Seongmin Jo ◽  
Hohyun Kim ◽  
Seungdo Yu ◽  
...  
Keyword(s):  
Elementary School ◽  
Numerical Analysis ◽  
Black Carbon ◽  
Noise Barrier

Size-dependent emission of a dipole coupled to a metal nanoparticle

MRS Advances ◽  
2020 ◽  
Vol 5 (62) ◽  
pp. 3315-3325
Author(s):  
Viktoriia Savchuk ◽  
Arthur R. Knize ◽  
Pavlo Pinchuk ◽  
Anatoliy O. Pinchuk
Keyword(s):  
Numerical Analysis ◽  
Quantum Yield ◽  
Electric Dipole ◽  
Incident Radiation ◽  
Metal Nanoparticle ◽  
Plasmonic Nanoparticle ◽  
Size Dependent ◽  
Emission Enhancement ◽  
Electric Dipoles

AbstractWe present a systematic numerical analysis of the quantum yield of an electric dipole coupled to a plasmonic nanoparticle. We observe that the yield is highly dependent on the distance between the electric dipole and the nanoparticle, the size and permittivity of the nanoparticle, and the wavelength of the incident radiation. Our results indicate that enhancement of the quantum yield is only possible for electric dipoles coupled to a nanoparticle with a radius of 20 nm or larger. As the size of the nanoparticle is increased, emission enhancement occurs at wavelengths dependent on the coupling distance.

Analysis of Crop Yield Prediction of Kharif & Rabi Jowar Crops Using Data Mining Techniques

2017 ◽  
Vol 7 (11) ◽  
pp. 79
Author(s):  
Sujata Mulik
Keyword(s):  
Data Mining ◽  
Crop Yield ◽  
Crop Production ◽  
Climatic Factors ◽  
Crop Productivity ◽  
Yield Prediction ◽  
Data Mining Techniques ◽  
Agriculture Sector ◽  
Using Data ◽  
Rabi Crops

Agriculture sector in India is facing rigorous problem to maximize crop productivity. More than 60 percent of the crop still depends on climatic factors like rainfall, temperature, humidity. This paper discusses the use of various Data Mining applications in agriculture sector. Data Mining is used to solve various problems in agriculture sector. It can be used it to solve yield prediction.  The problem of yield prediction is a major problem that remains to be solved based on available data. Data mining techniques are the better choices for this purpose. Different Data Mining techniques are used and evaluated in agriculture for estimating the future year's crop production. In this paper we have focused on predicting crop yield productivity of kharif & Rabi Crops. 

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