SnS-AuPd thin films for hydrogen production under solar light simulation

López-Martínez, Sergio D.; Juárez-Ramírez, Isaías; Torres-Martı́nez, Leticia M.; Babar, Pravin; Lokhande, A.C.; Kim, Jihun

doi:10.1016/j.jphotochem.2018.04.033

Cited by 10 publications

(3 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This indicates that the coexistence of reductive and oxidative cocatalysts could synergistically improve the photocatalytic potential. López-Martínez et al observed the same phenomenon where the maximum HE rate of 728 μmol/m 2 was achieved over dual AuPd cocatalysts loaded onto SnS after 3 h irradiation (Xe lamp of 450 W and 100 mW/cm 2 ) …”

Section: Resultsmentioning

confidence: 61%

See 1 more Smart Citation

Synergistic Effect of Redox Dual PdO_x/MnO_x Cocatalysts on the Enhanced H₂ Production Potential of a SnS/α-Fe₂O₃ Heterojunction via Ethanol Photoreforming

et al. 2022

View full text Add to dashboard Cite

In the quest for optimal H 2 evolution (HE) through ethanol photoreforming, a dual cocatalyst-modified heterocatalyst strategy is utilized. Tin(II) sulfide (SnS) was hybridized with α-Fe 2 O 3 to form the heterocatalyst FeOSnS with a p−n heterojunction structure as confirmed by X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FT-IR), UV−vis diffusive reflectance spectroscopy (UV− vis DRS), and Brunauer−Emmett−Teller (BET) techniques. PdO x and PdO x /MnO x cocatalysts were loaded onto the FeOSnS heterocatalyst through the impregnation method, as verified by high-resolution transform electron microscopy (HRTEM), X-ray photoelectron spectroscopy (XPS), and elemental mapping. Photocatalytic ethanol photoreforming resulted in the production of H 2 as the main product with a selectivity of 99% and some trace amounts of CH 4 . The FeOSnS2-PdO x 2%/MnO x 1% photocatalyst achieved the highest HE rate of 1654 μmol/g, attributed to the synergistic redox contribution of the PdO x and MnO x species.

show abstract

Section: Resultsmentioning

confidence: 61%

“…López-Martínez et al observed the same phenomenon where the maximum HE rate of 728 μmol/m 2 was achieved over dual AuPd cocatalysts loaded onto SnS after 3 h irradiation (Xe lamp of 450 W and 100 mW/cm 2 ). 66 …”

Section: Resultsmentioning

confidence: 99%

Synergistic Effect of Redox Dual PdO_x/MnO_x Cocatalysts on the Enhanced H₂ Production Potential of a SnS/α-Fe₂O₃ Heterojunction via Ethanol Photoreforming

et al. 2022

View full text Add to dashboard Cite

show abstract

“…The lattice parameters of doped forty-one samples of SnS semiconductors were employed in establishing an intelligent-based relationship through which energy gap of the semiconductor nanocatalyst could be determined. The experimental data for model development and validation was extracted from the literature [30,[104][105][106][107][108][109][110]. Aside from doping, an experimental condition such as annealing temperature influences the dislocation density as well as the sample microstrain with ultimate impact on the sample lattice parameters.…”

Section: Description Of the Employed Set Of Data For Simulationmentioning

confidence: 99%

Modeling Energy Gap of Doped Tin (II) Sulfide Metal Semiconductor Nanocatalyst Using Genetic Algorithm‐Based Support Vector Regression

Okoye

Azi

Owolabi

et al. 2022

Journal of Nanomaterials

View full text Add to dashboard Cite

Tin (II) sulfide (SnS) is a metal chalcogenide semiconducting material with fascinating and admirable physical features for practical applications in solid-state batteries, photodetectors, gas sensors, optoelectronic devices, emission transistors, and photocatalysis among others. The energy gap of SnS semiconductor nanomaterial that facilitates its usefulness in many applications can be adjusted through dopant incorporation which results in crystal lattice distortion at various crystallite sizes of the semiconductor. This work employs lattice parameter descriptors to develop a hybrid genetic algorithm (GA) and support vector regression algorithm (SVR) intelligent model for determining the energy gap of doped SnS semiconductors. The predictive strength of the developed GA-SVR model is compared with the stepwise regression algorithm- (STRA-) based model using different performance evaluation parameters. The developed GA-SVR model performs better than STRA model based on root mean square error, mean absolute error, and correlation coefficient with performance improvement of 70.68%, 67.63%, and 20.98%, respectively, using the testing set of data. Influence of different dopants and experimental conditions on energy gap of SnS semiconductor were investigated using the developed model, while the obtained values for the energy gaps agree with the measured values. The developed models demonstrate high degree of potentials in terms of accuracy, precision, and ease of implementation that fosters their real-life applicability in estimating the energy gap of doped SnS semiconductor with experimental stress circumvention.

show abstract

Recent strategies for improving semiconductor performance on green photocatalysis processes

Alfaro-Cruz

Juárez-Ramírez

Torres-Martı́nez

2021

Handbook of Greener Synthesis of Nanomaterials and Compounds

View full text Add to dashboard Cite

SnS-AuPd thin films for hydrogen production under solar light simulation

Cited by 10 publications

References 31 publications

Synergistic Effect of Redox Dual PdO_x/MnO_x Cocatalysts on the Enhanced H₂ Production Potential of a SnS/α-Fe₂O₃ Heterojunction via Ethanol Photoreforming

Synergistic Effect of Redox Dual PdO_x/MnO_x Cocatalysts on the Enhanced H₂ Production Potential of a SnS/α-Fe₂O₃ Heterojunction via Ethanol Photoreforming

Modeling Energy Gap of Doped Tin (II) Sulfide Metal Semiconductor Nanocatalyst Using Genetic Algorithm‐Based Support Vector Regression

Recent strategies for improving semiconductor performance on green photocatalysis processes

Contact Info

Product

Resources

About

SnS-AuPd thin films for hydrogen production under solar light simulation

Cited by 10 publications

References 31 publications

Synergistic Effect of Redox Dual PdOx/MnOx Cocatalysts on the Enhanced H2 Production Potential of a SnS/α-Fe2O3 Heterojunction via Ethanol Photoreforming

Synergistic Effect of Redox Dual PdOx/MnOx Cocatalysts on the Enhanced H2 Production Potential of a SnS/α-Fe2O3 Heterojunction via Ethanol Photoreforming

Modeling Energy Gap of Doped Tin (II) Sulfide Metal Semiconductor Nanocatalyst Using Genetic Algorithm‐Based Support Vector Regression

Recent strategies for improving semiconductor performance on green photocatalysis processes

Contact Info

Product

Resources

About

Synergistic Effect of Redox Dual PdO_x/MnO_x Cocatalysts on the Enhanced H₂ Production Potential of a SnS/α-Fe₂O₃ Heterojunction via Ethanol Photoreforming

Synergistic Effect of Redox Dual PdO_x/MnO_x Cocatalysts on the Enhanced H₂ Production Potential of a SnS/α-Fe₂O₃ Heterojunction via Ethanol Photoreforming