Data mining in photocatalytic water splitting over perovskites literature for higher hydrogen production

Can, Elif; Yıldırım, Ramazan

doi:10.1016/j.apcatb.2018.09.104

Cited by 56 publications

(36 citation statements)

References 118 publications

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“…Although ML techniques have been used to model existing photocatalyst properties, their use to discover new photocatalysts is still relatively uncommon ( Can and Yildirim, 2019 ; Fathinia et al., 2016 ). There are two main problems in applying ML to photocatalyst design ( Masood et al., 2019 ).…”

Section: Introductionmentioning

confidence: 99%

Use of metamodels for rapid discovery of narrow bandgap oxide photocatalysts

Mai

Hisatomi

et al. 2021

iScience

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Summary New photocatalysts are traditionally identified through trial-and-error methods. Machine learning has shown considerable promise for improving the efficiency of photocatalyst discovery from a large potential pool. Here, we describe a multi-step, target-driven consensus method using a stacking meta-learning algorithm that robustly predicts bandgaps and H 2 evolution activities of photocatalysts. Trained on small datasets, these models can rapidly screen a large space (>10 million materials) to identify promising, non-toxic compounds as candidate water splitting photocatalysts. Two effective compounds and two controls possessing optimal bandgap values (∼2 eV) but not photoactivity as predicted by the models were synthesized. Their experimentally measured bandgaps and H 2 evolution activities were consistent with the predictions. Conspicuously, the two compounds with strong photoactivities under UV and visible light are promising visible-light-driven water splitting photocatalysts. This study demonstrates the power of machine learning and the potential of big data to accelerate discovery of next-generation photocatalysts.

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Section: Introductionmentioning

confidence: 99%

Use of metamodels for rapid discovery of narrow bandgap oxide photocatalysts

Mai

Hisatomi

et al. 2021

iScience

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“…Sustainable energy and a clean environment are two important concerns of modern society nowadays, although, in fact, the primary source of energy still depends on fossil fuels [ 1 , 2 , 3 ]. Declining oil reserves and increasing environmental issues have stimulated energy experts to seek a new alternative fuel sources to replace petroleum-based fuels [ 4 , 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

Microwave-assisted catalysis of water-glycerol solutions for hydrogen production over NiO/zeolite catalyst

Husin

Mahidin

Pontas

et al. 2021

Heliyon

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In this study, glycerol as an abundant green feedstock was used as a hydrogen source to investigate the reaction of water-glycerol solution decomposition by microwave-assisted catalytic to produce hydrogen over NiO/zeolite catalyst. The catalyst was prepared by inception wetness and then characterized through X-ray diffraction (XRD), scanning electron microscopy (SEM), Energy diffraction X-ray (EDX), and transmission electron microscope (TEM) measurements. The conversion process of glycerol into hydrogen was performed in a fixed-bed microwave-assisted reactor. Effect of microwave power, NiO content, and feed flow rate (FFR) on glycerol conversion and hydrogen selectivity were studied. The results of XRD and EDX measurement showed that NiO crystalline exists on the catalyst sample. The particle size of NiO/zeolite was determined in the range of 30–300 nm, and the particle was found well dispersed on the zeolite surface as confirmed by TEM. Furthermore, the maximum conversion rate can achieve about 96.67 %, while the highest hydrogen production was found up to 73.5 % with the condition of 20% of NiO as an active site on natural zeolite. It was found that the NiO content of 20% gave the best glycerol conversion at the microwave power of 600 W and FFR 0.5 ml/min. Microwave-assisted catalytic irradiation of glycerol appears to be a promising candidate for the production of H 2 from an aqueous glycerol solution.

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“…[11][12][13][14] Recently, the photocatalytic water splitting and CO 2 reduction properties have been explored in some typical perovskite-type materials. [15][16][17][18][19][20] For example, BaTiO 3 nanoparticles synthesized at room temperature and ambient pressure showed 7 and 1.9 times higher photocatalytic hydrogen evolution than the commercial BaTiO 3 in the presence and absence of TEOA as a sacricial agent, respectively. 21 Beata's group reported that silver deposited on the surface of LiNbO 3 in the form of Ag 2 O was responsible for the enhanced photocatalytic activity in the studied reaction.…”

Section: Introductionmentioning

confidence: 99%

Synthesis of SrTiO₃ submicron cubes with simultaneous and competitive photocatalytic activity for H₂O splitting and CO₂ reduction

et al. 2020

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Data mining in photocatalytic water splitting over perovskites literature for higher hydrogen production

Cited by 56 publications

References 118 publications

Use of metamodels for rapid discovery of narrow bandgap oxide photocatalysts

Use of metamodels for rapid discovery of narrow bandgap oxide photocatalysts

Microwave-assisted catalysis of water-glycerol solutions for hydrogen production over NiO/zeolite catalyst

Synthesis of SrTiO₃ submicron cubes with simultaneous and competitive photocatalytic activity for H₂O splitting and CO₂ reduction

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Data mining in photocatalytic water splitting over perovskites literature for higher hydrogen production

Cited by 56 publications

References 118 publications

Use of metamodels for rapid discovery of narrow bandgap oxide photocatalysts

Use of metamodels for rapid discovery of narrow bandgap oxide photocatalysts

Microwave-assisted catalysis of water-glycerol solutions for hydrogen production over NiO/zeolite catalyst

Synthesis of SrTiO3 submicron cubes with simultaneous and competitive photocatalytic activity for H2O splitting and CO2 reduction

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Synthesis of SrTiO₃ submicron cubes with simultaneous and competitive photocatalytic activity for H₂O splitting and CO₂ reduction