Dual optimization approach to Mo single atom dispersed g-C3N4 photocatalyst: Morphology and defect evolution

Zhang, Chen; Qin, Deyu; Zhou, Yin; Qin, Fanzhi; Wang, Hou; Wang, Wenjun; Yang, Yang; Zeng, Guangming

doi:10.1016/j.apcatb.2021.120904

Cited by 283 publications

(87 citation statements)

References 79 publications

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“…33,[168][169][170][171][172] In particular, the solvothermal method is feasible to fabricate some potential substrates such as MOFs, TiO 2 , and g-C 3 N 4 to anchor SAs for photocatalytic and electrocatalytic reactions. 168,173,174 For instance, Wang et al have developed a high-loading dual-single-atom (DSA)/TiO 2 NS photocatalyst (Fig. 4a) by a solvothermal method, which exhibited high photocatalytic activity/durability for water splitting.…”

Section: Unique Fabrication Routes Of Sacs For Photocatalytic and Pho...mentioning

confidence: 99%

Single-atom catalysts for high-efficiency photocatalytic and photoelectrochemical water splitting: distinctive roles, unique fabrication methods and specific design strategies

Liu

Ran

et al. 2022

J. Mater. Chem. A

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Section: Unique Fabrication Routes Of Sacs For Photocatalytic and Pho...mentioning

confidence: 99%

Single-atom catalysts for high-efficiency photocatalytic and photoelectrochemical water splitting: distinctive roles, unique fabrication methods and specific design strategies

Liu

Ran

et al. 2022

J. Mater. Chem. A

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“…[ 94 ] Besides OVs, anion vacancies have also been observed in ionic compound‐based semiconductor photocatalysts. For instance, sulfur vacancies for ZnS, [ 95 ] Zn x Cd 1− x S, [ 96 ] and CuIn 5 S 8 , [ 15 ] nitrogen vacancies for Ta 3 N 5 , [ 97 ] and covalent compounds such as g‐C 3 N 4 which both contain nitrogen vacancies and carbon vacancies, [ 98 ] have all been recently reported. Importantly, the density and nature of these vacancies can be tuned by varying the synthesis conditions.…”

Section: Experimental Strategies For Co2 Photoreduction To Ch4mentioning

confidence: 99%

Emerging Strategies for CO₂ Photoreduction to CH₄: From Experimental to Data‐Driven Design

Cheng

Sun

Lim

et al. 2022

Advanced Energy Materials

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been described as a key metric for understanding the effects of global warming due to its direct impact on climate change. [2] Extensive modeling with energy-economyenvironment scenarios or projections to keep the global temperature from rising above 1.5 °C by the year 2100 shows that such a positive outlook is only possible if the global energy system is completely decarbonized (i.e., net-zero global CO 2 emissions) by mid-century, followed by active CO 2 removal (i.e., carbon-negative) in the second half of the century. [3] The catalytic conversion of CO 2 to valuable energy-related products (e.g., syngas, CH 4 , CH 3 OH, and longer-chain hydrocarbons) [4] by thermal reforming and hydrogenation, [5][6][7][8][9][10][11] electrocatalysis, [12][13][14] or photocatalysis [15] could occupy an important position in a future carbon-negative economy by directly replacing nonrenewable sources of these molecules, provided that the energy inputs to these processes are themselves derived from renewable sources. [16,17] In this regard, photocatalytic strategies stand out by not requiring a secondary medium of energy storage, and being able to realize the CO 2 conversion into high value-added fuels directly via renewable solar energy without external energy input. [18] Indeed, photocatalytic CO 2 reduction has been considered to be a "kill two birds with one stone" approach for sustainable energy production and greenhouse gas reduction. [19] In contrast, thermocatalytic approachesThe solar-energy-driven photoreduction of CO 2 has recently emerged as a promising approach to directly transform CO 2 into valuable energy sources under mild conditions. As a clean-burning fuel and drop-in replacement for natural gas, CH 4 is an ideal product of CO 2 photoreduction, but the development of highly active and selective semiconductor-based photocatalysts for this important transformation remains challenging. Hence, significant efforts have been made in the search for active, selective, stable, and sustainable photocatalysts. In this review, recent applications of cutting-edge experimental and computational materials design strategies toward the discovery of novel catalysts for CO 2 photocatalytic conversion to CH 4 are systematically summarized. First, insights into effective experimental catalyst engineering strategies, including heterojunctions, defect engineering, cocatalysts, surface modification, facet engineering, and single atoms, are presented. Then, datadriven photocatalyst design spanning density functional theory (DFT) simulations, high-throughput computational screening, and machine learning (ML) is presented through a step-by-step introduction. The combination of DFT, ML, and experiments is emphasized as a powerful solution for accelerating the discovery of novel catalysts for photocatalytic reduction of CO 2 . Last, challenges and perspectives concerning the interplay between experiments and data-driven rational design strategies for the industrialization of large-scale CO 2 photoreduction technologies are described.

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“…The atom trapping method is another effective strategy to synthesize the SACs with stably anchored SAs ( Wang et al., 2018 ). Specifically, to plant SAs in the commonly used semiconductors materials, constructing surface defect sites (i.e., C-defect ( Chen et al., 2020c ; Liu et al., 2021a ), O-defect ( Cai et al., 2020 ; Wang et al., 2021e ), N-defect ( Qin et al., 2021 ; Zhang et al., 2022a ), S-defect ( Wang et al., 2020b ; Zhang et al., 2021e ), metal-defect ( Wu et al., 2021 ; Zhang et al., 2018 ), etc.) can efficiently capture the SAs.…”

Section: The Synthesis Strategies Of Sapmentioning

confidence: 99%

“…Besides affecting the photocatalysts' light-harvesting and charge transfer capability, it is demonstrated that the introduced SAs could also act as the reaction active sites and directly participate in the reaction ( Liu et al., 2021a ; Wang et al., 2021b ). Compared with general metal nanoparticle/semiconductor catalysts, the SAPs, maximizing the atomic utilization, exhibit boosted reaction active sites and consequent excellent photocatalytic performance ( Figures 8 A and 8B) ( Jiao et al., 2021 ; Wang et al., 2019e ; Zhang et al., 2022a ). It is generally considered that the surface reaction process is strongly influenced by the geometric effect and the electronic structure of the catalysts ( Gao et al., 2020a ).…”

Section: Current Research Progress On Sapsmentioning

confidence: 99%

Considering single-atom catalysts as photocatalysts from synthesis to application

2022

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Dual optimization approach to Mo single atom dispersed g-C3N4 photocatalyst: Morphology and defect evolution

Cited by 283 publications

References 79 publications

Single-atom catalysts for high-efficiency photocatalytic and photoelectrochemical water splitting: distinctive roles, unique fabrication methods and specific design strategies

Single-atom catalysts for high-efficiency photocatalytic and photoelectrochemical water splitting: distinctive roles, unique fabrication methods and specific design strategies

Emerging Strategies for CO₂ Photoreduction to CH₄: From Experimental to Data‐Driven Design

Considering single-atom catalysts as photocatalysts from synthesis to application

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Dual optimization approach to Mo single atom dispersed g-C3N4 photocatalyst: Morphology and defect evolution

Cited by 283 publications

References 79 publications

Single-atom catalysts for high-efficiency photocatalytic and photoelectrochemical water splitting: distinctive roles, unique fabrication methods and specific design strategies

Single-atom catalysts for high-efficiency photocatalytic and photoelectrochemical water splitting: distinctive roles, unique fabrication methods and specific design strategies

Emerging Strategies for CO2 Photoreduction to CH4: From Experimental to Data‐Driven Design

Considering single-atom catalysts as photocatalysts from synthesis to application

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Emerging Strategies for CO₂ Photoreduction to CH₄: From Experimental to Data‐Driven Design