The DOI matches its Crossref record; 89 of the 89 references it cites were found in a registry or an index.
Insights into photocatalytic CO2 reduction on C3N4: Strategy of simultaneous B, K co-doping and enhancement by N vacancies
Abstract
Abstract C3N4 is a promising non-metal photocatalyst for CO2 conversion to value-added products, while it shows unsatisfactory performance due to the low CO2 adsorption ability and poor utilization of the photo-excited charge carriers. The deficiency of electron donation sites and unoptimized electronic structure are the primary reasons behind. To address the challenges, herein, we propose a new synthesis strategy of rational co-doping of B, K elements in line with controllable introduction of Nv into C3N4 within one step during synthesis. The synergistic effects of the modification factors resulted in an enhanced C3N4 catalyst with an electron-rich surface and tailored electronic structure, which significantly facilitated the CO2 adsorption and activation in sequence. Moreover, the drawback of single element doping is largely avoided due to the synergistic effects provided by this rational multiple modification strategy. A 5-h photocatalytic production of 5.93 μmol g−1 CH4 and 3.16 μmol g−1 CO respectively were achieved using CO2 and H2O as feedstocks without the presence of any organic hole scavenger, which are 161% and 527% of CH4 and CO produced by pristine C3N4.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Generalized Gradient Approximation Made Simple
Perdew, J. P., Burke, K., & Ernzerhof, M. (1996) · Physical Review Letters · doi:10.1103/physrevlett.77.3865 · Cited by 215,824
Projector augmented-wave method
Blöchl, P. E. (1994) · Physical Review B · doi:10.1103/physrevb.50.17953 · Cited by 92,732
From ultrasoft pseudopotentials to the projector augmented-wave method
Kresse, G., & Joubert, D. (1999) · Physical Review B · doi:10.1103/physrevb.59.1758 · Cited by 85,307
Grimme, S., Antony, J., Ehrlich, S., & Krieg, H. (2010) · The Journal of Chemical Physics · doi:10.1063/1.3382344 · Cited by 59,686
QUANTUM ESPRESSO: a modular and open-source software project for quantum simulations of materials
Giannozzi, P., Baroni, S., Bonini, N., Calandra, M., Car, R., Cavazzoni, C., Ceresoli, D., Chiarotti, G. L., Cococcioni, M., Dabo, I., et al. (2009) · Journal of Physics: Condensed Matter · doi:10.1088/0953-8984/21/39/395502 · Cited by 29,281
VESTA 3 for three-dimensional visualization of crystal, volumetric and morphology data
Momma, K., & Izumi, F. (2011) · Journal of Applied Crystallography · doi:10.1107/s0021889811038970 · Cited by 26,054
Hybrid functionals based on a screened Coulomb potential
Heyd, J., Scuseria, G. E., & Ernzerhof, M. (2003) · The Journal of Chemical Physics · doi:10.1063/1.1564060 · Cited by 19,629
A metal-free polymeric photocatalyst for hydrogen production from water under visible light
Wang, X., Maeda, K., Thomas, A., Takanabe, K., Xin, G., Carlsson, J. M., Domen, K., & Antonietti, M. (2009) · Nature Materials · doi:10.1038/nmat2317 · Cited by 12,532
A fast and robust algorithm for Bader decomposition of charge density
Henkelman, G., Arnaldsson, A., & Jónsson, H. (2006) · Computational Materials Science · doi:10.1016/j.commatsci.2005.04.010 · Cited by 10,723
Advanced capabilities for materials modelling with Q uantum ESPRESSO
Giannozzi, P., Andreussi, O., Brumme, T., Bunau, O., Buongiorno Nardelli, M., Calandra, M., Car, R., Cavazzoni, C., Ceresoli, D., Cococcioni, M., et al. (2017) · Journal of Physics: Condensed Matter · doi:10.1088/1361-648x/aa8f79 · Cited by 8,361
Cited by
Kovačič, Ž., Likozar, B., & Huš, M. (2020) · ACS Catalysis · doi:10.1021/acscatal.0c02557 · Cited by 474
Metadata
- Authors
- Wang, K., Fu, J., & Zheng, Y.
- Venue
- Applied Catalysis B: Environmental
- Publisher
- Elsevier BV
- Published
- 2019-10
- Volume
- 254
- Pages
- 270-282
- ISSN
- 0926-3373 (ISSN-L)
- OpenAlex
- W2943110028
- Cited by
- 253
- References
- 89
- FWCI
- 6.13
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Insights into photocatalytic CO2 reduction on C3N4: Strategy of simultaneous B, K co-doping and enhancement by N vacancies. https://app.cochat.ai/papers/10.1016/j.apcatb.2019.05.002
- The paper
- Wang, K., Fu, J., & Zheng, Y. (2019). Insights into photocatalytic CO2 reduction on C3N4: Strategy of simultaneous B, K co-doping and enhancement by N vacancies. Applied Catalysis B: Environmental. https://doi.org/10.1016/j.apcatb.2019.05.002
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.