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| DOI | 10.1039/D4SC03630A | ||||
| Año | 2024 | ||||
| Tipo | artículo de investigación |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
Photocatalysis appears as one of the most promising avenues to shift towards sustainable sources of energy, owing to its ability to transform solar light into chemical energy, e.g. production of chemical fuels via oxygen evolution (OER) and CO2 reduction (CO2RR) reactions. Ti metal-organic frameworks (MOFs) and graphitic carbon nitride derivatives, i.e. poly-heptazine imides (PHI) are appealing CO2RR and OER photo-catalysts respectively. Engineering of an innovative Z-scheme heterojunction by assembling a Ti-MOF and PHI offers an unparalleled opportunity to mimick an artificial photosynthesis device for dual CO2RR/OER catalysis. Along this path, understanding of the photophysical processes controlling the MOF/PHI interfacial charge recombination is vital to fine tune the electronic and chemical features of the two components and devise the optimum heterojunction. To address this challenge, we developed a modelling approach integrating force field Molecular Dynamics (MD), Time-Dependent Density Functional Theory (TD-DFT) and Non-Equilibrium Green Function DFT (NEGF-DFT) tools with the aim of systematically exploring the structuring, the opto-electronic and transport properties of MOF/PHI heterojunctions. We revealed that the nature of the MOF/PHI interactions, the interfacial charge transfer directionality and the absorption energy windows of the resulting heterojunctions can be fine tuned by incorporating Cu species in the MOF and/or doping PHI with mono- or divalent cations. Interestingly, we demonstrated that the interfacial charge transfer can be further boosted by engineering MOF/PHI device junctions and application of negative bias. Overall, our generalizable computational methodology unravelled that the performance of CO2RR/OER photoreactors can be optimized by chemical and electronic tuning of the components but also by device design based on reliable structure-property rules, paving the way towards practical exploitation.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | Diez-Cabanes, Valentin | - |
Univ Montpellier - Francia
Institut Charles Gerhardt Montpellier - Francia |
| 2 | Granados-Tavera, Kevin | Hombre |
Univ Montpellier - Francia
Universidad de Santiago de Chile - Chile Institut Charles Gerhardt Montpellier - Francia |
| 3 | Shere, Inderdip | - |
Univ Montpellier - Francia
Institut Charles Gerhardt Montpellier - Francia |
| 4 | CARDENAS-JIRON, GLORIA INES | Mujer |
Universidad de Santiago de Chile - Chile
|
| 5 | Maurin, Guillaume | - |
Univ Montpellier - Francia
Institut Charles Gerhardt Montpellier - Francia |
| Fuente |
|---|
| Universidad de Chile |
| Fondo Nacional de Desarrollo Científico y Tecnológico |
| NLHPC |
| GENCI-CINES |
| Agencia Nacional de Investigación y Desarrollo |
| Departamento Ingeniería Hidráulica y Ambiental, Pontificia Universidad Católica de Chile |
| ANID/CHILE under FONDECYT |
| METHASOL |
| VIPO (USACH) and ANID/Chile by Program/Doctorado Becas Nacionales |
| VIPO |
| METHASOL H2020-LC-SC3-RES-3-2020 |
| Agradecimiento |
|---|
| The authors gratefully acknowledge the financial support provided by the METHASOL H2020-LC-SC3-RES-3-2020 (GA No. 101022649) and MOF2H2 (GA No. 101084131) projects. Authors also thank the financial support of ANID/CHILE under FONDECYT projects 1221072 (G. C.-J.). K. G.-T. is grateful for the support of VIPO (USACH) and ANID/Chile by Program/Doctorado Becas Nacionales 2021/21210404. The computational work was performed using HPC resources from GENCI-CINES (Grant A0160907613) and from the NLHPC (ECM-02) supercomputing infrastructure of the Universidad de Chile. |
| The authors gratefully acknowledge the financial support provided by the METHASOL H2020-LC-SC3-RES-3-2020 (GA No. 101022649) and MOF2H2 (GA No. 101084131) projects. Authors also thank the financial support of ANID/CHILE under FONDECYT projects 1221072 (G. C.-J.). K. G.-T. is grateful for the support of VIPO (USACH) and ANID/Chile by Program/Doctorado Becas Nacionales 2021/21210404. The computational work was performed using HPC resources from GENCI-CINES (Grant A0160907613) and from the NLHPC (ECM-02) supercomputing infrastructure of the Universidad de Chile. |