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      Theoretical insights into the electroreduction of nitrate to ammonia on graphene-based single-atom catalysts

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          Abstract

          The catalytic mechanism, activity trend, and activity origin of electroreduction of nitrate to ammonia on graphene-based single-atom catalysts was systematically studied and unrevealed.

          Abstract

          Electrocatalytic reduction of harmful nitrate (NO 3 ) to valuable ammonia (eNO 3RR) is critical and attractive for both environmental remediation and energy transformation. A single atom catalyst (SAC) based on graphene represents one of the most promising eNO 3RR catalysts. However, the underlying catalytic mechanism and the intrinsic factors dictating the catalytic activity trend remain unclear. Herein, using first-principles calculations, eNO 3RR on TMN 3 and TMN 4 (TM = Ti–Ni) doped graphene was thoroughly investigated. Our results reveal that FeN 4 doped graphene exhibits excellent eNO 3RR performance with a low limiting potential of −0.38 V, agreeing with the experimental finding, which can be ascribed to the effective adsorption and activation of NO 3 via the charge “acceptance–donation” mechanism and its moderate binding due to the occupation of the d–p antibonding orbital. In particular, we found that eNO 3RR activities are well correlated with the intrinsic properties of TM centers and their local environments. With the established activity descriptor, several other graphene-based SACs were efficiently screened out with excellent eNO 3RR performance. Our studies could not only provide an atomic insight into the catalytic mechanism and activity origin of eNO 3RR on graphene-based SACs, but also open an avenue for the rational design of SACs for eNO 3RR towards ammonia by regulating the metal center and its local coordination environment.

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              The method of dispersion correction as an add-on to standard Kohn-Sham density functional theory (DFT-D) has been refined regarding higher accuracy, broader range of applicability, and less empiricism. The main new ingredients are atom-pairwise specific dispersion coefficients and cutoff radii that are both computed from first principles. The coefficients for new eighth-order dispersion terms are computed using established recursion relations. System (geometry) dependent information is used for the first time in a DFT-D type approach by employing the new concept of fractional coordination numbers (CN). They are used to interpolate between dispersion coefficients of atoms in different chemical environments. The method only requires adjustment of two global parameters for each density functional, is asymptotically exact for a gas of weakly interacting neutral atoms, and easily allows the computation of atomic forces. Three-body nonadditivity terms are considered. The method has been assessed on standard benchmark sets for inter- and intramolecular noncovalent interactions with a particular emphasis on a consistent description of light and heavy element systems. The mean absolute deviations for the S22 benchmark set of noncovalent interactions for 11 standard density functionals decrease by 15%-40% compared to the previous (already accurate) DFT-D version. Spectacular improvements are found for a tripeptide-folding model and all tested metallic systems. The rectification of the long-range behavior and the use of more accurate C(6) coefficients also lead to a much better description of large (infinite) systems as shown for graphene sheets and the adsorption of benzene on an Ag(111) surface. For graphene it is found that the inclusion of three-body terms substantially (by about 10%) weakens the interlayer binding. We propose the revised DFT-D method as a general tool for the computation of the dispersion energy in molecules and solids of any kind with DFT and related (low-cost) electronic structure methods for large systems.
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                Author and article information

                Contributors
                Journal
                NANOHL
                Nanoscale
                Nanoscale
                Royal Society of Chemistry (RSC)
                2040-3364
                2040-3372
                August 04 2022
                2022
                : 14
                : 30
                : 10862-10872
                Affiliations
                [1 ]Key Laboratory for Special Functional Materials of Ministry of Education, and School of Materials Science and Engineering, Henan University, Kaifeng 475004, China
                [2 ]Joint Center for Theoretical Physics, and Center for Topological Functional Materials, Henan University, Kaifeng 475004, China
                [3 ]Henan Key Laboratory of Nanocomposites and Applications, Institute of Nanostructured Functional Materials, Huanghe Science and Technology College, Zhengzhou 450006, China
                [4 ]International Laboratory for Quantum Functional Materials of Henan, and School of Physics, Zhengzhou University, Zhengzhou 450001, China
                Article
                10.1039/D2NR02813A
                2f8ea433-77ce-42e9-9202-08d12cc302c0
                © 2022

                http://rsc.li/journals-terms-of-use

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