02052nas a2200265   4500008004100000022001400041245015000055210006900205260000900274300001400283490000700297520102600304653002401330653003601354653005501390653003801445653003001483653002001513100002501533700002501558700002401583700002701607700002601634856012601660       2024                        eng d  a0360-319900aComputational identification of most potent atom pair catalysts for electrocatalytic nitrogen reduction reaction over hydrogen evolution reaction0 aComputational identification of most potent atom pair catalysts   cMAR   a1345-13580 v583 a<p>
	Robust electrocatalytic atom pair compositions (APCs) where Nitrogen Reduction Reaction (NRR) is more enhanced over competing Hydrogen Evolution Reaction (HER) is searched for using computational studies based on Density Functional Theory based methods. Atomic pairs are anchored on mechanically and thermally stable graphene surfaces. A wide range of transition metal based atom pair compositions from 3d, 4d, and 5d groups are systematically investigated for reduction of dinitrogen molecule with lower reduction barrier as compared to HER. APR compositions of Ni-Rh with an overall limiting potential of -0.22 V, Fe-W with an overall limiting potential of -0.26 V and Co-Pt with an overall limiting potential of -0.28 V are identified as the most potent atomic pairs for enhanced nitrogen reduction reaction over the HER. Finally, the performance of most potent composition, viz., Ni-Rh is validated to be consistent with respect to their thermodynamic stability and performance within the solvent effects.</p>
10aAtom pair catalysts10aDensity Functional Theory (DFT)10aElectrochemical nitrogen reduction reaction (eNRR)10ahydrogen evolution reaction (HER)10aIR stretching frequencies10aN-N bond length1 aVerma, Tushar, Singh1 aDar, Afshana, Hassan1 aDar, Manzoor, Ahmad1 aSelvaraj, Kaliaperumal1 aKrishnamurty, Sailaja  uhttps://library.ncl.res.in/content/computational-identification-most-potent-atom-pair-catalysts-electrocatalytic-nitrogen