01941nas a2200241 4500008004100000022001400041245011400055210006900169260005700238300000900295490000800304520105600312653002401368653003601392653001101428653002401439653002101463100002101484700002201505700002601527700001601553856013001569 2014 eng d a1432-881X00aComputational investigation on the catalytic activity of Rh-6 and Rh4Ru2 clusters towards methanol activation0 aComputational investigation on the catalytic activity of Rh6 and a233 SPRING ST, NEW YORK, NY 10013 USAbSPRINGERcDEC a15970 v1343 a

Catalysis of molecular activation of small molecules through scission of strong chemical bonds is one of the major challenges faced by chemists. More specifically, activation of the strong C-H and O-H bonds of various alcohols, especially methanol, is one of the various important intermediate steps of key organic reactions. Our present work explores a suitable metal cluster catalyst towards methanol dissociation. In particular, we have examined the effect of ruthenium doping (Rh:Ru = 2:1) on the catalytic activity of Rh-6 cluster towards methanol dissociation. Density functional theory-based calculations illustrate two competitive pathways for methanol dissociation, which are via O-H and C-H bond breaking. Both the pathways are found to be energetically favourable in the presence of bimetallic and mono-metallic clusters. Importantly, energy barrier for O-H bond dissociation reduces considerably in doped cluster as compared to pure Rh-6 cluster and is smaller than the values reported for a number of other small metallic clusters.

10aBimetallic Clusters10aDensity Functional Theory (DFT)10aDoping10aMethanol Activation10aRhodium Clusters1 aGhatak, Kamalika1 aSengupta, Turbasu1 aKrishnamurty, Sailaja1 aPal, Sourav uhttps://library.ncl.res.in/content/computational-investigation-catalytic-activity-rh-6-and-rh4ru2-clusters-towards-methanol-002281nas a2200241 4500008004100000022001400041245009800055210006900153260000800222300001100230490000800241520142300249653001901672653003601691653003101727653002401758653002301782653002301805100002901828700003001857700002601887856012601913 2023 eng d a0169-433200aExpounding lemonal terpenoids as corrosion inhibitors for copper using DFT based calculations0 aExpounding lemonal terpenoids as corrosion inhibitors for copper cMAR a1560660 v6143 a

The most important bottleneck in identifying an innovative and yet viable corrosion inhibitor for copper surfaces is discerning the chemical interactions at the interface of adsorbate and adsorbent. The present work, primarily, discerns the interface chemistry of green corrosion inhibitors, viz., lemonal terpenoids, with the copper surfaces for the first time. The interface chemistry is evaluated for distinct facets of copper, modelled by periodic surfaces to finite sized aggregates, with two stereoisomers viz., citral and neral through density functional calculations. The adsorption/ interaction properties between the surface and the corrosion inhibiting molecule are analysed through the electronic properties such as density of states, charge density difference plots and Bader charges where in distinct bonding mechanisms are identified as a function of varying facets. Apart from the adsorption properties, molecular packing properties are of paramount importance towards the design of an efficient corrosion inhibitor for a surface. Hence, we also analyse the intermolecular stacking energies between the inhibitors when packed among themselves in vacuum and when adhered on to metal surfaces. The studies bring forth an understanding that lemon terpenoids are highly potential corrosion inhibitors for copper surfaces, particularly, for Cu (110) surfaces both in neutral and protonated form.

10aCopper surface10aDensity Functional Theory (DFT)10aGreen corrosion inhibitors10aInterface chemistry10aLemonal terpenoids10aMolecular stacking1 aSamal, Pragnya, Paramita1 aSingh, Chandrodai, Pratap1 aKrishnamurty, Sailaja uhttps://library.ncl.res.in/content/expounding-lemonal-terpenoids-corrosion-inhibitors-copper-using-dft-based-calculations02052nas 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

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.

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-nitrogen02302nas a2200229 4500008004100000022001400041245012500055210006900180260000800249490000700257520147900264653001901743653002201762653002001784653003601804653002301840100001701863700002601880700002401906700001701930856012501947 2024 eng d a1439-423500aSize and morphology dependent activity of Cu clusters for CO2 activation and reduction: a first principles investigation0 aSize and morphology dependent activity of Cu clusters for CO2 ac cDEC0 v253 a

Various Cu-based materials in diverse forms have been investigated as efficient catalysts for electrochemical reduction of CO2; however, they suffer from issues such as higher over potential and poor selectivity. The activity and selectivity of CO2 electro reduction have been shown to change significantly when the surface morphology (steps, kinks, and edges) of these catalysts is altered. In light of this, size and morphology dependent activity of selected copper clusters, Cun (n=2-20) have been evaluated for the activation and reduction of CO2 molecule. The phase-space of these copper clusters is rich in conformations of distinct morphologies starting from planar, 2D geometries to prolate-shaped geometries and also high-symmetry structures. The binding efficiency and the activation of CO2 are highest for medium sized clusters (n=9-17) with prolate-morphologies as compared to small or larger sized CunCO(2) clusters that are existing mainly as planar (triangular, tetragonal etc.) or highly-symmetric geometries (icosahedron, capped-icosahedron etc.), respectively. The best performing (prolate-shaped) CunCO2 conformations are quite fluxional and also they are thermally stable, as demonstrated by the molecular dynamics simulations. Furthermore, on these CunCO(2) conformations, the step-by-step hydrogenation pathways of CO2 to produce value-added products like methanol, formic acid, and methane are exceptionally favorable and energy-efficient.

10aCO2 activation10aCO2 hydrogenation10aCopper clusters10aDensity Functional Theory (DFT)10amolecular dynamics1 aAmin, Seerat1 aKrishnamurty, Sailaja1 aDar, Manzoor, Ahmad1 aJoshi, Krati uhttps://library.ncl.res.in/content/size-and-morphology-dependent-activity-cu-clusters-co2-activation-and-reduction-first02159nas a2200265 4500008004100000022001400041245011500055210006900170260000900239300001400248490000700262520120400269653003601473653004801509653002701557653002201584653002101606653002001627100002201647700002301669700002601692700002101718700002501739856012901764 2024 eng d a1944-824400aSurface electronic properties-driven electrocatalytic nitrogen reduction on metal-conjugated porphyrin 2D-MOFs0 aSurface electronic propertiesdriven electrocatalytic nitrogen re cFEB  a8707-87160 v163 a

Two-dimensional (2D) metal organic framework (MOF) or metalloporphyrin nanosheets with a stable metal-N-4 complex unit present the metal as a single-atom catalyst dispersed in the 2D porphyrin framework. First-principles calculations on the 3d-transition metals in M-TCPP are investigated in this study for their surface-dependent electronic properties including work function and d-band center. Crystal orbital Hamiltonian population (-pCOHP) analysis highlights a higher contribution of the bonding state in the M-N bond and antibonding state in the N-N bond to be essential for N-N bond activation. A linear relationship between Delta G(max) and surface electronic properties, N-N bond strength, and Bader charge has been found to influence the rate-determining potential for nitrogen reduction reaction (NRR) in M-TCPP MOFs. 2D Ti-TCPP MOF, with a kinetic energy barrier of 1.43 eV in the final protonation step of enzymatic NRR, shows exclusive NRR selectivity over competing hydrogen reduction (HER) and nitrogenous compounds (NO and NO2). Thus, Ti-TCPP MOF with an NRR limiting potential of -0.35 V in water solvent is proposed as an attractive candidate for electrocatalytic NRR.

10aDensity Functional Theory (DFT)10aelectrocatalytic nitrogen reductionreaction10akinetic energy barrier10alimitingpotential10aMetalloporphyrin10aNRR selectivity1 aMaibam, Ashakiran1 aOrhan, Ibrahim, B.1 aKrishnamurty, Sailaja1 aRusso, Salvy, P.1 aBabaRao, Ravichandar uhttps://library.ncl.res.in/content/surface-electronic-properties-driven-electrocatalytic-nitrogen-reduction-metal-conjugated01994nas a2200229 4500008004100000022001400041245010000055210006900155260000800224300001100232490000800243520116600251653001701417653003601434653003201470653004401502653002401546100002501570700001801595700002601613856012501639 2025 eng d a0016-236100aMimicking characteristics of cast iron for enhanced electrocatalytic dehydrogenation of methane0 aMimicking characteristics of cast iron for enhanced electrocatal cFEB a1336740 v3813 a

Enhancing the efficiency of methane dehydrogenation through chemical modification of electrocatalytic iron surfaces with impurities that resemble cast iron properties is demonstrated computationally using Density Functional Theory methodologies. Investigating methane dehydrogenation on thermally stable Fe surfaces with discrete planes and anchoring impurities such as Al, C, and Si minimized reduction barriers. Electrochemical treatment of methane on these robust surfaces yields clean hydrogen and carbon-based compounds, such as carbon nanomaterials and carbon black. As for the most efficient active sites for enhanced methane dehydrogenation, the active plane 100 with 5.5 % C impurities and 0.51 eV reduction barrier is determined to be the most dependable, followed by the active plane 110 with 5.5 % Si impurities and the lower 0.98 eV reduction barrier. Utilizing CI-NEB (Nudged Elastic Band), the dissociation barrier investigation established the electrolytic catalysts' performance. This work paves the way for experimentalists and demonstrates the economic viability of Fe-based catalysts for the Catalytic Dehydrogenation of Methane.

10acarbon black10aDensity Functional Theory (DFT)10aDry methane reforming (DMR)10aElectrochemical methane dehydrogenation10aFe surface catalyst1 aVerma, Tushar, Singh1 aDevi, Nandini1 aKrishnamurty, Sailaja uhttps://library.ncl.res.in/content/mimicking-characteristics-cast-iron-enhanced-electrocatalytic-dehydrogenation-methane