journal article·2024-10Open access

Catalytic Potential of Supported Superatoms

Mehmet Emin Kilic, Puru Jena

Small· Volume 20· Issue 40

Abstract

Abstract The importance of catalysts in industrial products is a driving factor in the search of efficient and cost‐effective catalysts, creating considerable interest in the past decade in single‐atom catalysis. One of the first requirements of a good catalyst is that it should bind to the molecules with energies intermediate between physisorption and chemisorption while simultaneously activating them. Herein, it is shown that superatoms, which are atomic clusters with fixed size and composition, can meet this challenge even better than the atoms whose chemistry they mimic. The reactions of molecules such as H 2 , O 2 , N 2 , CO, NO, and CO 2 with an atom (Li) and its corresponding superatom (Li 3 O) are confirmed through study. As these clusters need to be supported on a substrate for practical applications, the study focuses on the reaction of CO 2 with Li and Li 3 O supported on graphene, Au(111), and Cu(111) substrates. Using density functional theory, it is shown that the Li 3 O superatom can activate CO 2 far greater than the Li atom – stretching the CO bond from 1.16 Å to as large as 1.30 Å and bending the O─C─O bond angle from 180° to as low as 120°. Equally interesting, the results are not very sensitive to the substrate.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Catalytic Processes in Materials Science · Advanced Chemical Physics Studies · Surface Chemistry and Catalysis

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Physics Virginia Commonwealth University Richmond VA 23284‐2000 USA

Funding

National Energy Research Scientific Computing Center · Basic Energy Sciences

References (34)

Show source-provided references
1. 10.1038/nchem.109510.1038/nchem.1095 ↗
2. 10.1038/s41570-018-0010-110.1038/s41570-018-0010-1 ↗
3. 10.1002/smll.20210609110.1002/smll.202106091 ↗
4. 10.1002/adma.20231143410.1002/adma.202311434 ↗
5. 10.1038/s41467-023-42756-810.1038/s41467-023-42756-8 ↗
6. 10.1002/smll.20230925110.1002/smll.202309251 ↗
7. 10.1002/smll.20230344610.1002/smll.202303446 ↗
8. 10.1103/PhysRevLett.69.166410.1103/PhysRevLett.69.1664 ↗
9. 10.1021/jz400156t10.1021/jz400156t ↗
10. 10.1021/acs.chemrev.7b0052410.1021/acs.chemrev.7b00524 ↗
11. 10.1126/science.109390210.1126/science.1093902 ↗
12. 10.1126/science.110582010.1126/science.1105820 ↗
13. 10.1002/cphc.20140247210.1002/cphc.201402472 ↗
14. 10.1002/978111961957410.1002/9781119619574 ↗
15. 10.1016/0009-2614(82)80272-810.1016/0009-2614(82)80272-8 ↗
16. 10.1021/jp003745010.1021/jp0037450 ↗
17. 10.1103/PhysRevA.75.05250310.1103/PhysRevA.75.052503 ↗
18. 10.1002/chem.20190146010.1002/chem.201901460 ↗
19. 10.1002/9781119619574.ch310.1002/9781119619574.ch3 ↗
20. 10.1021/acs.jpca.6b0595810.1021/acs.jpca.6b05958 ↗
21. 10.1021/j100085a01110.1021/j100085a011 ↗
22. R. D.Johnson http://srdata.nist.gov/cccbdb2006.
23. M. J.Frisch G. W.Trucks H. B.Schlegel G. E.Scuseria M. A.Robb J. R.Cheeseman G.Scalmani V.Barone G. A.Petersson H.Nakatsuji X.Li M.Caricato A. V.Marenich J.Bloino B. G.Janesko R.Gomperts B.Mennucci H. P.Hratchian J. V.Ortiz A. F.Izmaylov J. L.Sonnenberg D.Williams‐Young F.Ding F.Lipparini F.Egidi J.Goings B.Peng A.Petrone T.Henderson D.Ranasingheet al. Gaussian 16 Revision C.01 2016.
24. 10.1063/1.46491310.1063/1.464913 ↗
25. 10.1103/PhysRevB.37.78510.1103/PhysRevB.37.785 ↗
26. 10.1103/PhysRevB.59.175810.1103/PhysRevB.59.1758 ↗
27. 10.1016/0927-0256(96)00008-010.1016/0927-0256(96)00008-0 ↗
28. 10.1103/PhysRevB.50.1795310.1103/PhysRevB.50.17953 ↗
29. 10.1103/PhysRevLett.77.386510.1103/PhysRevLett.77.3865 ↗
30. 10.1063/1.338234410.1063/1.3382344 ↗
31. 10.1021/jp202489s10.1021/jp202489s ↗
32. 10.1002/jcc.2430010.1002/jcc.24300 ↗
33. 10.1021/jp047349j10.1021/jp047349j ↗
34. 10.1016/j.commatsci.2005.04.01010.1016/j.commatsci.2005.04.010 ↗