journal article·2025-09-19

Density Functional Tight Binding Insights into Plasmonic Silver–Platinum Nanoparticles and Alloys for Enhanced Photocatalysis

Rameshwar L. Kumawat, George C. Schatz

ACS Applied Nano Materials· Volume 8· Issue 37
Publisher page

Abstract

Developing accurate and efficient Slater–Koster (SK) tight-binding parameter sets is essential for quantum plasmonic studies of alloyed metal nanoparticles, as conventional time-dependent density functional theory (TD-DFT) calculations are computationally prohibitive for larger clusters. In this work, we develop and validate density functional tight binding (DFTB) parameter sets for both ground-state (GS-SK) and excited-state (ES-SK) calculations to study the structural, electronic, and optical properties of silver (Ag), platinum (Pt), and Ag–Pt nanoalloys. Our investigation of the ground-state properties demonstrates that the GS-SK parameters enable DFTB to closely reproduce the electronic structures of platinum clusters with diverse sizes and geometries─showing qualitative agreement with DFT for density of states (DOS) profiles and energy levels. The ES-SK parameters accurately describe excited-state properties compared to TD-DFT reference calculations, including the broad, featureless absorption profiles of Pt that are dominated by interband transitions. Using the ES-SK parameters within a real-time TD-DFTB framework, we compute size-dependent optical absorption spectra of Ag, Pt, and Ag–Pt nanocubes containing up to 1099 atoms (size ∼ 4.18 nm). A detailed study of Ag–Pt and Pt–Ag core–shell nanoparticles shows quenching of the Ag plasmon resonance even at monolayer coverage for Ag–Pt, but not for Pt–Ag. We also show how to define submonolayer Ag-core Pt-shell cubic structures that have similar optical properties to those generated experimentally for much larger particles, which offers potential for describing plasmon-enhanced photocatalysis. Collectively, the GS-SK and ES-SK parameter sets provide an accurate, computationally efficient approach for modeling the complex optical and electronic behavior of noble-transition metal nanostructures and their alloys.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Gold and Silver Nanoparticles Synthesis and Applications · Copper-based nanomaterials and applications · Advanced Photocatalysis Techniques

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

Affiliations

Department of Chemistry

Northwestern University

References (77)

Show source-provided references
1. 10.1021/cr030063a10.1021/cr030063a ↗
2. 10.1021/jp508824w10.1021/jp508824w ↗
3. 10.1021/jp026731y10.1021/jp026731y ↗
4. 10.1021/ja993825l10.1021/ja993825l ↗
5. 10.1021/jp992179+10.1021/jp992179+ ↗
6. 10.1021/jp066539m10.1021/jp066539m ↗
7. 10.1002/andp.1908330030210.1002/andp.19083300302 ↗
8. Kunz, K. S.; Luebbers, R. J. The finite difference time domain method for electromagnetics; CRC Press, 1993; pp. 123–162.
9. 10.1364/JOSAA.11.00149110.1364/JOSAA.11.001491 ↗
10. 10.1103/PhysRevLett.52.192510.1103/PhysRevLett.52.1925 ↗
11. 10.1103/PhysRevB.57.196310.1103/PhysRevB.57.1963 ↗
12. 10.1021/nn404663410.1021/nn4046634 ↗
13. 10.1021/jp072712i10.1021/jp072712i ↗
14. 10.1021/jp802707r10.1021/jp802707r ↗
15. 10.1021/jp112217g10.1021/jp112217g ↗
16. 10.1103/PhysRevLett.52.99710.1103/PhysRevLett.52.997 ↗
17. 10.1021/jp065206m10.1021/jp065206m ↗
18. 10.1021/acs.jpcc.8b0519610.1021/acs.jpcc.8b05196 ↗
19. 10.1063/1.475243310.1063/1.4752433 ↗
20. 10.1063/1.481133110.1063/1.4811331 ↗
21. 10.1063/1.492336810.1063/1.4923368 ↗
22. 10.1039/C3CP53702A10.1039/C3CP53702A ↗
23. 10.1021/jp405769e10.1021/jp405769e ↗
24. 10.1021/jp505462m10.1021/jp505462m ↗
25. 10.1021/acs.jpcc.4c0810010.1021/acs.jpcc.4c08100 ↗
26. 10.1103/PhysRevB.58.726010.1103/PhysRevB.58.7260 ↗
27. 10.1103/PhysRevB.63.08510810.1103/PhysRevB.63.085108 ↗
28. 10.1021/ct500838h10.1021/ct500838h ↗
29. 10.1021/acs.jpcc.8b0527810.1021/acs.jpcc.8b05278 ↗
30. 10.1088/0953-8984/25/12/12530410.1088/0953-8984/25/12/125304 ↗
31. 10.1063/5.008296010.1063/5.0082960 ↗
32. 10.1021/acs.jpcc.6b0851910.1021/acs.jpcc.6b08519 ↗
33. 10.1039/C7NR04536K10.1039/C7NR04536K ↗
34. 10.1039/C7NR04904H10.1039/C7NR04904H ↗
35. 10.1039/C9NR01352K10.1039/C9NR01352K ↗
36. 10.1021/acs.jpcc.9b1087110.1021/acs.jpcc.9b10871 ↗
37. 10.1021/acs.jpcc.2c0214710.1021/acs.jpcc.2c02147 ↗
38. 10.1021/acs.jpcc.3c0000610.1021/acs.jpcc.3c00006 ↗
39. 10.1021/acs.jpcc.4c0824210.1021/acs.jpcc.4c08242 ↗
40. 10.1021/acs.jctc.5b0101910.1021/acs.jctc.5b01019 ↗
41. 10.1021/acs.jctc.7b0042310.1021/acs.jctc.7b00423 ↗
42. 10.1039/C8TC01466C10.1039/C8TC01466C ↗
43. 10.1103/PhysRevB.53.444310.1103/PhysRevB.53.4443 ↗
44. 10.1103/PhysRevB.52.1149210.1103/PhysRevB.52.11492 ↗
45. 10.1021/ct400495910.1021/ct4004959 ↗
46. 10.1007/s00214-016-2001-y10.1007/s00214-016-2001-y ↗
47. 10.1021/acs.jpcc.0c0097910.1021/acs.jpcc.0c00979 ↗
48. 10.1016/j.cplett.2025.14194410.1016/j.cplett.2025.141944 ↗
49. 10.1038/nnano.2017.13110.1038/nnano.2017.131 ↗
50. 10.1103/PhysRev.140.A113310.1103/PhysRev.140.A1133 ↗
51. 10.1002/(SICI)1097-461X(1996)58:2<185::AID-QUA7>3.0.CO;2-U10.1002/(SICI)1097-461X(1996)58:2<185::AID-QUA7>3.0.CO;2-U ↗
52. 10.1021/jp071338j10.1021/jp071338j ↗
53. 10.1098/rsta.2012.048310.1098/rsta.2012.0483 ↗
54. 10.1016/S1380-7323(96)80093-810.1016/S1380-7323(96)80093-8 ↗
55. 10.1016/j.theochem.2009.04.03410.1016/j.theochem.2009.04.034 ↗
56. 10.1021/ct400123t10.1021/ct400123t ↗
57. 10.1021/acs.jctc.9b0121710.1021/acs.jctc.9b01217 ↗
58. 10.1103/PhysRevB.54.448410.1103/PhysRevB.54.4484 ↗
59. Breuer H.-P. · 2002
60. 10.1140/epjd/e2005-00079-710.1140/epjd/e2005-00079-7 ↗
61. 10.1039/b926051j10.1039/b926051j ↗
62. 10.1039/b801115j10.1039/b801115j ↗
63. Kumawat, R. dftb-slater-koster-parameters-for-mono-bimetallic-AgPt-clusters: Latest, v1.0; 2025, Zenodo.
64. 10.1016/0927-0256(96)00008-010.1016/0927-0256(96)00008-0 ↗
65. 10.1103/PhysRevB.54.1116910.1103/PhysRevB.54.11169 ↗
66. 10.1103/PhysRevB.59.175810.1103/PhysRevB.59.1758 ↗
67. 10.1103/PhysRevLett.77.386510.1103/PhysRevLett.77.3865 ↗
68. 10.1063/5.018268510.1063/5.0182685 ↗
69. 10.1063/1.514319010.1063/1.5143190 ↗
70. 10.1021/acs.jpca.5c0114610.1021/acs.jpca.5c01146 ↗
71. 10.1039/C7CP02240A10.1039/C7CP02240A ↗
72. 10.1021/jp309957y10.1021/jp309957y ↗
73. 10.1103/PhysRevB.84.16544310.1103/PhysRevB.84.165443 ↗
74. 10.1021/acsnano.5b0575510.1021/acsnano.5b05755 ↗
75. 10.1021/jp809873610.1021/jp8098736 ↗
76. 10.1021/jp209466k10.1021/jp209466k ↗
77. 10.1021/la502588g10.1021/la502588g ↗