journal article·2024-03-22

Synthesis of Ultrathin Alloy (Mo, V)-Tungsten-Oxide Nanowires: Implications for Electrochromic and Supercapacitor Applications

Noa Afik, Sandhiya Murugesan, Karam Shreteh, Helena Fridman, Yara Hijaze, Michael Volokh, Taleb Mokari

ACS Applied Nano Materials· Volume 7· Issue 6
Publisher page

Abstract

Doped and alloyed transition metal-oxides (TMOs) attract vast attention owing to their tunable electronic properties (e.g., conductivity, band gap, and optical absorption), making them appealing for many (photo)electronic, chromic, and green energy applications. Dual-functional materials combining electrochromic (EC) and energy storage (e.g., supercapacitor, SC) applications are of interest as they can store energy while shading the light transmission through a window or give off a visual signal of their current energy storage state by a color change. Pure tungsten-oxides exhibit distinctive EC properties but attain low energy density compared to other TMOs (e.g., MoO 3 and V 2 O 5 ). The coloration efficiency and energy density can be enhanced by controlling the morphology, size, and composition of the nanoscale TMOs that constitute the active EC film. Thus far, most EC-SC works showed a trade-off between increased areal capacitance and a decrease in the coloration efficiency or transmittance; the improved EC-SC properties for doped or alloyed metal-oxides were related mostly to the small grain size or to structural distortion caused by the added cation, exhibiting more active sites. Herein, we demonstrate a straightforward and facile synthesis of crystalline Mo/V-alloyed tungsten-oxide ultrathin nanowires (uNWs). We investigated the growth mechanism and succeeded in preserving the crystallinity up to 25% (atomic) alloying. The additional properties (compared to unmodified tungsten-oxide) of the alloyed uNWs, such as absorbance peaks, lead to improved specific capacitance while preserving the high coloration efficiency of uNW W–O, and in the case of W–Mo–O, a better coloration efficiency is measured.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Transition Metal Oxide Nanomaterials · Gas Sensing Nanomaterials and Sensors · Advanced Memory and Neural Computing

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

References (70)

Show source-provided references
1. 10.1002/asia.20150031910.1002/asia.201500319 ↗
2. 10.1016/j.ccr.2022.21486410.1016/j.ccr.2022.214864 ↗
3. 10.1021/acsbiomaterials.9b0179110.1021/acsbiomaterials.9b01791 ↗
4. 10.1016/j.pmatsci.2019.10057410.1016/j.pmatsci.2019.100574 ↗
5. 10.1016/j.solmat.2006.01.00110.1016/j.solmat.2006.01.001 ↗
6. 10.1016/j.electacta.2019.13550410.1016/j.electacta.2019.135504 ↗
7. 10.1002/adfm.20120100810.1002/adfm.201201008 ↗
8. 10.1016/j.nanoen.2018.02.04310.1016/j.nanoen.2018.02.043 ↗
9. 10.1002/aenm.20190206610.1002/aenm.201902066 ↗
10. 10.1021/acsaem.9b0239210.1021/acsaem.9b02392 ↗
11. 10.1002/anie.20140736510.1002/anie.201407365 ↗
12. 10.1002/admt.20170004710.1002/admt.201700047 ↗
13. 10.1016/j.electacta.2022.14034010.1016/j.electacta.2022.140340 ↗
14. 10.1021/nl500444810.1021/nl5004448 ↗
15. 10.1039/c4tc00093e10.1039/c4tc00093e ↗
16. 10.1038/s41598-017-13341-z10.1038/s41598-017-13341-z ↗
17. 10.1002/1521-4095(200106)13:11<783::AID-ADMA783>3.0.CO;2-D10.1002/1521-4095(200106)13:11<783::AID-ADMA783>3.0.CO;2-D ↗
18. 10.1146/annurev-chembioeng-080615-03464710.1146/annurev-chembioeng-080615-034647 ↗
19. 10.1016/j.jsamd.2017.08.00510.1016/j.jsamd.2017.08.005 ↗
20. 10.1088/0022-3727/41/3/03530210.1088/0022-3727/41/3/035302 ↗
21. 10.1021/acsaem.8b0038610.1021/acsaem.8b00386 ↗
22. 10.1039/C5TC02802G10.1039/C5TC02802G ↗
23. 10.1149/1.156753310.1149/1.1567533 ↗
24. 10.1016/j.jallcom.2020.15588210.1016/j.jallcom.2020.155882 ↗
25. 10.1016/j.commatsci.2021.11032410.1016/j.commatsci.2021.110324 ↗
26. 10.1021/jp304216z10.1021/jp304216z ↗
27. 10.1021/cm302015z10.1021/cm302015z ↗
28. 10.1016/j.jssc.2009.09.02510.1016/j.jssc.2009.09.025 ↗
29. 10.1002/asia.20200082210.1002/asia.202000822 ↗
30. 10.1002/adfm.20160173210.1002/adfm.201601732 ↗
31. 10.1039/c3ee42101e10.1039/c3ee42101e ↗
32. 10.1002/adma.20180706510.1002/adma.201807065 ↗
33. 10.1039/C7TC02456H10.1039/C7TC02456H ↗
34. 10.1016/j.apsusc.2018.08.04510.1016/j.apsusc.2018.08.045 ↗
35. 10.1038/ncomms840210.1038/ncomms8402 ↗
36. 10.1039/D3RA04795D10.1039/D3RA04795D ↗
37. 10.1021/acs.chemmater.0c0268510.1021/acs.chemmater.0c02685 ↗
38. 10.1002/chem.20060031310.1002/chem.200600313 ↗
39. 10.1021/ar600035e10.1021/ar600035e ↗
40. 10.1016/j.jcis.2018.01.03010.1016/j.jcis.2018.01.030 ↗
41. 10.1021/acsenergylett.8b0092510.1021/acsenergylett.8b00925 ↗
42. 10.1021/ja026143y10.1021/ja026143y ↗
43. 10.1039/D1MA00418B10.1039/D1MA00418B ↗
44. 10.1002/anie.20110768110.1002/anie.201107681 ↗
45. 10.1007/s12274-020-2967-610.1007/s12274-020-2967-6 ↗
46. 10.1149/1.213339910.1149/1.2133399 ↗
47. 10.1016/S1389-5567(03)00025-X10.1016/S1389-5567(03)00025-X ↗
48. 10.1016/j.apcata.2006.06.04210.1016/j.apcata.2006.06.042 ↗
49. 10.1006/jcat.1999.274010.1006/jcat.1999.2740 ↗
50. 10.1016/j.apmt.2019.04.01210.1016/j.apmt.2019.04.012 ↗
51. 10.3390/ma1604135910.3390/ma16041359 ↗
52. 10.1016/j.optmat.2023.11431310.1016/j.optmat.2023.114313 ↗
53. 10.1021/ja910568210.1021/ja9105682 ↗
54. 10.1039/C6QM00118A10.1039/C6QM00118A ↗
55. 10.1016/j.jpcs.2021.11016910.1016/j.jpcs.2021.110169 ↗
56. Haynes W. M. · 2013 · 11
57. 10.1016/0022-4596(78)90109-310.1016/0022-4596(78)90109-3 ↗
58. 10.1016/j.apsusc.2004.11.08310.1016/j.apsusc.2004.11.083 ↗
59. 10.1016/S0009-2614(00)00709-010.1016/S0009-2614(00)00709-0 ↗
60. 10.1016/j.jallcom.2019.15312710.1016/j.jallcom.2019.153127 ↗
61. 10.1016/j.jiec.2019.07.02310.1016/j.jiec.2019.07.023 ↗
62. 10.1016/j.materresbull.2011.11.01410.1016/j.materresbull.2011.11.014 ↗
63. 10.1002/elan.114006010910.1002/elan.1140060109 ↗
64. 10.1021/cr60290a00110.1021/cr60290a001 ↗
65. 10.1002/anie.20200564310.1002/anie.202005643 ↗
66. 10.1021/acs.nanolett.0c0481310.1021/acs.nanolett.0c04813 ↗
67. 10.1126/science.aaa295110.1126/science.aaa2951 ↗
68. 10.1016/j.electacta.2015.05.18710.1016/j.electacta.2015.05.187 ↗
69. 10.1016/j.electacta.2019.13474310.1016/j.electacta.2019.134743 ↗
70. 10.1002/aenm.20230100810.1002/aenm.202301008 ↗