Ultrafast Photoflash Synthesis of High-Entropy Oxide Nanoparticles
Source abstract
Abstract
High Resolution Image Download MS PowerPoint Slide High-entropy metal oxides (HEOs) have recently received growing attention for broad energy conversion and storage applications due to their tunable properties. HEOs typically involve the combination of multiple metal cations in a single oxide lattice, thus bringing distinctive structures, controllable elemental composition, and tunable functional properties. Many synthesis methods for HEOs have been reported, such as solid-state reactions and carbon thermal shock methods. These methods frequently are energy-intensive or require relatively expensive heating equipment. In this work, we report an ultrafast photoflash synthesis method for HEO nanoparticles on diverse substrates. The energy input is provided by a commercial Xe photoflash unit, which triggers exothermic reactions to convert metal salt precursors to HEO nanoparticles within tens of milliseconds. The formation of HEO nanoparticles is attributed to the ultrafast heating (∼10 6 K/s) and cooling (∼10 5 K/s) rates of the photoflash and overall high temperature (>1000 K) during the ultrafast synthesis process. When the synthesized CoNiFeCrMn oxide (HEO) is tested as an oxygen evolution reaction electrocatalyst, it shows similar activity to similar materials prepared by other methods. We believe this photoflash synthesis provides a simple method for many others to synthesize diverse HEOs and explore their properties and potential applications.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Laser-Ablation Synthesis of Nanoparticles · Transition Metal Oxide Nanomaterials · Chalcogenide Semiconductor Thin Films
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Mechanical Engineering
Stanford University
Department of Materials Science and Engineering
Advanced Light Source
Lawrence Berkeley National Laboratory
Funding
Division of Electrical, Communications and Cyber Systems · Environmental Futures Research Institute, Griffith University · Stanford Precourt Institute of Energy and Natural Gas Initiative
References (60)
Show source-provided references
1. 10.1126/science.abn310310.1126/science.abn3103 ↗
2. 10.1038/s41467-018-05774-510.1038/s41467-018-05774-5 ↗
3. 10.1038/s41578-019-0170-810.1038/s41578-019-0170-8 ↗
4. 10.1038/s41578-019-0121-410.1038/s41578-019-0121-4 ↗
5. 10.1126/sciadv.abg160010.1126/sciadv.abg1600 ↗
6. 10.1002/adem.20030056710.1002/adem.200300567 ↗
7. 10.1016/j.msea.2003.10.25710.1016/j.msea.2003.10.257 ↗
8. 10.1038/ncomms948510.1038/ncomms9485 ↗
9. 10.1016/j.pmatsci.2013.10.00110.1016/j.pmatsci.2013.10.001 ↗
10. 10.1038/nature1798110.1038/nature17981 ↗
11. 10.3390/met702004310.3390/met7020043 ↗
12. 10.1016/j.isci.2021.10217710.1016/j.isci.2021.102177 ↗
13. 10.1103/PhysRevMaterials.3.09030110.1103/PhysRevMaterials.3.090301 ↗
14. 10.1002/adma.20180623610.1002/adma.201806236 ↗
15. 10.1016/j.matchemphys.2021.12426510.1016/j.matchemphys.2021.124265 ↗
16. 10.1002/adma.20230849010.1002/adma.202308490 ↗
17. 10.1002/adma.20231091810.1002/adma.202310918 ↗
18. 10.1002/adma.20231258310.1002/adma.202312583 ↗
19. 10.1016/j.actamat.2017.12.03710.1016/j.actamat.2017.12.037 ↗
20. 10.1038/s41563-020-00816-010.1038/s41563-020-00816-0 ↗
21. 10.1021/acsmaterialslett.9b0006410.1021/acsmaterialslett.9b00064 ↗
22. 10.1039/D1TA02718B10.1039/D1TA02718B ↗
23. 10.3389/fenrg.2022.98397910.3389/fenrg.2022.983979 ↗
24. 10.1007/s10853-022-07271-z10.1007/s10853-022-07271-z ↗
25. 10.1039/D2RA05435C10.1039/D2RA05435C ↗
26. 10.1016/j.matdes.2021.10953410.1016/j.matdes.2021.109534 ↗
27. 10.1016/j.jmmm.2019.04.02310.1016/j.jmmm.2019.04.023 ↗
28. 10.1021/acsami.9b0879410.1021/acsami.9b08794 ↗
29. 10.1016/j.jeurceramsoc.2016.09.01810.1016/j.jeurceramsoc.2016.09.018 ↗
30. 10.1002/smll.20210476110.1002/smll.202104761 ↗
31. 10.1038/s41929-020-00554-110.1038/s41929-020-00554-1 ↗
32. 10.1126/science.aan541210.1126/science.aan5412 ↗
33. 10.1002/adma.20230522210.1002/adma.202305222 ↗
34. 10.1021/acsnano.1c0425910.1021/acsnano.1c04259 ↗
35. 10.1039/D2CS00322H10.1039/D2CS00322H ↗
36. 10.1002/adfm.20100073610.1002/adfm.201000736 ↗
37. 10.1016/j.nantod.2012.02.00310.1016/j.nantod.2012.02.003 ↗
38. 10.1021/ja902348k10.1021/ja902348k ↗
39. 10.1002/adma.20090190210.1002/adma.200901902 ↗
40. 10.1007/s13233-013-1139-x10.1007/s13233-013-1139-x ↗
41. 10.1021/acsnano.8b0621710.1021/acsnano.8b06217 ↗
42. 10.1021/acsami.9b2039710.1021/acsami.9b20397 ↗
43. 10.1021/jacs.2c0676810.1021/jacs.2c06768 ↗
44. 10.1038/srep2418810.1038/srep24188 ↗
45. 10.3390/nano904057710.3390/nano9040577 ↗
46. 10.1021/ja909009810.1021/ja9090098 ↗
47. 10.1016/0022-1902(67)80008-310.1016/0022-1902(67)80008-3 ↗
48. 10.1021/jp203741y10.1021/jp203741y ↗
49. 10.1021/acs.chemrev.9b0043910.1021/acs.chemrev.9b00439 ↗
50. Bradski, G. The OpenCV Library; Dr. Dobb’s Journal of Software Tools, 2000.
51. 10.1016/S1872-2067(23)64428-610.1016/S1872-2067(23)64428-6 ↗
52. 10.1038/s44160-021-00004-110.1038/s44160-021-00004-1 ↗
53. 10.1038/s41467-023-41359-710.1038/s41467-023-41359-7 ↗
54. 10.1021/acsnano.1c0511310.1021/acsnano.1c05113 ↗
55. 10.1039/C9TA08740K10.1039/C9TA08740K ↗
56. 10.1002/adfm.20210163210.1002/adfm.202101632 ↗
57. 10.1016/j.jallcom.2021.15906410.1016/j.jallcom.2021.159064 ↗
58. 10.1557/jmr.2017.13910.1557/jmr.2017.139 ↗
59. 10.1007/s00339-017-1203-z10.1007/s00339-017-1203-z ↗
60. Yang F. · J. JSSRR · 2021 · 34 · 306