journal article·2025-02-05

Defect Structures in Colloidal Crystals and Their Effect on Grating Diffraction Structural Color

Tianyu Liu, Chih-Mei Young, Timothy C. Moore, Sharon C. Glotzer, Michael J. Solomon

Publisher page

Abstract

Colloidal crystals of micrometer-sized colloids create prismatic structural colors through the grating diffraction of visible light. Here, we develop design rules to engineer such structural color by specifically accounting for the effect of crystal defects. The local quality and grain size of the colloidal structure are varied by performing self-assembly in the presence of a direct current (DC) electric field. The deposition, self-assembly, and crystallization of these colloids results in polycrystals of variable size, as controlled by the dissolved ion concentration (from 0.01 to 10 mM) and the applied electric current (from 1.6–310 μA/cm 2 ). Under these operating conditions, the global 6-fold crystal bond order parameter (ψ 6 ) of the self-assembled crystals varies from 0.45 ± 0.05 to 0.95 ± 0.01 and the crystal grain number density varies from about 5 to 100 per 0.01 mm 2 . We find that the grating diffraction structural color intensity of these self-assembled materials is strongly correlated with the crystal quality and grain number, with the diffraction efficiency varying by a factor of ∼2.5 over the range of ψ 6 probed. Molecular dynamics (MD) simulation of the electrophoretic deposition reproduces the kinetics of the self-assembly as well as the final structures. It also extends the number and range of deposition conditions probed, thereby creating a library that can be used to study the relationship between defect properties and the grating diffraction structural color. Applying the finite-difference time domain (FDTD) method to solve for light–material interactions in the MD simulated structures yields calculated spectra that agree with experimental observations. The analysis also identifies a design trade-off between diffraction intensity and azimuthal uniformity as order parameter and grain density are varied, thereby demonstrating that the grating diffraction structural color of self-assembled crystals of micrometer-sized colloidal spheres may be controlled by means of their local crystal quality and polycrystallinity.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Photonic Crystals and Applications · Diatoms and Algae Research · Pigment Synthesis and Properties

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

Affiliations

Department of Chemical Engineering

University of Michigan

Funding

Basic Energy Sciences

References (55)

Show source-provided references
1. 10.1038/ncomms736810.1038/ncomms7368 ↗
2. 10.1126/scirobotics.aar858010.1126/scirobotics.aar8580 ↗
3. 10.1098/rsif.2008.0366.focus10.1098/rsif.2008.0366.focus ↗
4. 10.1038/nmat193010.1038/nmat1930 ↗
5. 10.1002/anie.20130930610.1002/anie.201309306 ↗
6. 10.1002/adma.20210916110.1002/adma.202109161 ↗
7. 10.1002/adfm.20201074610.1002/adfm.202010746 ↗
8. 10.1002/anie.20110712610.1002/anie.201107126 ↗
9. 10.1021/cm401260310.1021/cm4012603 ↗
10. 10.1021/acsphotonics.8b0095210.1021/acsphotonics.8b00952 ↗
11. 10.1002/adma.20030456610.1002/adma.200304566 ↗
12. 10.1126/science.274.5289.95910.1126/science.274.5289.959 ↗
13. 10.1002/adom.20180013110.1002/adom.201800131 ↗
14. 10.1021/acsami.6b0103310.1021/acsami.6b01033 ↗
15. 10.1002/aisy.20190008510.1002/aisy.201900085 ↗
16. 10.1021/la011819910.1021/la0118199 ↗
17. 10.1002/adma.20220659310.1002/adma.202206593 ↗
18. 10.1002/adma.20220874510.1002/adma.202208745 ↗
19. 10.1002/adma.20100075510.1002/adma.201000755 ↗
20. 10.1021/acs.jpcb.1c1001510.1021/acs.jpcb.1c10015 ↗
21. 10.1021/acsami.9b2291310.1021/acsami.9b22913 ↗
22. 10.1021/ja047092310.1021/ja0470923 ↗
23. 10.1039/D0CS00706D10.1039/D0CS00706D ↗
24. 10.1038/s41598-021-90310-710.1038/s41598-021-90310-7 ↗
25. 10.1021/acsnano.3c0720210.1021/acsnano.3c07202 ↗
26. 10.1038/386057a010.1038/386057a0 ↗
27. 10.1021/acs.langmuir.7b0054710.1021/acs.langmuir.7b00547 ↗
28. 10.1126/science.272.5262.70610.1126/science.272.5262.706 ↗
29. 10.1021/la970568u10.1021/la970568u ↗
30. 10.1021/la00036a01410.1021/la00036a014 ↗
31. 10.1002/ppsc.20190015210.1002/ppsc.201900152 ↗
32. 10.1039/C4SM02893G10.1039/C4SM02893G ↗
33. 10.1002/smll.20110226510.1002/smll.201102265 ↗
34. 10.1021/la970294a10.1021/la970294a ↗
35. 10.1038/3500353010.1038/35003530 ↗
36. 10.1021/cm000274l10.1021/cm000274l ↗
37. 10.1039/C7SM00359E10.1039/C7SM00359E ↗
38. 10.1021/nn502107a10.1021/nn502107a ↗
39. 10.1021/acsanm.2c0239110.1021/acsanm.2c02391 ↗
40. 10.1002/smll.20230187110.1002/smll.202301871 ↗
41. 10.1002/adom.20190022710.1002/adom.201900227 ↗
42. 10.1073/pnas.150627211210.1073/pnas.1506272112 ↗
43. 10.1002/smll.20190551910.1002/smll.201905519 ↗
44. 10.1021/acs.langmuir.1c0189810.1021/acs.langmuir.1c01898 ↗
45. 10.1038/ncomms467610.1038/ncomms4676 ↗
46. Allan, D. B.; Caswell, T.; Keim, N. C.; der Wel, C. M.; Verweij, R. W. soft-matter/trackpy: Trackpy v0.5.0, 2021 Preprint at 10.5281/zenodo.4682814.10.5281/zenodo.4682814 ↗
47. 10.1016/j.commatsci.2019.10936310.1016/j.commatsci.2019.109363 ↗
48. Israelachvili J. N. · 2011
49. 10.1016/j.cpc.2020.10727510.1016/j.cpc.2020.107275 ↗
50. 10.1103/PhysRevLett.107.15570410.1103/PhysRevLett.107.155704 ↗
51. 10.1088/1755-1315/31/1/01201210.1088/1755-1315/31/1/012012 ↗
52. 10.1021/acsnano.9b0538210.1021/acsnano.9b05382 ↗
53. 10.1364/OE.51040010.1364/OE.510400 ↗
54. 10.1038/s41598-020-79136-x10.1038/s41598-020-79136-x ↗
55. 10.1126/science.270.5239.117710.1126/science.270.5239.1177 ↗